Brains or Beauty: How to Engender Trust in User-Agent Interactions
Abstract
Software-based agents are becoming increasingly ubiquitous and automated. However, current technology and algorithms are still fallible, which considerably affects users’ trust and interaction with such agents. In this article, we investigate two factors that can engender user trust in agents: reliability and attractiveness of agents. We show that agent reliability is not more important than agent attractiveness. Subjective user ratings of agent trust and perceived accuracy suggest that attractiveness may be even more important than reliability.
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The attractiveness of physical appearance and voice of agents influences trust in user-agent interaction.
“The attractiveness of physical appearance and voice of agents was also shown to influence trust in user-agent interaction [183].”
From A Taxonomy of Social Errors in Human-Robot Interaction (2021) · cites this paper as [183]
Such behavioral measures include decision time, number of recommendation requests, and number of agreements with AI recommendations.
“Such measures include, but are not limited to measuring end-users' decision time [19,62], how many times end-users requested AI recommendation [52], and how many times they agreed with AI recommendations [7,23,58].”
From Being Trustworthy is Not Enough: How Untrustworthy Artificial Intelligence (AI) Can Deceive the End-Users and Gain Their Trust (2023) · cites this paper as [62]
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The interplay between emotion and trust in technology
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Sensitivity to Risk Profiles of Users When Developing AI Systems
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Digital Partnerships: Understanding Delegation and Interaction With Virtual Agents
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- Authors
- Yuksel, B. F., Collisson, P., & Czerwinski, M.
- Affiliations
- Tufts University (US)
- Microsoft (United States) (US)
- ORCID
- Czerwinski, Mary
- Venue
- ACM Transactions on Internet Technology
- Published
- 2017-01-04
- Volume
- 17
- Issue
- 1
- Pages
- 1-20
- ISSN
- 1533-5399 (ISSN-L)
- 1557-6051
- OpenAlex
- W2570668993
- Cited by
- 63
- References
- 69
- Citations by year
- 2026: 4 · 2025: 7 · 2024: 4 · 2023: 5 · 2022: 10 · 2021: 13 · 2020: 8 · 2019: 6 · 2018: 5 · 2017: 1
- FWCI
- 7.83
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- ACM Transactions on Internet Technology (publishedVersion)
- Funders
- University of Kent
- Topics
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
- Keywords
- software agents, user trust, agent reliability, perceived accuracy, human-agent interaction, trust in automation
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