The usage of chatbots has increased tremendously since past few years. A conversational interface is an interface that the user can interact with by means of a conversation. The conversation can occur by speech but also by text input. When a chatty interface uses text, it is also described as a chatbot or a conversational medium. During this study, the user experience factors of these so called chatbots were investigated. The prime objective is “to spot the state of the art in chatbot usability and applied human-computer interaction methodologies, to research the way to assess chatbots usability". Two sorts of chatbots are formulated, one with and one without personalisation factors. the planning of this research may be a two-by-two factorial design. The independent variables are the two chatbots (unpersonalised versus personalised) and thus the speci?c task or goal the user are ready to do with the chatbot within the ?nancial ?eld (a simple versus a posh task). The results are that there was no noteworthy interaction effect between personalisation and task on the user experience of chatbots. A signi?cant di?erence was found between the two tasks with regard to the user experience of chatbots, however this variation wasn't because of personalisation.
Ionic vs flutter best platform for hybrid app development
Both frameworks are inherently different, despite having the common goal of developing high-performing mobile apps. And if you think there will be many similarities between the working process of the leading cross-platform app development frameworks, you are highly mistaken.
The document discusses key changes in embedded software development as software becomes more central to devices. It notes that code bases are larger and more distributed, interfaces are more important as consumers expect touchscreen-like experiences, and portability across platforms is a higher priority. Frameworks like Qt aim to support multiple interfaces and platforms with a common code base. The need for portability and secure connectivity is driving the use of architectures like MVC and standards like C++ while most development still uses C/C++.
The document discusses trends in mobile technology and applications. It outlines how mobile devices like smartphones and tablets are driving major changes with the rise of mobile apps and cloud computing. The mobile apps market is growing rapidly and certain types of apps like those for location services, payments, and messaging are predicted to be top trends in 2012. The presenter discusses strategies for Software Park Thailand to help the local software industry develop skills in mobile and cloud-based applications.
Pradeep K N is an iOS developer with over 5 years of experience building mobile applications using Objective-C and Xcode. He has worked on projects for clients such as Edukul, Storaenso, Picswop, Speed Clean, and Telenor. Pradeep is proficient in iOS SDK, Cocoa Touch, networking, databases, and testing. He aims to be a successful mobile developer and contribute to globally competitive teams.
TOP 5 TECHNOLOGIES TO CREATE A COMPETENT ANDROID APP IN 2019upssingh
As 2019 is around the corner, we would like to focus and want to talk about the emerging trends, tools and ideas of technology that are likely to define the coming new (2019) year. As we know IT industry never stands still, it is an ever-changing stream and people are getting involved progressively with digital devices across the globe every year.
In the digital world, where everyone is familiar, connected and dependable on digital devices like phones, smartphones, tablets and using mobile apps, apps industry getting more competent and modern. This is why mobile apps are more popular among people.
There are various apps available in the market but not necessarily all are effective, useful and working in the right way. As per the current survey, more than 75% of users open an app once and never come back as they are expecting a lot from a mobile app. Nowadays in a fast-growing world, everyone is busy and have a shortage of time so expecting the maximum work in the minimum time through digital devices.
So to design an effective mobile app there is a need to understand the people requirement and expectation, which can be done by only a skilled, creative and experienced developer who can think out of the box and listen to their client completely.
To meet with this Android app development competition trend we explain the top 5 technologies to create a competent android APP.
Mobile Developer's Guide To The Galaxy No.10Marco Tabor
The community-driven, non-commercial, free handbook about mobile technologies. Learn everything about the differences between the platforms, cross-platform approaches and key topics like how to implement NFC, security or haptics in mobile apps.
If you want the book as a hardcopy or want to get involved as a writer or sponsor, write to developers@enough.de
Ionic vs flutter best platform for hybrid app developmentMarkovate
Both frameworks are inherently different, despite having the common goal of developing high-performing mobile apps. And if you think there will be many similarities between the working process of the leading cross-platform app development frameworks, you are highly mistaken.
The document discusses key changes in embedded software development as software becomes more central to devices. It notes that code bases are larger and more distributed, interfaces are more important as consumers expect touchscreen-like experiences, and portability across platforms is a higher priority. Frameworks like Qt aim to support multiple interfaces and platforms with a common code base. The need for portability and secure connectivity is driving the use of architectures like MVC and standards like C++ while most development still uses C/C++.
The document discusses trends in mobile technology and applications. It outlines how mobile devices like smartphones and tablets are driving major changes with the rise of mobile apps and cloud computing. The mobile apps market is growing rapidly and certain types of apps like those for location services, payments, and messaging are predicted to be top trends in 2012. The presenter discusses strategies for Software Park Thailand to help the local software industry develop skills in mobile and cloud-based applications.
To Bot or Not: How Bots can Support Collaboration in Software Engineering (I...Margaret-Anne Storey
Abstract and video link below)
Presented at ICGSE 2016: Conference on Global Software Engineering (http://www.ics.uci.edu/~icgse2016/2_0cfp.html)
Video link: https://www.youtube.com/watch?v=BsgnLwPMqWM&feature=youtu.be&list=PLcm9UtazJCOLBwPaaHNn_htAjPAXIdRGr
Abstract:
Software development stakeholders require a constellation of tools to support their communication, collaboration and coordination activities. But poor tool integration can lead to gaps in knowledge flow, or worse, to an overabundance of shared communication and information. The software development community is witnessing the rise of "social bots" to integrate diverse development and communication tools and to address the challenge of information overload. A bot is a conversational user interface that can automate rote or tedious tasks. It may fetch or share information, extract and analyze data, detect and monitor events and activities in communication and social media, connect developers with each other or with other tools, or it may provide feedback on individual and collaborative development tasks. Some bots are emerging as important team members, providing support for individual and team task management and for the automation of dev-ops and customer support. However, the rapid adoption of bots and the platforms that support them brings possible drawbacks. Designing effective platforms for bots is challenging and bots may introduce alienation among stakeholders or lead to other technical challenges. In this talk, I will discuss the emerging role of bots in software development and describe some of the advantages and challenges that may lie ahead.
IRJET- G-Chat: A Game and Chat ApplicationIRJET Journal
This document describes a proposed mobile application called G-Chat that combines chat and gaming features. The application aims to provide full-time entertainment for users and improve thinking capabilities. It would allow users to chat, add games, create subgroups, and play games like quizzes on general knowledge and aptitude. The application would be developed using Android Studio, Java, JavaScript and Unity for scripting and displaying games. It would assign each registered user a unique ID number to login via username and password. Users could then select games and join chat groups to communicate with others playing the same game. The application seeks to make chatting and gaming more engaging and improve user interaction and intelligence.
Effective Printing Text using Bluetooth Technology from Android Applicationijtsrd
In communication Bluetooth technology is becoming popular standard, in wireless technologies it is one of the most expeditious growing field. It is very facile to utilize and can meet most of todays injuctive authorizations of mobile and personal communication wireless part of this communication is handled by Bluetooth. Between these contrivances it transmits and receives data. While mobile phone is not just a phone these days. there are no of applications used in mobile wireless printing. its quite popular to print from a mobile applications. this paper aims to do that. in market each of printer company has its own printing application. the main aim of this work is to develop only android application for all printers as to implement real time thermal printing from mobile application even through voice command. Leena Nerkar | Ankita Deore | Priyanka Mali | Mayuri Bahikar"Effective Printing Text using Bluetooth Technology from Android Application" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL: http://www.ijtsrd.com/papers/ijtsrd12915.pdf http://www.ijtsrd.com/engineering/computer-engineering/12915/effective-printing-text-using-bluetooth-technology-from-android-application/leena-nerkar
Backgrounded on Rococo Software including three product areas:
- Java/Bluetooth and JSR82
- Bluetooth in the Browser with BONDI / WAC / JIL
- Social Proximity Framework : LocalSocial
Govindarao Annigeri is an experienced engineering leader with 10 years of experience developing Android, cloud, and embedded applications. He currently works as an Engineering Manager at Micromax, where he is responsible for delivering end-to-end mobile and web applications. Some of his past projects include developing fitness, music, and help applications for Motorola, as well as building out critical programs and launching products at Micromax. He has a bachelor's degree in computer science and is proficient in Java, C/C++, Android, and various development tools and methodologies.
