The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Do We Trust in AI? Role of Anthropomorphism and Intelligence
Abstract
AI applications are radically transforming the manner in which service providers and consumers interact. We explore how the humanness of AI applications affects consumers’ trust in these applications. Qualitative evidence collected with focus groups provides fresh insights into the roles of anthropomorphism and intelligence, as key constructs representing humanness. Our findings reveal the consumers’ perspective on the nuances of these constructs pertaining to services enabled by AI applications. It also extends current understanding of the phenomenon of the “uncanny valley,” by identifying conditions under which consumers experience discomfort and uneasiness as AI humanness increases in service environments.
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The emphasis on conceptual contributions by agent-like metaphor participants may be due to agents being conceptualized as capable of providing higher-order suggestions and conversing about the text conceptually with human-like nuance.
“This may have been due to agents not only being conceptualized as capable of providing suggestions or editing the text, but also receiving higher-order suggestions and conversing about the text conceptually with human-like nuance [60].”
From Where Do I 'Add the Egg'?: Exploring Agency and Ownership in AI Creative Co-Writing Systems (2026) · cites this paper as [60]
Citations
Cites
LeCun, Y., Bengio, Y., & Hinton, G. (2015) · Nature · doi:10.1038/nature14539 · Cited by 84,126
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
The commitment-trust theory of relationship marketing
Morgan, R. M., & Hunt, S. D. (1994) · Journal of Marketing · doi:10.1177/002224299405800302 · Cited by 22,355
Mastering the game of Go without human knowledge
Silver, D., Schrittwieser, J., Simonyan, K., Antonoglou, I., Huang, A., Guez, A., Hubert, T., Baker, L., Lai, M., Bolton, A., et al. (2017) · Nature · doi:10.1038/nature24270 · Cited by 9,084
Trust and TAM in Online Shopping: An Integrated Model1
Gefen, D., Karahanna, E., & Straub, D. W. (2003) · MIS Quarterly · doi:10.2307/30036519 · Cited by 8,635
On seeing human: A three-factor theory of anthropomorphism
Epley, N., Waytz, A., & Cacioppo, J. T. (2007) · Psychological Review · doi:10.1037/0033-295x.114.4.864 · Cited by 4,069 · cited 1×
“40,41,58 Human users tend to anthropomorphize and create social expectations of AI applications, although they know that these applications are not human.”
BackgroundMachines and Mindlessness: Social Responses to Computers
Nass, C., & Moon, Y. (2000) · Journal of Social Issues · doi:10.1111/0022-4537.00153 · Cited by 4,022 · cited 1×
“59 Prior research suggests that a consumer that interacts with an anthropomorphic AI application can develop perceptions of a social presence that increases trust in the application.”
BackgroundArtificial intelligence in service
Huang, M.-H., & Rust, R. T. (2018) · Journal of Service Research · doi:10.1177/1094670517752459 · Cited by 3,978
Rempel, J. K., Holmes, J. G., & Zanna, M. P. (1985) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.49.1.95 · Cited by 3,146 · cited 1×
“54,55 That is, competence and predictability influence cognitive trust whilst benevolence and integrity drive affective trust.”
BackgroundKaplan, A., & Haenlein, M. (2019) · Business Horizons · doi:10.1016/j.bushor.2018.08.004 · Cited by 3,140
Duan, Y., Edwards, J. S., & Dwivedi, Y. K. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.01.021 · Cited by 2,628
Engaged to a Robot? The Role of AI in Service
Huang, M.-H., & Rust, R. T. (2021) · Journal of Service Research · doi:10.1177/1094670520902266 · Cited by 1,185
Qiu, L., & Benbasat, I. (2009) · Journal of Management Information Systems · doi:10.2753/mis0742-1222250405 · Cited by 737
Making sense by making sentient: Effectance motivation increases anthropomorphism.
