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Synchronized Multi-list User Interfaces for Fashion Catalogs

Published: 16 June 2023 Publication History
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  • Abstract

    Several online catalogs use carousels to present thematic lists of products, based on different optimization criteria. While this makes it possible to search for items according to diverse relevance perspectives, it hardly supports an integrated evaluation, which is key to critical consuming behavior. To address this issue, we propose a synchronized multi-list model that (i) enriches item presentation by visualizing its evaluation and (ii) enables the user to simultaneously center the carousels of the multi-list on the item in her/his focus of attention, showing its ranking in each list. This type of visualization is aimed at enhancing the transparency of results by enabling the user to simultaneously compare products across all the evaluation criteria applied within the multi-list.
    As a testbed for our model, we selected fashion catalogs, with the aim of making users aware of clothes’ evaluation with respect to the sustainability and ethical issues concerning the production practices applied by their brands. In a preliminary user study, we analyzed users’ gaze behavior to reveal how people interact with the carousels of the multi-list for product comparison. The results show that people explored the position of items in all the carousels, following a pattern that differs from the top-left triangle observed in traditional multi-lists, and they selected items having a fairly good ranking, showing their interest in sustainability and ethical standards.

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    Cited By

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    • (2024)Promoting Green Fashion Consumption in Recommender SystemsAdjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization10.1145/3631700.3664922(50-54)Online publication date: 27-Jun-2024
    • (2024)Promoting Green Fashion Consumption Through Digital Nudges in Recommender SystemsIEEE Access10.1109/ACCESS.2024.334971012(6812-6829)Online publication date: 2024
    • (2023)Enriching Recommender Systems Results with Data about Sustainability and Ethical Standards of Brands2023 IEEE International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)10.1109/WI-IAT59888.2023.00037(238-242)Online publication date: 26-Oct-2023

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    cover image ACM Conferences
    UMAP '23 Adjunct: Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization
    June 2023
    446 pages
    ISBN:9781450398916
    DOI:10.1145/3563359
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Publication History

    Published: 16 June 2023

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    Author Tags

    1. Environmental Sustainability
    2. Ethics
    3. Recommender Systems
    4. Transparent User Interfaces

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    View all
    • (2024)Promoting Green Fashion Consumption in Recommender SystemsAdjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization10.1145/3631700.3664922(50-54)Online publication date: 27-Jun-2024
    • (2024)Promoting Green Fashion Consumption Through Digital Nudges in Recommender SystemsIEEE Access10.1109/ACCESS.2024.334971012(6812-6829)Online publication date: 2024
    • (2023)Enriching Recommender Systems Results with Data about Sustainability and Ethical Standards of Brands2023 IEEE International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)10.1109/WI-IAT59888.2023.00037(238-242)Online publication date: 26-Oct-2023

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