Thorsignia - Custom software development services in indiacharan Teja
Thorsignia is a leading IT and Multimedia company that provides an integrated range of services. We render finest quality outputs to our clients through our domain expertise.
Top low code mobile app development platformsRupesh Dhiwar
Mobile application use is becoming the trend for global consumers, How low code mobile app development tools are making it easier to develop business apps
IRJET - A Web-based College Enquiry Chatbot using .Net and DatasetIRJET Journal
This document describes the development of a web-based chatbot for college student inquiries using .NET and a dataset. The chatbot uses natural language processing techniques like bigrams and sentence similarity to match student questions to answers in its database. It allows students to remotely ask questions about topics like admissions, departments, and programs. An authorized administrator can modify answers as needed. The chatbot was created in .NET on Microsoft Visual Studio and links to a SQL dataset for responses. It provides a helpful resource for students to get college information without visiting campus.
Introduction To Mobile Application DevelopmentSyed Absar
This document provides an introduction to mobile application development. It discusses the speaker's background in mobile development. It then covers what mobile computing is, different areas it can be used like business and games. It describes how mobile applications are developed, listing different platforms, languages, and tools used. It discusses salaries for mobile jobs and how to develop for specific platforms like Android, iOS, Windows and more. It promotes cross-platform development and concludes by welcoming the reader to the field of mobile development.
This document provides an overview of considerations for developing mobile apps. It discusses the popularity of mobile apps compared to mobile web browsing. It then covers the two main mobile platforms - iOS and Android, including development tools, stores, and OS market share for each. Cross-platform development options are also introduced. The document discusses monetization strategies like paid apps, freemium, and ads. It provides examples of successful monetization and average app prices. Overall tips are given around starting with your first app idea and consistency in app development.
Priyotosh Kumar Ghosh is an application developer at IBM India Private Limited with over 3 years of experience developing mobile apps. He has skills in technologies like Java, HTML5, CSS, Android and frameworks like Sencha Touch, IBM Worklight. He has developed several mobile apps for banking, retail, healthcare and insurance domains for clients in India and UK. He is currently learning IBM Worklight 6.2 platform for cross-platform mobile development.
Certificate Examination Developement Application for Smartphone english ver1.0河上 純二
D2C Inc. provides a certificate examination application for measuring smartphone application development skills. The examination consists of multiple choice and narrative questions testing various categories related to application development such as APIs, hardware, servers, UIs, debugging, and programming languages. It aims to close knowledge gaps and improve teaching and learning of computer programming. The examination is used by application developers, research institutions, and outsourcing companies to evaluate skills. Future plans include expanding the categories covered and releasing educational training courses.
This document discusses different approaches to mobile front-end development, including native development, unified frameworks, and web development. Native development involves creating platform-specific apps and offers the best performance and features but at a higher cost. Unified frameworks like Xamarin and Qt allow writing once and deploying to multiple platforms but may not match native performance and look-and-feel. Web development using responsive design can be cost-effective but offers fewer features and poorer performance than native alternatives. The best approach depends on an app's requirements regarding platforms, features, and budgets.
This document provides an overview of various types of chatbots, including their applications and advantages/limitations. It discusses menu-based chatbots, linguistic chatbots, ML chatbots, hybrid chatbots, and voice bots. The key types are menu-based rule-based bots, AI-enabled linguistic and ML bots, and hybrid bots that combine rule-based and AI approaches. Chatbots can be useful in many domains from customer service to healthcare but training requirements and response times vary significantly between rule-based and AI-powered chatbot types.
Mark Swaine UX Guy Designing Bot ExperiencesMark N Swaine
The document discusses the rise of messaging platforms and chatbots. It notes that messaging apps are increasingly used for both personal and business communication, replacing voice calls and emails. As messaging grows, companies are exploring using chatbots for customer service and marketing through platforms like Facebook Messenger, WhatsApp, and Slack. The document provides an overview of some popular tools for developing chatbots and outlines important considerations for designing the user experience of a chatbot, such as ensuring the core services can be represented through natural language conversations and testing the dialogue flows.
A guide to choosing an enterprise bot builder platformGina Shaw
Research says that 42% of companies plan to invest in Artificial Intelligence.
So your Enterprise need a chatbot??? This deck will help you to better understand the Enterprise Chatbots & Features you should look for when choosing a bot builder platform.
Artificial intelligence is growing rapidly with the use of chatbots. The use of chatbots in mobile app development is becoming more popular in the software business
Do you use the internet? Do you use websites with customer support live chat? If you answered yes to any of the questions I asked above, then chances are you have the first-hand experience of interacting with a chatbot. With digital interaction reaching new heights, chatbots have become quite the new buzz. And over the time chatbots have evolved too. When chatbots were conceived, they sounded entirely robotic, but today with the advancements in machine learning, these chatbots have improved in analysing the legions of data provided to them. They almost feel human when talking to.
This document summarizes a survey paper on chatbots. It discusses how chatbots can be used to relieve stress in adolescents through continuous dialogue that provides positive information and guidance. The proposed "HappySoul" chatbot system would act as a virtual friend to help stressed adolescents express their negative feelings and release stress. The technology at the core of such chatbots is natural language processing, recurrent neural networks, and a client-server architecture with an Android GUI. Key applications of chatbots discussed include assisting dementia patients, helping insomniacs, allowing marginalized communities to provide feedback, and making medical diagnoses faster.
This document summarizes a survey paper on chatbots. It discusses how chatbots use natural language processing to understand user queries and generate responses in a conversational manner. The document outlines the methodology of the proposed chatbot, which uses a client-server architecture with an Android application as the front-end and a recurrent neural network on the server to process inputs and generate outputs. The chatbot is intended to help relieve stress and anxiety in adolescents through positive conversations.
A chatbot is an Artificial Intelligence (AI) program that simulates human conversation by interacting with people via text or speech. Chatbots use Natural Language Processing (NLP) and machine learning algorithms to comprehend user input and deliver pertinent responses. Chatbots can be integrated into various platforms, including messaging programs, websites, and mobile applications, to provide immediate responses to user queries, automate tedious processes, and increase user engagement.
A chatbot is an Artificial Intelligence (AI) program that simulates human conversation by interacting with people via text or speech. Chatbots use Natural Language Processing (NLP) and machine learning algorithms to comprehend user input and deliver pertinent responses. Chatbots can be integrated into various platforms, including messaging programs, websites, and mobile applications, to provide immediate responses to user queries, automate tedious processes, and increase user engagement.
How to build an AI-powered chatbot.pdfJamieDornan2
A chatbot is an Artificial Intelligence (AI) program that simulates human conversation by interacting with people via text or speech. Chatbots use Natural Language Processing (NLP) and machine learning algorithms to comprehend user input and deliver pertinent responses.
Chatbots have grown business by drawing in a greater number of customers, investigating customer data, providing personalized support and thus increasing sales. This has made an evident feature in app development
Few Chatbots Expert Interview Questions & Answer For FreshersRobert Smith
Chatbots — automated conversation systems — have become increasingly sophisticated. Should you design and deploy one that can interact with your customers? If you’re an executive making that decision right now, you may feel caught between A.I. hype on the one hand and the fear that machines might not treat your customers right on the other.
The rise of Chatbots and Virtual Assistants in Customer ExperienceLucy Zeniffer
From simple questions to complex tasks, chatbots and virtual assistants are transforming customer experience. These AI smarts offer around-the-clock assistance, answer inquiries instantly, and even tailor interactions. Businesses are leveraging this technology to streamline support, enhance customer satisfaction, and gain a competitive edge.
Chatbots, and how will Microsoft help us with this?PVS-Studio
This overview article is devoted to the study of a trend which is growing rapidly in popularity in the IT industry - chatbots, and the role of Microsoft in their development process. The article will cover the history of chatbots, peculiar properties of bots, the main, and also some unexpected spheres of their application, perspectives and technology limits.
We have deliberately chosen Microsoft as the main platform for comparative research. The company does a lot of work in the field of promotion and development of intelligent bots. One of the main steps in this direction is a framework for creation of custom bots Microsoft Bot Framework platform - independent and open source; Microsoft presented it at the Build 2016 exhibition.
