Evaluating Trust in Recommender Systems: A User Study on the Impacts of Explanations, Agency Attribution, and Product Types-Reference-Cited by-同舟云学术

Evaluating Trust in Recommender Systems: A User Study on the Impacts of Explanations, Agency Attribution, and Product Types

Published:2024-02-14 Issue: Volume: Page:1-13
ISSN:1044-7318
Container-title:International Journal of Human–Computer Interaction
language:en
Short-container-title:International Journal of Human–Computer Interaction

Author:

Liu Weizi¹^ORCID,Wang Yanyun²^ORCID

Affiliation:

1. Informatics Institute, University of Illinois at Urbana-Champaign, Champaign, Illinois, USA

2. College of Media, Communication and Information, University of Colorado Boulder, Boulder, Colorado, USA

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10447318.2024.2313921

Reference62 articles.

1. Binns, R., Van Kleek, M., Veale, M., Lyngs, U., Zhao, J., & Shadbolt, N. (2018, April 21–26). ‘It’s reducing a human being to a percentage’: Perceptions of justice in algorithmic decisions [Paper presentation]. Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (pp. 1–14), Montreal, QC, Canada. https://doi.org/10.1145/3173574.3173951

2. The Locus of Choice: Personal Causality and Satisfaction with Hedonic and Utilitarian Decisions

3. A systematic review of algorithm aversion in augmented decision making

4. Linking precursors of interpersonal trust to human-automation trust: An expanded typology and exploratory experiment

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