Waytz, A., Morewedge, C. K., Epley, N., Monteleone, G., Gao, J.-H., & Cacioppo, J. T. (2010) · Journal of Personality and Social Psychology · doi:10.1037/a0020240 · Cited by 587
Flagged first, then by citations
Research works printed but not linked: 64
- 10.1007/s11747-019-00696-0 · DOI · Paper page
- Anthes G, 2017, Communications of the ACM, 60, 19, 10.1145/3088342 · DOI
- West A, 2018, The Business & Management Review, 9, 321
- 10.1016/j.annals.2018.06.002 · DOI
- Schniter E, 2020, Journal of Economic Psychology, 78, 10.1016/j.joep.2020.102253 · DOI
- 10.1108/JSM-01-2019-0047 · DOI
- 10.1002/aris.1440370103 · DOI
- Wirtz J, 2018, Journal of Service Management, 29, 776, 10.1108/JOSM-04-2018-0119 · DOI · Paper page
- Paluch S, 2020, Journal of Service Management Research, 4, 3, 10.15358/2511-8676-2020-1-3 · DOI
- Van Doorn J, 2017, Roboto: Emergence of Automated Social Presence in Organizational Frontlines and Customers’ Service Experiences. Journal of Service Research., 20, 43
- 10.1016/j.ijinfomgt.2019.03.008 · DOI · Paper page
- Ewers K, 2020, Journal of Service Management Research, 4, 52, 10.15358/2511-8676-2020-1-52 · DOI
- Meyer-Waarden L, 2020, Journal of Service Management Research, 4, 35, 10.15358/2511-8676-2020-1-35 · DOI
- 10.2307/30036540 · DOI · Paper page
- Siau K, 2018, Cutter Business Technology Journal, 31, 47
- Díaz M, 2011, In: Face and Gesture, 2011, 927
- Methodology DK, 2007, International Journal of Advanced Robotic Systems, 4, 15, 10.5772/5702 · DOI
- 10.1518/hfes.46.1.50.30392 · DOI · Paper page
- 10.1111/j.1467-6494.1967.tb01454.x · DOI · Paper page
- Bandura A, 1977, Social Learning Theory
- 10.1509/jm.12.0166 · DOI · Paper page
- 10.1016/j.jesp.2014.01.005 · DOI · Paper page
- 10.1016/j.chb.2010.05.015 · DOI
- 10.1007/s12369-016-0380-9 · DOI
- 10.1016/j.chb.2008.12.026 · DOI · Paper page
- 10.1016/j.cognition.2015.09.008 · DOI · Paper page
- 10.1145/975817.975844 · DOI · Paper page
- 10.1108/10662240110402777 · DOI
- 10.2307/4132332 · DOI · Paper page
- 10.1108/09576050210447046 · DOI
- Ishowo-Oloko F, 2019, Nature Machine Intelligence, 1, 517, 10.1038/s42256-019-0113-5 · DOI · Paper page
- Reichheld FF, 2000, Harvard Business Review, 78, 105
- 10.1108/08858621011077727 · DOI
- 10.1007/s12369-008-0001-3 · DOI · Paper page
- Wachsmuth I. The concept of intelligence in AI. In: Cruse H, Dean J, Ritter H, editors. Prerational intelligence: adaptive behavior and intelligent systems without symbols and logic. Dordrecht, The Netherlands: Kluwer Academic Publishers; 2000. p. 43–55. · DOI
- Winston PH, 1992, Artificial Intelligence
- 10.1016/j.chb.2018.03.051 · DOI · Paper page
- Reinders MJ, 2008, Journal of Service Research, 11, 2, 10.1177/1094670508324297 · DOI
- 10.1080/08874417.2020.1756533 · DOI
- 10.1109/MCI.2010.938364 · DOI
- 10.1016/S0148-2963(03)00140-1 · DOI
- 10.1037/0022-3514.43.6.1306 · DOI
- 10.1002/mar.20358 · DOI
- 10.5465/amr.1995.9508080335 · DOI · Paper page
- Moussawi S, 2016, Investigating personal intelligent agents in everyday life through a behavioral lens
- Han S, Yang H. Understanding adoption of intelligent personal assistants: A parasocial relationship perspective. Industrial Management & Data Systems. 2018;118(3):618–636. doi:10.1108/IMDS-05-2017-0214. · DOI
- 10.1016/S0921-8890(02)00374-3 · DOI · Paper page
- 10.1007/978-3-319-32552-1 · DOI · Paper page
- 10.1007/s12369-013-0186-y · DOI
- Myers K, 2007, AI Magazine, 28, 47
- 10.1037/10518-189 · DOI
- Malhotra NK, 1996, Marketing Research: An Applied Orientation
- 10.4018/jebr.2013040102 · DOI
- Lindof TR, 2002, Qualitative Communication Research Methods
- Harding J, 2013, Qualitative Data Analysis from Start to Finish