IRJET- Artificial Intelligence Based Chat-BotIRJET Journal
1) The document describes the development of an artificial intelligence chatbot to provide guidance to visitors of a mall. It will provide navigation directions to shops, showtimes for movies, and highlight current discounts.
2) The chatbot uses a Verbot engine for natural language processing and a database to store shop and product information provided by mall owners. It responds to user queries and provides answers, declaring invalid responses that can be modified or deleted by administrators.
3) The proposed system architecture includes home, login, registration, and search screens to allow users to find product discounts via chat with the virtual assistant bot.
All You Need To Know About Chatbot Development.pdfJPLoft Solutions
Chatbots could reduce your client service costs and waiting time. They're helpful for everyone. They also provide various services ranging from answering simple queries to handling more complex personal requests. Understanding chatbots and their functions will help you determine whether they're the right choice for your needs.
Explore the world of AI-powered chatbots and their powerful benefits. Streamline your business communication with cutting-edge technology for enhanced customer satisfaction. Read now! https://www.syscraftonline.com/blog/what-are-ai-powered-chatbots-and-their-benefits
This document provides an overview of chatbots, including: definitions of chatbots, the history of chatbots beginning in the 1960s, problems with current chatbot scenarios, educational and system requirements for developing chatbots, how chatbots work, types of chatbots, principles of chatbot design, data flow diagrams and ER diagrams related to chatbots, chatbot architecture, advantages and disadvantages of chatbots compared to humans, examples of successful chatbots, applications and limitations of chatbots, and conclusions. It also includes an index of topics covered and references related to chatbot design.
An Implementation of Voice Assistant for Hospitalitysipij
Voice user interface has gained popularity in the recent years. A chatbot is a machine with the ability to answer automatically through a conversational interface. Instead of using mouse and keyboards as input and screen as output, a chatbot with extra voice user interface feature improve the system and enhance the user experience. A chatbot is considered as one of the most exceptional and promising expressions of human computer interaction. Voice-based chatbots or artificial intelligence (AI) devices transform humancomputer bidirectional interactions that allow users to navigate an interactive voice response (IVR) system with their voice generally using natural language. In this paper, we focus on voice based chatbots for mediating interactions between hotels and guests from both the hospitality technology providers’ and guests’ perspectives. A hotel web application with voice user interface was implemented which provides voice input/output interface to enhance the user experience. Speech recognition component was used to dictate the user voice input to text. Speech synthesis API was used for text to voice conversion. A closed domain question answering (cdQA) Natural Language Processing (NLP) solution was used for processingof query and return the best answer possible.
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Understanding the Impact and Challenges of Corona Crisis on Education Sector...vivatechijri
n the second week of March 2020, governments of all states in a country suddenly declared
shutting down of all colleges and schools for a temporary period of time as an immediate measure to stop the
spread of pandemic that is of novel corona virus. As the days pass by almost close to a month with no certainty
when they will again reopen. Due to pandemic like this an alarm bells have started sounding in the field of
education where a huge impact can be seen on teaching and learning process as well as on the entire education
sector in turn. The pandemic disruption like this is actually gave time to educators of today to really think about
the sector. Through the present research article, the author is highlighting on the possible impact of
coronavirus on education sector with the future challenges for education sector with possible suggestions.
LEADERSHIP ONLY CAN LEAD THE ORGANIZATION TOWARDS IMPROVEMENT AND DEVELOPMENT vivatechijri
This document discusses the importance of leadership in leading an organization towards improvement and development. It states that leadership is responsible for providing a clear vision and strategy to successfully achieve that vision. Effective leadership can impact the success of an organization by controlling its direction and motivating employees. Leadership is different from traditional management in that it guides employees towards organizational goals through open communication and motivation, rather than simply directing work. The paper concludes that only leadership can lead an organization to change according to its evolving environment, while management may simply follow old rules. Leadership is key to adapting to new market needs and trends.
The topic of assignment is a critical problem in mathematics and is further explored in the real
physical world. We try to implement a replacement method during this paper to solve assignment problems with
algorithm and solution steps. By using new method and computing by existing two methods, we analyse a
numerical example, also we compare the optimal solutions between this new method and two current methods. A
standardized technique, simple to use to solve assignment problems, may be the proposed method
Structural and Morphological Studies of Nano Composite Polymer Gel Electroly...vivatechijri
The document summarizes research on a nano composite polymer gel electrolyte containing SiO2 nanoparticles. Key points:
1. Polyvinylidene fluoride-co-hexafluoropropylene polymer was used as the base polymer mixed with propylene carbonate, magnesium perchlorate, and SiO2 nanoparticles to synthesize the nano composite polymer gel electrolyte.
2. The electrolyte was characterized using XRD, SEM, and FTIR which confirmed the homogeneous dispersion of SiO2 nanoparticles and increased amorphous nature of the electrolyte, enhancing its ion conductivity.
3. XRD showed decreased crystallinity and disappearance of polymer peaks upon addition of SiO2. SEM revealed
Theoretical study of two dimensional Nano sheet for gas sensing applicationvivatechijri
This study is focus on various two dimensional material for sensing various gases with theoretical
view for new research in gas sensing application. In this paper we review various two dimensional sheet such as
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atmosphere.
METHODS FOR DETECTION OF COMMON ADULTERANTS IN FOODvivatechijri
Food is essential forliving. Food adulteration deceives consumers and can endanger their health. The
purpose of this document is to list common food adulterant methods commonly found in India. An adulterant is
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they can be harmless.
The novel ideas of being a entrepreneur is a key for everyone to get in the hustle, but developing a
idea from core requires a systematic plan, time management, time investment and most importantly client
attention. The Time required for developing may vary from idea to idea and strength of the team. Leadership to
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Techniques to qualify the huddles is another aspect of Business Development and client Retention.
Innovation for supporting prosperity has for quite some time been a focus on numerous orders, including PC science, brain research, and human-PC connection. In any case, the meaning of prosperity isn't continuously clear and this has suggestions for how we plan for and evaluate advances that intend to cultivate it. Here, we talk about current meanings of prosperity and how it relates with and now and then is a result of self-amazing quality. We at that point center around how innovations can uphold prosperity through encounters of self-amazing quality, finishing with conceivable future bearings.
An Alternative to Hard Drives in the Coming Future:DNA-BASED DATA STORAGEvivatechijri
Demand for data storage is growing exponentially, but the capacity of existing storage media is not keeping up, there emerges a requirement for a storage medium with high capacity, high storage density, and possibility to face up to extreme environmental conditions. According to a research in 2018, every minute Google conducted 3.88 million searches, other people posted 49,000 photos on Instagram, sent 159,362,760 e-mails, tweeted 473,000 times and watched 4.33 million videos on YouTube. In 2020 it estimated a creation of 1.7 megabytes of knowledge per second per person globally, which translates to about 418 zettabytes during a single year. The magnetic or optical data-storage systems that currently hold this volume of 0s and 1s typically cannot last for quite a century. Running data centres takes vast amounts of energy. In short, we are close to have a substantial data-storage problem which will only become more severe over time. Deoxyribonucleic acid (DNA) are often potentially used for these purposes because it isn't much different from the traditional method utilized in a computer. DNA’s information density is notable, 215 petabytes or 215 million gigabytes of data can be stored in just one gram of DNA. First we can encode all data at a molecular level and then store it in a medium that will last for a while and not become out-dated just like floppy disks. Due to the improved techniques for reading and writing DNA, a rapid increase is observed in the amount of possible data storage in DNA.
The Smart glasses Technology of wearable computing aims to identify the computing devices into today’s world.(SGT) are wearable Computer glasses that is used to add the information alongside or what the wearer sees. They are also able to change their optical properties at runtime.(SGT) is used to be one of the modern computing devices that amalgamate the humans and machines with the help of information and communication technology. Smart glasses is mainly made up of an optical head-mounted display or embedded wireless glasses with transparent heads- up display or augmented reality (AR) overlay in it. In recent years, it is been used in the medical and gaming applications, and also in the education sector. This report basically focuses on smart glasses, one of the categories of wearable computing which is very popular presently in the media and expected to be a big market in the next coming years. It Evaluate the differences from smart glasses to other smart devices. It introduces many possible different applications from the different companies for the different types of audience and gives an overview of the different smart glasses which are available presently and will be available after the next few years.
