Case study—Embodied virtual agents: An analysis on reasons for failure
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A study in partial support reported that too many anthropomorphic characteristics in a chatbot avatar set up high expectations, leading to user disappointment, supporting the idea that high expectations of functionality can lead to disappointment and frustration.
“A study that appears to be in partial support of the findings of this study reported that too many anthropomorphic characteristics in a chatbot avatar set up high expectations, leading to user disappointment [61], thus supporting the idea that high expectations of functionality can lead to feelings of disappointment and frustration for participants.”
From A Cognitive Behavioral Therapy Chatbot (Otis) for Health Anxiety Management: Mixed Methods Pilot Study (2022) · cites this paper as [61]
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- Authors
- Ben Mimoun, M. S., Poncin, I., & Garnier, M.
- Affiliations
- SKEMA Business School (FR)
- Venue
- Journal of Retailing and Consumer Services
- Publisher
- Elsevier BV
- Published
- 2012-11
- Volume
- 19
- Issue
- 6
- Pages
- 605-612
- ISSN
- 0969-6989 (ISSN-L)
- OpenAlex
- W2029180844
- Cited by
- 136
- References
- 64
- Citations by year
- 2026: 2 · 2025: 11 · 2024: 8 · 2023: 19 · 2022: 12 · 2021: 21 · 2020: 13 · 2019: 17 · 2018: 8 · 2017: 3 · 2016: 9 · 2015: 6 · 2014: 1 · 2013: 6
- FWCI
- 4.09
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Retailing and Consumer Services (publishedVersion)
- Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
- Keywords
- embodied virtual agents, commercial websites, lack of autonomy, customer expectations, agent performance, e-commerce
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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