- 10.1177/002224378201900101 · DOI
- 10.4135/9781412990028 · DOI
- 10.1108/13522750510603334 · DOI
- 10.4135/9781483349008.n1 · DOI
- 10.7146/qs.v2i1.4273 · DOI
- 10.4135/9781849209625 · DOI
- Miles MB, 1994, An Expanded Sourcebook: Qualitative Data Analysis
- Yin RK, 2003, Case Study Research: Design and Methods
- 10.1007/978-3-319-25973-4 · DOI
Cited by
Sorted by citations
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Kumar, V., Ashraf, A. R., & Nadeem, W. (2024) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2024.102783 · Cited by 509
Chatbots or me? Consumers’ switching between human agents and conversational agents
Li, C.-Y., & Zhang, J.-T. (2023) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2023.103264 · Cited by 128
Liu, W., Jiang, M., Li, W., & Mou, J. (2024) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2024.123407 · Cited by 98
Liew, T. W., Tan, S.-M., Yoo, N. E., Gan, C. L., & Lee, Y. Y. (2023) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2023.100323 · Cited by 33
The influence of mental state attributions on trust in large language models
Colombatto, C., Birch, J., & Fleming, S. M. (2025) · Communications Psychology · doi:10.1038/s44271-025-00262-1 · Cited by 34
AI-Powered Game Design: Experts Employing ChatGPT in the Game Design Process
LANKES, M., & STOCKL, A. (2023) · The Eurasia Proceedings of Science Technology Engineering and Mathematics · doi:10.55549/epstem.1406194 · Cited by 8
Emotional Coregulation in Close Relationships with AI Agents: A Survey of ChatGPT and Replika Users
Pruss, E., Alimardani, M., Struijs, S., & Koole, S. L. (2025) · Proceedings of the 13th International Conference on Human-Agent Interaction · doi:10.1145/3765766.3765801 · Cited by 4
“Heightened emotional engagement can lead to dependency or lowered autonomy, while excessive human-likeness may elicit discomfort via the uncanny valley effect [4, 58].”
Where Do I 'Add the Egg'?: Exploring Agency and Ownership in AI Creative Co-Writing Systems
Carrera, D., Thomas-Mitchell, J., & Wigdor, D. (2026) · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3791952 · Cited by 3
“This may have been due to the AI agents not only being conceptualized as capable of providing suggestions or editing the text, but also receiving higher-order suggestions and conversing about the text conceptually with human-like nuance [72].”
Where Do I 'Add the Egg'?: Exploring Agency and Ownership in AI Creative Co-Writing Systems
Carrera, D., Thomas-Mitchell, J., & Wigdor, D. (2025) · arXiv · doi:10.48550/arxiv.2509.15440
Metadata
- Authors
- Troshani, I., Rao Hill, S., Sherman, C., & Arthur, D.
- Affiliations
- The University of Adelaide (AU)
- University of Adelaide, Adelaide, Australia
- Zayed University (AE)
- Corresponding author
- Troshani, Indrit
- Venue
- Journal of Computer Information Systems
- Publisher
- Informa UK Limited
- Published
- 2020-08-10
- Volume
- 61
- Issue
- 5
- Pages
- 481-491
- ISSN
- 0887-4417 (ISSN-L)
- 2380-2057
- OpenAlex
- W3048870688
- Cited by
- 228
- References
- 14
- Citations by year
- 2026: 58 · 2025: 77 · 2024: 41 · 2023: 24 · 2022: 18 · 2021: 9 · 2020: 1
- FWCI
- 5.11
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Computer Information Systems (publishedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › AI in Service Interactions
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Social Sciences › Business, Management and Accounting › Marketing › Customer Service Quality and Loyalty
- Keywords
- consumer trust in AI, anthropomorphism, artificial intelligence, perceived intelligence, uncanny valley, human-AI interaction, service environment
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