Future Applications of Smart Iot Devicesvivatechijri
With the Internet of Things (IoT) bit by bit creating as the resulting time of the headway of the Internet, it gets critical to see the diverse expected zones for the utilization of IoT and the research challenges that are connected with these applications going from splendid savvy urban areas, to medical care administrations, shrewd farming, collaborations and retail. IoT is needed to attack into for all expectations and purposes for all pieces of our day-to-day life. Despite the fact that the current IoT enabling advancements have immensely improved in the continuous years, there are so far different issues that require attention. Since the IoT ideas results from heterogeneous advancements, many examination difficulties will arise. In like manner, IoT is planning for new components of exploration to be finished. This paper presents the progressing headway of IoT advancements and inspects future applications.
The Internet, today, has become an important part of our lives. The World Wide Web that was once a small and inaccessible data storage service is now large and valuable. Current activities partially or completely integrated into the physical world can be made to a higher standard. All activities related to our daily life are mapped and linked to another business in the digital world. The world has seen great strides in the Internet and in 3D stereoscopic displays. The time has come to unite the two to bring a new level of experience to the users. 3D Internet is a concept that is yet to be used and requires browsers to be equipped with in-depth visualization and artificial intelligence. When this material is included, the Internet concept of material may become a reality discussed in this paper. In this paper we have discussed the features, possible setting methods, applications, and advantages and disadvantages of using the Internet. With this paper we aim to provide a clear view of 3D Internet and the potential benefits associated with this obviously cost the amount of investment needed to be used.
Recommender System (RS) has emerged as a significant research interest that aims to assist users to seek out items online by providing suggestions that closely match their interests. Recommender system, an information filtering technology employed in many items is presented in internet sites as per the interest of users, and is implemented in applications like movies, music, venue, books, research articles, tourism and social media normally. Recommender systems research is usually supported comparisons of predictive accuracy: the higher the evaluation scores, the higher the recommender. One amongst the leading approaches was the utilization of advice systems to proactively recommend scholarly papers to individual researchers. In today's world, time has more value and therefore the researchers haven't any much time to spend on trying to find the proper articles in line with their research domain. Recommender Systems are designed to suggest users the things that best fit the user needs and preferences. Recommender systems typically produce an inventory of recommendations in one among two ways -through collaborative or content-based filtering. Additionally, both the general public and also the non-public used descriptive metadata are used. The scope of the advice is therefore limited to variety of documents which are either publicly available or which are granted copyright permits. Recommendation systems (RS) support users and developers of varied computer and software systems to beat information overload, perform information discovery tasks and approximate computation, among others.
The study LiFi (Light Fidelity) demonstrates about how can we use this technology as a medium of communication similar to Wifi . This is the latest technology proposed by Harold Haas in 2011. It explains about the process of transmitting data with the help of illumination of an Led bulb and about its speed intensity to transmit data. Basically in this paper, author will discuss about the technology and also explain that how we can replace from WiFi to LiFi . WiFi generally used for wireless coverage within the buildings while LiFi is capable for high intensity wireless data coverage in limited areas with no obstacles .This research paper represents introduction of the Lifi technology,performance,modulation and challenges. This research paper can be used as a reference and knowledge to develop some of LiFitechnology.
Social media platform and Our right to privacyvivatechijri
The advancement of Information Technology has hastened the ability to disseminate information across the globe. In particular, the recent trends in ‘Social Networking’ have led to a spark in personally sensitive information being published on the World Wide Web. While such socially active websites are creative tools for expressing one’s personality it also entails serious privacy concerns. Thus, Social Networking websites could be termed a double edged sword. It is important for the law to keep abreast of these developments in technology. The purpose of this paper is to demonstrate the limits of extending existing laws to battle privacy intrusions in the Internet especially in the context of social networking. It is suggested that privacy specific legislation is the most appropriate means of protecting online privacy. In doing so it is important to maintain a balance between the competing right of expression, the failure of which may hinder the reaping of benefits offered by Internet technology
THE USABILITY METRICS FOR USER EXPERIENCEvivatechijri
THE USABILITY METRICS FOR USER EXPERIENCE was innovatively created by Google engineers and it is ready for production in record time. The success of Google is to attributed the efficient search algorithm, and also to the underlying commodity hardware. As Google run number of application then Google’s goal became to build a vast storage network out of inexpensive commodity hardware. So Google create its own file system, named as THE USABILITY METRICS FOR USER EXPERIENCE that is GFS. THE USABILITY METRICS FOR USER EXPERIENCE is one of the largest file system in operation. Generally THE USABILITY METRICS FOR USER EXPERIENCE is a scalable distributed file system of large distributed data intensive apps. In the design phase of THE USABILITY METRICS FOR USER EXPERIENCE, in which the given stress includes component failures , files are huge and files are mutated by appending data. The entire file system is organized hierarchically in directories and identified by pathnames. The architecture comprises of multiple chunk servers, multiple clients and a single master. Files are divided into chunks, and that is the key design parameter. THE USABILITY METRICS FOR USER EXPERIENCE also uses leases and mutation order in their design to achieve atomicity and consistency. As of there fault tolerance, THE USABILITY METRICS FOR USER EXPERIENCE is highly available, replicas of chunk servers and master exists.
Google File System was innovatively created by Google engineers and it is ready for production in record time. The success of Google is to attributed the efficient search algorithm, and also to the underlying commodity hardware. As Google run number of application then Google’s goal became to build a vast storage network out of inexpensive commodity hardware. So Google create its own file system, named as Google File System that is GFS. Google File system is one of the largest file system in operation. Generally Google File System is a scalable distributed file system of large distributed data intensive apps. In the design phase of Google file system, in which the given stress includes component failures , files are huge and files are mutated by appending data. The entire file system is organized hierarchically in directories and identified by pathnames. The architecture comprises of multiple chunk servers, multiple clients and a single master. Files are divided into chunks, and that is the key design parameter. Google File System also uses leases and mutation order in their design to achieve atomicity and consistency. As of there fault tolerance, Google file system is highly available, replicas of chunk servers and master exists.
A Study of Tokenization of Real Estate Using Blockchain Technologyvivatechijri
Real estate is by far one of the most trusted investments that people have preferred, being a lucrative investment it provides a steady source of income in the form of lease and rents. Although there are numerous advantages, one of the key downsides of real estate investments is lack of liquidity. Thus, even though global real estate investments amount to about twice the size of investments in stock markets, the number of investors in the real estate market is significantly lower. Block chain technology has real potential in addressing the issues of liquidity and transparency, opening the market to even retail investors. Owing to the functionality and flexibility of creating Security Tokens, which are backed by real-world assets, real estate can be made liquid with the help of Special Purpose Vehicles. Tokens of ERC 777 standard, which represent fractional ownership of the real estate can be purchased by an investor and these tokens can also be listed on secondary exchanges. The robustness of Smart Contracts can enable the efficient transfer of tokens and seamless distribution of earnings amongst the investors. This work describes Ethereum blockchainbased solutions to make the existing Real Estate investment system much more efficient.
A Study of Data Storage Security Issues in Cloud Computingvivatechijri
Cloudcomputingprovidesondemandservicestoitsclients.Datastorageisamongoneoftheprimaryservices providedbycloudcomputing.Cloudserviceproviderhoststhedataofdataownerontheirserverandusercan accesstheirdatafromtheseservers.Asdata,ownersandserversaredifferentidentities,theparadigmofdata storagebringsupmanysecuritychallenges.Anindependentmechanismisrequiredtomakesurethatdatais correctlyhostedintothecloudstorageserver.Inthispaper,wewilldiscussthedifferenttechniquesthatare usedforsecuredatastorageoncloud. Cloud computing is a functional paradigm that is evolving and making IT utilization easier by the day for consumers. Cloud computing offers standardized applications to users online and in a manner that can be accessed regularly. Such applications can be accessed by as many persons as permitted within an organization without bothering about the maintenance of such application. The Cloud also provides a channel to design and deploy user applications including its storage space and database without bothering about the underlying operating system. The application can run without consideration for on premise infrastructure. Also, the Cloud makes massive storage available both for data and databases. Storage of data on the Cloud is one of the core activities in Cloud computing. Storage utilizes infrastructure spread across several geographical locations.
