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Impacts of Personal Characteristics on User Trust in Conversational Recommender Systems

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Li ChenAuthors Info & Claims

CHI '22: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems

Article No.: 489, Pages 1 - 14

https://doi.org/10.1145/3491102.3517471

Published: 29 April 2022 Publication History

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Abstract

Conversational recommender systems (CRSs) imitate human advisors to assist users in finding items through conversations and have recently gained increasing attention in domains such as media and e-commerce. Like in human communication, building trust in human-agent communication is essential given its significant influence on user behavior. However, inspiring user trust in CRSs with a “one-size-fits-all” design is difficult, as individual users may have their own expectations for conversational interactions (e.g., who, user or system, takes the initiative), which are potentially related to their personal characteristics. In this study, we investigated the impacts of three personal characteristics, namely personality traits, trust propensity, and domain knowledge, on user trust in two types of text-based CRSs, i.e., user-initiative and mixed-initiative. Our between-subjects user study (N=148) revealed that users’ trust propensity and domain knowledge positively influenced their trust in CRSs, and that users with high conscientiousness tended to trust the mixed-initiative system.

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Cited By

Li YDeng XHu XLiu J(2024)The Effects of E-Commerce Recommendation System Transparency on Consumer Trust: Exploring Parallel Multiple Mediators and a ModeratorJournal of Theoretical and Applied Electronic Commerce Research10.3390/jtaer1904012619:4(2630-2649)Online publication date: 1-Oct-2024
https://doi.org/10.3390/jtaer19040126
Zhang XChao CChiu YChen H(2024)Study of the Correlation between Streaming Video Platform Content on Food Production Processes and the Behavioral Intentions of Generation ZFoods10.3390/foods1310153713:10(1537)Online publication date: 15-May-2024
https://doi.org/10.3390/foods13101537
He QWang JHe D(2024)The Influence of Task and Group Disparities Over Users’ Attitudes Toward Using Large Language Models for PsychotherapyProceedings of the Human Factors and Ergonomics Society Annual Meeting10.1177/10711813241268507Online publication date: 11-Oct-2024
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Index Terms

Impacts of Personal Characteristics on User Trust in Conversational Recommender Systems
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Empirical studies in HCI
    2. HCI design and evaluation methods
      1. User models
      2. User studies
  2. Interaction design
    1. Empirical studies in interaction design
    2. Interaction design process and methods
      1. User interface design
2. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Recommender systems

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cover image ACM Conferences

CHI '22: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems

April 2022

10459 pages

ISBN:9781450391573

DOI:10.1145/3491102

Editors:
Simone Barbosa
PUC-Rio, Brazil
,
Cliff Lampe
University of Michigan, USA
,
Caroline Appert
Université Paris-Saclay, France
,
David A. Shamma
Toyota Research Institute, USA
,
Steven Drucker
Microsoft Research, USA
,
Julie Williamson
University of Glasgow, UK
,
Koji Yatani
University of Tokyo, Japan

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Published: 29 April 2022

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Cited By

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https://doi.org/10.3390/jtaer19040126
Zhang XChao CChiu YChen H(2024)Study of the Correlation between Streaming Video Platform Content on Food Production Processes and the Behavioral Intentions of Generation ZFoods10.3390/foods1310153713:10(1537)Online publication date: 15-May-2024
https://doi.org/10.3390/foods13101537
He QWang JHe D(2024)The Influence of Task and Group Disparities Over Users’ Attitudes Toward Using Large Language Models for PsychotherapyProceedings of the Human Factors and Ergonomics Society Annual Meeting10.1177/10711813241268507Online publication date: 11-Oct-2024
https://doi.org/10.1177/10711813241268507
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Nimmo RConstantinides MZhou KQuercia DStumpf S(2024)User Characteristics in Explainable AI: The Rabbit Hole of Personalization?Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642352(1-13)Online publication date: 11-May-2024
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Chung HYang X(2024)Associations between Trust Dynamics and Personal Characteristics2024 IEEE 4th International Conference on Human-Machine Systems (ICHMS)10.1109/ICHMS59971.2024.10555583(1-6)Online publication date: 15-May-2024
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