Virtual reality is a machinery by-way-of which consumer can interact inside three-3 atmosphere by mean of electronic appliance. Virtual reality (cyberspace) will provide interactive practice through the assistance of virtual reality gadgets like VR thick pair of goggles sensor gloves. with the help of this technology user are absorbed and connect to three-dimensional worlds without viewing physical in front of shop with this customer can feel and sense the product through virtual environment this will increase the buyer better understanding and provide better view about product as compared to Electronic-Commerce experience. This will benefitcustomer as well as seller of the product, consumer can view and sense it through the help Virtual reality gadgets at any place at any time. This research study fundamentally based how to improve E-shopping with the use cyberspace technology simulation. The idea involves making the e-shopping experience more intuitive, closer to the experience of visiting a real shop, and providing on-line three-dimensional interfaces for the entire process from shop design and product placement to customer experience analysis.
How to Manage Internal Notes in Odoo 17 POSCeline George
In this slide, we'll explore how to leverage internal notes within Odoo 17 POS to enhance communication and streamline operations. Internal notes provide a platform for staff to exchange crucial information regarding orders, customers, or specific tasks, all while remaining invisible to the customer. This fosters improved collaboration and ensures everyone on the team is on the same page.
Social media management system project report.pdfKamal Acharya
The project "Social Media Platform in Object-Oriented Modeling" aims to design
and model a robust and scalable social media platform using object-oriented
modeling principles. In the age of digital communication, social media platforms
have become indispensable for connecting people, sharing content, and fostering
online communities. However, their complex nature requires meticulous planning
and organization.This project addresses the challenge of creating a feature-rich and
user-friendly social media platform by applying key object-oriented modeling
concepts. It entails the identification and definition of essential objects such as
"User," "Post," "Comment," and "Notification," each encapsulating specific
attributes and behaviors. Relationships between these objects, such as friendships,
content interactions, and notifications, are meticulously established.The project
emphasizes encapsulation to maintain data integrity, inheritance for shared behaviors
among objects, and polymorphism for flexible content handling. Use case diagrams
depict user interactions, while sequence diagrams showcase the flow of interactions
during critical scenarios. Class diagrams provide an overarching view of the system's
architecture, including classes, attributes, and methods .By undertaking this project,
we aim to create a modular, maintainable, and user-centric social media platform that
adheres to best practices in object-oriented modeling. Such a platform will offer users
a seamless and secure online social experience while facilitating future enhancements
and adaptability to changing user needs.
Natural Is The Best: Model-Agnostic Code Simplification for Pre-trained Large...YanKing2
Pre-trained Large Language Models (LLM) have achieved remarkable successes in several domains. However, code-oriented LLMs are often heavy in computational complexity, and quadratically with the length of the input code sequence. Toward simplifying the input program of an LLM, the state-of-the-art approach has the strategies to filter the input code tokens based on the attention scores given by the LLM. The decision to simplify the input program should not rely on the attention patterns of an LLM, as these patterns are influenced by both the model architecture and the pre-training dataset. Since the model and dataset are part of the solution domain, not the problem domain where the input program belongs, the outcome may differ when the model is trained on a different dataset. We propose SlimCode, a model-agnostic code simplification solution for LLMs that depends on the nature of input code tokens. As an empirical study on the LLMs including CodeBERT, CodeT5, and GPT-4 for two main tasks: code search and summarization. We reported that 1) the reduction ratio of code has a linear-like relation with the saving ratio on training time, 2) the impact of categorized tokens on code simplification can vary significantly, 3) the impact of categorized tokens on code simplification is task-specific but model-agnostic, and 4) the above findings hold for the paradigm–prompt engineering and interactive in-context learning and this study can save reduce the cost of invoking GPT-4 by 24%per API query. Importantly, SlimCode simplifies the input code with its greedy strategy and can obtain at most 133 times faster than the state-of-the-art technique with a significant improvement. This paper calls for a new direction on code-based, model-agnostic code simplification solutions to further empower LLMs.
Encontro anual da comunidade Splunk, onde discutimos todas as novidades apresentadas na conferência anual da Spunk, a .conf24 realizada em junho deste ano em Las Vegas.
Neste vídeo, trago os pontos chave do encontro, como:
- AI Assistant para uso junto com a SPL
- SPL2 para uso em Data Pipelines
- Ingest Processor
- Enterprise Security 8.0 (Maior atualização deste seu release)
- Federated Analytics
- Integração com Cisco XDR e Cisto Talos
- E muito mais.
Deixo ainda, alguns links com relatórios e conteúdo interessantes que podem ajudar no esclarecimento dos produtos e funções.
https://www.splunk.com/en_us/campaigns/the-hidden-costs-of-downtime.html
https://www.splunk.com/en_us/pdfs/gated/ebooks/building-a-leading-observability-practice.pdf
https://www.splunk.com/en_us/pdfs/gated/ebooks/building-a-modern-security-program.pdf
Nosso grupo oficial da Splunk:
https://usergroups.splunk.com/sao-paulo-splunk-user-group/
In May 2024, globally renowned natural diamond crafting company Shree Ramkrishna Exports Pvt. Ltd. (SRK) became the first company in the world to achieve GNFZ’s final net zero certification for existing buildings, for its two two flagship crafting facilities SRK House and SRK Empire. Initially targeting 2030 to reach net zero, SRK joined forces with the Global Network for Zero (GNFZ) to accelerate its target to 2024 — a trailblazing achievement toward emissions elimination.
A brief introduction to quadcopter (drone) working. It provides an overview of flight stability, dynamics, general control system block diagram, and the electronic hardware.
Exploring Deep Learning Models for Image Recognition: A Comparative Reviewsipij
Image recognition, which comes under Artificial Intelligence (AI) is a critical aspect of computer vision,
enabling computers or other computing devices to identify and categorize objects within images. Among
numerous fields of life, food processing is an important area, in which image processing plays a vital role,
both for producers and consumers. This study focuses on the binary classification of strawberries, where
images are sorted into one of two categories. We Utilized a dataset of strawberry images for this study; we
aim to determine the effectiveness of different models in identifying whether an image contains
strawberries. This research has practical applications in fields such as agriculture and quality control. We
compared various popular deep learning models, including MobileNetV2, Convolutional Neural Networks
(CNN), and DenseNet121, for binary classification of strawberry images. The accuracy achieved by
MobileNetV2 is 96.7%, CNN is 99.8%, and DenseNet121 is 93.6%. Through rigorous testing and analysis,
our results demonstrate that CNN outperforms the other models in this task. In the future, the deep
learning models can be evaluated on a richer and larger number of images (datasets) for better/improved
results.
Software Engineering and Project Management - Introduction to Project ManagementPrakhyath Rai
Introduction to Project Management: Introduction, Project and Importance of Project Management, Contract Management, Activities Covered by Software Project Management, Plans, Methods and Methodologies, some ways of categorizing Software Projects, Stakeholders, Setting Objectives, Business Case, Project Success and Failure, Management and Management Control, Project Management life cycle, Traditional versus Modern Project Management Practices.
Best Practices of Clothing Businesses in Talavera, Nueva Ecija, A Foundation ...IJAEMSJORNAL
This study primarily aimed to determine the best practices of clothing businesses to use it as a foundation of strategic business advancements. Moreover, the frequency with which the business's best practices are tracked, which best practices are the most targeted of the apparel firms to be retained, and how does best practices can be used as strategic business advancement. The respondents of the study is the owners of clothing businesses in Talavera, Nueva Ecija. Data were collected and analyzed using a quantitative approach and utilizing a descriptive research design. Unveiling best practices of clothing businesses as a foundation for strategic business advancement through statistical analysis: frequency and percentage, and weighted means analyzing the data in terms of identifying the most to the least important performance indicators of the businesses among all of the variables. Based on the survey conducted on clothing businesses in Talavera, Nueva Ecija, several best practices emerge across different areas of business operations. These practices are categorized into three main sections, section one being the Business Profile and Legal Requirements, followed by the tracking of indicators in terms of Product, Place, Promotion, and Price, and Key Performance Indicators (KPIs) covering finance, marketing, production, technical, and distribution aspects. The research study delved into identifying the core best practices of clothing businesses, serving as a strategic guide for their advancement. Through meticulous analysis, several key findings emerged. Firstly, prioritizing product factors, such as maintaining optimal stock levels and maximizing customer satisfaction, was deemed essential for driving sales and fostering loyalty. Additionally, selecting the right store location was crucial for visibility and accessibility, directly impacting footfall and sales. Vigilance towards competitors and demographic shifts was highlighted as essential for maintaining relevance. Understanding the relationship between marketing spend and customer acquisition proved pivotal for optimizing budgets and achieving a higher ROI. Strategic analysis of profit margins across clothing items emerged as crucial for maximizing profitability and revenue. Creating a positive customer experience, investing in employee training, and implementing effective inventory management practices were also identified as critical success factors. In essence, these findings underscored the holistic approach needed for sustainable growth in the clothing business, emphasizing the importance of product management, marketing strategies, customer experience, and operational efficiency.
20CDE09- INFORMATION DESIGN
UNIT I INCEPTION OF INFORMATION DESIGN
Introduction and Definition
History of Information Design
Need of Information Design
Types of Information Design
Identifying audience
Defining the audience and their needs
Inclusivity and Visual impairment
Case study.
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Enhancing The Capability of Chatbots
Bhavik Mehta1,
Prof. Pradnya Mhatre2
1
(Department of MCA, University of Mumbai, India)
2
(Department of MCA, University of Mumbai, India)
Abstract--The usage of chatbots has increased tremendously since past few years.A conversational interface is an
interface that the user can interact with by means of a conversation.The conversation can occur by speech but also by text
input. When a chatty interface uses text, it is also described as a chatbot or a conversational medium. During this study,
the user experience factors of these so called chatbots were investigated. The prime objective is “to spot the state of the
art in chatbot usability and applied human-computer interaction methodologies, to research the way to assess chatbots
usability". Two sorts of chatbots are formulated, one with and one without personalisation factors. the planning of this
research may be a two-by-two factorial design. The independent variables are the two chatbots (unpersonalised versus
personalised) and thus the specific task or goal the user are ready to do with the chatbot within the financial field (a
simple versus a posh task). The results are that there was no noteworthy interaction effect between personalisation and
task on the user experience of chatbots. A significant difference was found between the two tasks with regard to the user
experience of chatbots, however this variation wasn't because of personalisation.
Keywords: Chatbots, Conversational interfaces, Finance,Personalisation,Usability, User Experience,
I. INTRODUCTION
Conversational AI experiences are on the increase as tongue and machine learning technologies advance. However, enterprise
chatbot failure can often emerge as a result of the restrictions of current NLP technology. Four Problems with Current NLP
Solutions.
1.1.The matter of Too Many Intents
The issue of intent limitations and the way many a single bot can handle well is usually overlooked when a corporation
architects their bot solution. Before continuing, here are some definitions to differentiate between intents and utterances.
Intent: An intent is that the user’s intention. for instance, if a user types “how much does the car cost?”, the user’s intent is to
urge pricing information on the car. Intents are given a reputation, like “GivePrice”. Utterance: An utterance is what the user says
or types. for instance, for the above intent, there are alternative ways of posing for an equivalent information e.g., a user may type
or say “show me pricing for the car”, “what does the car cost?”, “how much is that the car?”. the whole sentence is that the
utterance.A single intent generally has many utterances. In some business intents the number of utterances is often high,
representing the various alternative ways that different users request an equivalent information.For those beginning with a
primary bot, the quantity of intents and utterances often doesn’t even arise as a problem as it’s hard to even generate an outsized
number of utterances for every intent. But as intents and utterances get added over time, issues can begin to emerge.So what
percentage intents are you able to put into one chatbot?Although there's no hard and fast number and it can depend upon the NLP
engine and therefore the use case, as one bot handles up to and beyond 100s of intents it can compared to the limit that existing
NLP solutions can support. Unfortunately, it’s impossible to define the precise breakpoint at which the bot performance starts to
say no. Different use cases require different sets of intents and utterances with some intents packing during a wide selection of
various utterances. Often you won’t know what's getting to happen once you add intents or utterances, until you begin to
ascertain the bot performance decline.
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1.2.The Use Case doesn’t fit in a Single Bot
With regards to the distinctive use cases that a business has for chatbots there are shifting levels of intricacy, both from a
conversational just as from a stream or excursion point of view. Frequently the business use case is more unpredictable than a
solitary bot arrangement can uphold. Furthermore, on the grounds that associations are getting more modern and are pushing out
an expanding number of AI bots, some are going to the acknowledgment that a solitary bot may not be adequate to address the
issues of a business use case. For instance, an organization may construct an advanced AI associate to deal with basic client
questions and turnthis out in an underlying stage. After some time, they may conclude that the client care bot ought to likewise
have the capacity for the client to execute, bring them through a multi-step venture, add greater character by means of casual
chitchat, or handle setting exchanging, or a blend of every one of these abilities. By adding extra ability, you can conceivably
disintegrate the limit that the bot needs to manage the genuine use case for example noting the basic questions. This we allude to
as "over-tuffing”.The idea of accommodating your utilization case into the bot likewise clarifies a wonder that a few
organizations are seeing, where the conversational experience decreases when they grow the usefulness. So suppose that an
organization chooses to add greater character to their client support bot by including some casual banter and that their casual
conversation model has somewhere close to 20 and 30 aims. On the off chance that the quantity of administration expectations is
now near the restriction of the NLP, the presentation of the additional 20-30 eats into the aims identified with the first use case.
The experience begins to drop off.This has suggestions for how you designer your bot answer for meet the necessities of your
utilization case. Will a solitary bot be adequate? If not, how might you designer numerous bots so they can be facilitated and
cooperate to satisfy the need?
1.3. Increasing the Accuracy of your AI Bot
Another manner by which a bot can be affected is the point at which the precision level should be raised. This may mean
adding more variations of the purposes for example the more prominent the precision around certain bot abilities, the less limit
there might be for other component capacities.Suppose your utilization case requires some crucial errands or you are attempting
to maintain a strategic distance from bogus encouraging points in the bot's reactions. Exactness will at that point be a significant
thought where you may need to compromise the quantity of expectations for the nature of reactions. Since language is liquid and
has numerous subtleties, focusing on precision can burn-through extensive bot limit.
1.4. The Issue of Bot Maintenance
A conversational bot is definitely not a one-and-done project nor would it be able to be left to its own gadgets. Bots
should be kept up as client connections with it develop, at last creating extra expressions that may not be perceived by the bot,
i.e., alleged missed expressions that the bot needs to figure out how to deal with. Language is exceptionally liquid with jargon
developing constantly. With regards to discussions, the requirement for assessing and invigorating is significantly more basic
contrasted and other advanced substance resources. Your advanced partner needs to keep up and to do this implies taking care of
the bot more expressions and plans, growing its abilities, and revising mistakes. This requires a ton of design and whenever
stories are composed it's difficult to look after them.Client requests additionally move, as work together needs. A bot addresses
your organization and if not observed and oversaw it can get flat and convey a helpless encounter, possibly harming your image
picture. Building a conversational AI arrangement isn't care for building an application. At any stage, a chatbot is tuned for a
specific measure of information. Any progressions can possibly disturb the entire model. This a constant, continuous, and
laborious assignment.
II. RELATED WORKS
2.1Chatbots
A conversational interface is an interface that the client can cooperate with by methods for a discussion. This can be
through discourse, yet in addition by means of composed regular language. The terms Natural User Interface (NUI) and
Conversational Interfaces are here and there utilized reciprocally. A NUI is an interface where you connect by utilizing regular
sources of info like: discourse, contact and hand motions (Wigdor and Wixon, 2011). Here and there, NUIs can perceive faces,
their current circumstance or feelings (Kaushik, Jain, et al., 2014). A chatbot is an illustration of a conversational interface. At the
point when we talk about chatbots, or conversational specialists, we mean a PC program that is composed to reproduce a
discussion with the client by methods for hear-able or text-based data sources. In this investigation, we center exclusively around
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chatbots that utilization text-based sources of info. Chatbots are utilized on the web and are some of the time driven by man-
made consciousness.
2.1.1 Implementations of chatbots
Chatbots can be utilized for a wide scope of fields, for example, training (Letzter, 2016), data recovery (Shawar, Atwell,
and Roberts, 2005), business and web-based business (Chai et al., 2001), and for client care (MarutiTechlabs, 2017). In their
examination, Tatai et al. (2003) thought about implementa2 tions of chatbots and distinguished three principal parts of chatbots,
to be specific: • Role of a Digital Assistant; • Role of an Information Provider; • Role of a General Chatbot. (Tatai, Csord'as,
Kiss, Szal'o, and Laufer, 2003) Examples of advanced collaborator chatbots are from IKEA, which was dispatched in 2005 1 and
Niki.ai which causes you shop through talk (Niki, 2017). Chatbots can be utilized to improve the correspondence between
specialist tolerant (DP) and facility persistent (CP). The scientists guarantee that utilizing chatbots for this reason (DP and CP
correspondence) could diminish expenses and time on routine tasks (Abashev, Grigoryev, Grigorian, and Boyko, 2016). More
usage of chatbots is: financial assessment mentor, legal counselor, individual beautician, food orderer, individual attendant,
specialist, benefits or money guide, instructor, newsreader, toy, bookkeeper, and in conclusion, as an accomplice (Jee, 2017).
2.1.2 Chatbots in The India
In The India, companies are also starting to use chatbots for example on their Facebook pages or company
websites.Gaddi Bot (Car DekhoGaadi Store),iPALchatbot(ICICI Bank),KARL chatbot(JEEP India),TIA chatbot(TATA
Capital),Travel Planner chatbot(Travel Triangle).
Another example of an implementation of chatbots is Dawnbot. Dawnbot is a Dutch chatbot that helps you create a video
advertisement (Dawnbot, 2017). The user answers the questions dawnbot asks by selecting the corresponding emoji. A possible
advantage of communicating with emoji could be that the interaction can be quicker, and more efficient. On the other hand,
miscommunications can occur between the user and the maker of the system, since emoji’s can be interpreted differently (Miller
et al., 2016).
2.1.3 Customer Service
Finance & Insurance ChatbotsChatbots can be found in different domains such as: customer service, e-commerce,
insurance, healthcare, retail and more. 95% of the respondents of a chatbot survey believed that the customer service domain is
going to be ’the major beneficiary of chatbots’ (Mindbowser, 2017). We choose this field to illustrate the financial and insurance
field specifically. In the field of insurance, we also see a rise of chatbots. Lemonade is an insurance company from the US.
Lemonade claims that they transform the business model of insurance by:” injecting technology and transparency into and
industry that often lacks both”. They say that they provide a fast, affordable and hassle-free insurance experience (Lemonade,
2017). The expert virtual insurance agent Evia was released last year (2016). Evia is created by Insurify, a spinoff company from
MIT (Buhr, 2016). Evia tries to find you a car insurance by using a photo of your license plate.
2.1.4 Conversational aspects
Human-framework exchange comprises of the inquirer (the client), searching for data, and the master (framework),
giving data. There are two different ways that chatbots can banter with clients. Framework started chatbots, where the framework
drives the discussion, and client started chatbots, where the client drives the discussion. Frameworks that contain the two
strategies for commencement, are called blended activity frameworks (Hung, Elvir, Gonzalez, and DeMara, 2009). To see how a
conversational interface ought to be addressed, it is essential to explore how human discoursed work. Quarteroni, et al. (2006)
investigated the perspectives and issues identified with human discoursed and they proposed a rundown of fundamental thing for
an intelligent inquiry and noting framework:
• Context Maintenance: using the setting of the discussion to effectively decipher the client's information. This is
significant for follow-up inquiries, or for explanation.
• Utterance Understanding: the discovery of follow-up and explanation inside the setting of the past discussion. • Mixed
Initiative: the client ought to have the option to step up to the plate inside the discussion (by stopping, or posing
inquiries).
• Follow-up Proposal: implying that the framework propels the client to offer input on the responses that the framework
gives (if the client is fulfilled or not). Until the client has accomplished their objective.
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• Natural Interaction: covering and producing an assortment of expressions to make a smooth discussion and to keep the
exchange dynamic. (Quarteroni and Manandhar, 2009) McTear (2016) checked on key highlights of discussion in part 3
of his book on conversational interfaces. He depicts that the accompanying angles are significant when planning
conversational interfaces:
• Conversation as activity: implying that expressions of clients could be viewed as activities that speakers do to
accomplish an objective. • The design of discussion: with respect to how expressions from a discussion identify with
one another. Instances of approaches to perceive structure in exchange acts can incorporate contiguousness sets, trades,
talk portions and conversational games.
• Conversation as a joint movement: depicts how two gatherings alternate and diminish the danger of a
miscommunication by utilizing the establishing cycle in their discussion.
• Conversational fix: a fixing cycle that can be started by one of the two gatherings in the discussion. Now and then the
speaker fixes his own expressions before the collector has the opportunity to fix it.
The language of discussion: the manner of speaking in an expressed content can be an approach to pass on extra data, for
example, feelings and influence. For instance, when people speak more loudly when they are irate. For composed content,
feelings and influence can likewise be passed on, for instance by utilizing emojis or capital letters. (McTear, Callejas, and Griol,
2016) Incremental preparing is a significant cycle in human-to-human discussion (McTear et al., 2016). Steady handling implies
that cover happens inside a discussion. In human-machine association, an inertness between turns is available. This is one
motivation behind why human-PC connection can once in a while feel less normal than human to human communication.
Another advantage of gradual handling is that the discourse turns out to be more familiar and effective (McTear et al., 2016).
Google search applies steady handling by finishing the client's inquiry during composing and in Voice Search by indicating the
perceived words while the client is as yet talking.
2.1.5 Dialogue Management Strategy
McTear (2016) depicts that one of the center parts of conversational interfaces is the plan of the discourse the board
technique, wherein the framework's conversational conduct is characterized. The plan of exchange the board system was done
physically before, however the examination local area has discovered approaches to robotize this cycle via preparing the model
with genuine discussions (McTear et al., 2016). Two emerging plan methodologies of discoursed in chatbots are the connection
methodology and the decision of an affirmation technique (McTear et al., 2016). Programmed discourse acknowledgment isn't
generally exact, yet by asking the client for affirmation or re-prompt them, a few mistakes could be evaded. An excessive number
of affirmations asking can likewise be irritating. There are three sorts of communication methodologies in chatbots, to be
specific: client started, framework started or blended activity. Limits of client started exchanges are mistakes in discourse
acknowledgment and comprehension, since clients can say anything they need.
2.1.6 Maturity Model
ChatbotsSmiers (2017) describes some levels of maturity of chatbots based on three categories, namely: interaction,
intelligence and integration. The interaction area describes that the user experience of chatbots is different than the user
experience of websites, since the interaction with chatbots is done through textual input. The intelligence area describes the
capability of the chatbot to understand and provide a relevant utterance which is in line with the intent of the user. The integration
area is about the back-end of the chatbot and how well it is integrated with other websites, servers or services from other websites
and applications (Smiers, 2017).
2.2 User Experience
ChatbotsSmiers (2017) depicts a few degrees of development of chatbots dependent on three classes, in particular:
association, insight and incorporation (see Fig 1). The collaboration zone portrays that the client experience of chatbots is not the
same as the client experience of sites, since the cooperation with chatbots is done through text-based info. The knowledge
territory depicts the ability of the chatbot to comprehend and give an applicable expression which is in accordance with the
purpose of the client. The combination territory is about the back-finish of the chatbot and how well it is coordinated with
different sites, workers or administrations from different sites and applications (Smiers, 2017).
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2.2.1 Usefulness
The Technology Acceptance Model (TAM), is created to test the client acknowledgment of data frameworks. Inquiries
of the normalized TAM survey measure the apparent convenience and the apparent usability of data frameworks (Davis, 1985).
The 10 things that measure convenience are:
Utilizing this item improves the nature of the work I do. 2. Utilizing this item gives me more noteworthy command over my
work. 3. This item empowers me to achieve errands all the more rapidly. 4. This item bolsters basic viewpoints. 5. This item
builds my efficiency. 6. This item improves my work execution. 7. This item permits me to achieve more work than would
somehow be conceivable. 8. This item upgrades my adequacy at work.
III. WAYS TO IMPROVE CHATBOTS AND BOOST CUSTOMER SATISFACTION
3.1 Put an Escalation Path in Place
Where chatbots add most an incentive for organizations is in addressing routine inquiries rapidly. In the event that the
scrutinizing turns out to be more unpredictable, the business needs to have an alternative to raise the collaboration to a human
guide. That counselor ought to have the option to get the string of what has gone previously and, where fundamental, change the
call from a talk window to a voice connection. This acceleration way is basically significant since, in such a case that the client is
left inclination their question has been deficiently taken care of, they may quit working with the brand. It's likewise significant
that organizations set up adequate assets to deal with any accelerations, guarantee clients' holding up occasions are kept to a base
and that proper help level arrangements are executed and consistently met.
3.2 Keep Feeding Chatbots With New Information
While chatbots do satisfy an important job inside many contact places, organizations need to understand that executing
and afterward working them can be a significant responsibility. As opposed to prevalent thinking, chatbots are not modest to run,
they can be tedious to keep up and they should be taken care of persistently with constant pertinent data to keep awake to date.
On the off chance that an association disregards its chatbots, neglects to furnish them with adequate information, instruct them or
give them what they need to realize and develop, those chatbots will get repetitive, similarly that a site that has not been refreshed
will. Along these lines, the exercise for organizations is clear: keep your chatbots took care of consistently.
3.3 Make Chatbots More Empathetic
Chatbots are usually efficient and a tremendous help in a variety of cases. But, as with any other automated systems,
customers engaging with a chatbot can sometimes feel a lack of empathy or find it a struggle to express their emotions during
conversations. As Genesys recommend, contact centers should aim to make chatbots much more empathetic. They need the
ability to capture customer sentiment throughout the conversations, without explicitly asking (implicit measure)
ability to adapt the conversation flow and the responses to sentiments
ability to explicitly ask at the end of the conversation how the customer feels (explicit measure)
ability to compare implicit and explicit measures to improve sentiment capture over time.
3.4 Use Them to Collect Information in the Initial Part of Conversations
The key to improving CSat of chatbots is realizing when and how to execute them. On the off chance that the contact
community has as of now effectively actualized self-administration, and improved CSat thusly, at that point it very well may be
the ideal opportunity to add bots to the blend. Start with existing live talk contributions, or online media informing applications –
like Facebook Messenger, and afterward present bots. Whenever bots have been presented, use them to computerize the
monotonous undertakings of gathering data toward the beginning of any exchange and, at last, guiding the guest to another self-
administration choice or a live counselor.
3.5 Use Natural Language Processing (NLP) to Make Chatbots Seem Friendlier
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Make your chatbot more amicable without being meddlesome. It is essential to broadcast a fitting vibe for your crowd.
Through Natural Language Processing (NLP), the framework figures out how to perceive genuine language. This commitment
with language permits the product to use information to furnish clients with customized data. Likewise, the product can dissect
the client's tone, permitting the chatbot to associate and connect conversationally. Much of the time, clients have felt that they are
getting correspondence from a genuine individual, as opposed to mechanical programming. With this more everyday tone, the
product will expand the brand into an intelligent encounter for purchasers. The twofold advantage of this for the organization is
that records of discussions can be effortlessly overseen and investigated. Giving further client bits of knowledge, the product
permits the organization to comprehend what kind of clients are visiting their site, what they are searching for and repeating
issues that need settling.
3.6 Use Interaction Analytics to Make Chatbots More Conversational
Make your chatbot more amiable without being meddling. It is essential to send out a proper vibe for your crowd.
Through Natural Language Processing (NLP), the framework figures out how to perceive genuine language. This commitment
with language permits the product to use information to give clients customized data. Likewise, the product can examine the
client's tone, permitting the chatbot to cooperate and connect conversationally. By and large, clients have felt that they are
accepting correspondence from a genuine individual, instead of mechanical programming. With this more casual tone, the
product will expand the brand into an intuitive encounter for buyers. The twofold advantage of this for the organization is that
records of discussions can be handily overseen and examined. Giving further client experiences, the product permits the
organization to comprehend what sort of clients are visiting their site, what they are searching for and repeating issues that need
settling.
3.7 Leverage Data
With Gartner foreseeing that by far most of client associations will be fueled by chatbots in 2020, it is a higher priority
than at any other time for associations to venture up their game regarding gaining from client collaborations. Present day
advances, for example, AI and neural organizations can help utilize the information, gain from it and use it to educate how a
chatbot ought to respond to new cooperation types. Utilizing innovations like this will lessen the remaining task at hand for
consultants, leaving them an opportunity to commit consideration regarding more perplexing, nuanced and human issues.
Chatbots like Zendesk's Answer-bot offer a high-level information base arrangement that uses NLP to shrewdly present pertinent
issue goals to clients' most regular questions.
3.8 Understand Their Limitations
While bots can be "prepared" in sympathy and amicability, clients will consistently value the human touch when
managing more perplexing inquiries, where compassion and comprehension can have a significant effect. While chatbots are
very much positioned to manage the most widely recognized issues, similar to bundle following and data demands, there are
issues that actually need the human touch, as bespoke item counsel. We see chatbots working best when they're working
inseparably with counsels. Managing immense amounts of low-unpredictability issues is the place where chatbots sparkle,
especially when they're enabled to consistently hand off cases to a consultant when required. Take the Christmas shopping
season, for instance – Black Friday, Cyber Monday, Christmas – when retailers are at their busiest
ACKNOWLEDGEMENTS
First of all, I want to thank Prof. PradnyaMhatre from VIVA School of MCA, University of Mumbai for this
opportunity and the patience, advice and help they have given me. Secondly, I want to thank my family and friends for
supporting me throughout the process of conducting this study.
IV. CONCLUSIONS
The fame of utilizing chatbot's is expanding, anyway while applying another innovation like chatbots, it is essential to do this
successfully. An approach to gauge effectivity, is to examine the client experience. Hence, we explored the impact of
personalisation on the client experience of chatbots. The examination question of this investigation is "What is the additional
estimation of personalisation for the User Experience of chatbots?". The relating theories are:
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ISSN(Online): 2581-7280
VIVA Institute of Technology
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National Conference on Role of Engineers in Nation Building – 2021 (NCRENB-2021)
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H10: Personalisation has no effect on the User Experience of chatbots.
H11: Personalisation has a positive effect on the User Experience of chatbots.
H20: The User Experience is the same for simple and complex tasks.
H21: The User Experience is different for simple and complex tasks.
Hinteraction: Personalisation and Tasks have an interaction effect.
In the wake of directing a two-way ANOVA test, no huge principle impact was found between the two chatbots as for
personalisation. Along these lines, we acknowledged our H10 and dismissed our H11. This implies that personalisation has no
critical impact on the client experience of chatbots.There was a critical fundamental impact between the various errands
regarding the client experience. This implies that the client experience score for the primary undertaking (impeding bankcard)
was evaluated altogether higher than the subsequent assignment (monetary counsel). Consequently, we acknowledged the H21
and we dismissed the H20. At the point when we researched the impact of undertaking on the builds of client experience
(convenience, ease of use, fulfillment), we found that the greatest impact of assignment was by Usefulness, at that point
Satisfaction and afterward Usability.No critical communication impact was discovered (Task * Personalisation) regarding the
client experience of chatbots. Accordingly, we need to dismiss our Hinteraction. Furthermore, we can reason that our fulfillment
build was profoundly solid.We can reason that a straightforward assignment with an unmistakable objective (issue based) gets an
essentially higher client experience score than a more perplexing undertaking with a more dubious result (opportunity-situated) in
a chatbot. Ultimately, we can presume that we made a brief, yet solid, poll to gauge the client experience of chatbots.
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