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Preface published In: Multidisciplinary Perspectives on Human-AI Team Trust
Edited by Nicolo' Brandizzi, Morgan Elizabeth Bailey, Carolina Centeio Jorge, Myke C. Cohen, Francesco Frattolillo and Alan Richard Wagner
[Interaction Studies 26:2] 2025
► pp. 151163

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References (45)
References
Afroogh, S., Akbari, A., Malone, E., & Langarizadeh, M. (2024). Trust in AI: Progress, challenges, and future directions. Humanities and Social Sciences Communications, 11 (1), 1568. Google Scholar logo with link to Google Scholar
Bailey, M. E., Gancz, B., & Pollick, F. E. (2026). The effect of emojis and AI reliability on team performance and trust in human-AI teams. Interaction Studies, (Special Issue on Multidisciplinary Perspectives on Human-AI Team Trust), 26 (2). Google Scholar logo with link to Google Scholar
Carragher, D. J., Sturman, D., & Hancock, P. J. (2024). Trust in automation and the accuracy of humanalgorithm teams performing one-to-one face matching tasks. Cognitive Research: Principles and Implications, 9 (41).Google Scholar logo with link to Google Scholar
Coester, U., Anderle, L., & Pohlmann, N. (2026). Trustworthiness needs for the use of AI solutions in business: Ethical and empirical considerations. Interaction Studies, (Special Issue on Multidisciplinary Perspectives on Human-AI Team Trust), 26 (2). Google Scholar logo with link to Google Scholar
Cohen, M. C., Chiou, E. K., & Cooke, N. J. (2026). Trusting machine teammates: The role of personifying and objectifying language in team communication. Interaction Studies, (Special Issue on Multidisciplinary Perspectives on Human-AI Team Trust), 26 (2). Google Scholar logo with link to Google Scholar
Cohen, M. C., Kim, N., Ba, Y., Pan, A., Bhatti, S., Salehi, P., Sung, J., Blasch, E., Mancenido, M. V., & Chiou, E. K. (2025). PADTHAI-MM: Principles-based approach for designing trustworthy, human-centered AI using the MAST methodology. AI Magazine, 46(1), e70000. Google Scholar logo with link to Google Scholar
de Visser, E. J., Peeters, M. M. M., Jung, M. F., Kohn, S., Shaw, T. H., Pak, R., & Neerincx, M. A. (2020). Towards a Theory of Longitudinal Trust Calibration in Human-Robot Teams. International Journal of Social Robotics, 12 (2), 459–478. Google Scholar logo with link to Google Scholar
de Visser, E. J., Monfort, S. S., McKendrick, R., Smith, M. A., McKnight, P. E., Krueger, F., & Parasuraman, R. (2016). Almost human: Anthropomorphism increases trust resilience in cognitive agents. Journal of Experimental Psychology: Applied, 22 (3), 331–349.Google Scholar logo with link to Google Scholar
Duan, W., Zhou, S., Scalia, M. J., Freeman, G., Gorman, J., Tolston, M., McNeese, N. J., & Funke, G. (2025). Understanding the processes of trust and distrust contagion in human-ai teams: A qualitative approach. Computers in Human Behavior, 1651, 108560. Google Scholar logo with link to Google Scholar
European Commission. (2021). Coordinated plan on artificial intelligence 2021 review (tech. rep.) (Accessed: 2025-09-04). European Commission. [URL]
Georganta, E., & Ulfert, A.-S. (2024). Would you trust an ai team member? team trust in human-ai teams. Journal of Occupational and Organizational Psychology, 97 (3), 1212–1241. Google Scholar logo with link to Google Scholar
Glikson, E., & Woolley, A. W. (2020). Human trust in artificial intelligence: Review of empirical research. Academy of management annals, 14 (2), 627–660. Google Scholar logo with link to Google Scholar
High-Level Expert Group on Artificial Intelligence. (2019). Ethics guidelines for trustworthy ai (tech. rep.) (Accessed: 2025-09-04). European Commission. [URL]
Hoff, K. A., & Bashir, M. (2015). Trust in automation: Integrating empirical evidence on factors that influence trust. Human factors, 57 (3), 407–434. Google Scholar logo with link to Google Scholar
Jiang, L., Hwang, J. D., Bhagavatula, C., Bras, R. L., Forbes, M., Borchardt, J., Liang, J., Etzioni, O., Sap, M., & Choi, Y. (2021). Delphi: Towards machine ethics and norms. arXiv preprint arXiv:2110.07574.Google Scholar logo with link to Google Scholar
Jobin, A., Ienca, M., & Vayena, E. (2019). The global landscape of ai ethics guidelines. Nature machine intelligence, 1 (9), 389–399. Google Scholar logo with link to Google Scholar
Kucukosmanoglu, M., Johnson, C. J., Pollard, K., Chhan, D., Lakhmani, S. G., Forster, D., Conklin, S., Brooks, J., Crowell, H. P., & Krausman, A. (2026). Exploring trust in AI-supported military teams using sentiment analysis. Interaction Studies, (Special Issue on Multidisciplinary Perspectives on Human-AI Team Trust), 26 (2). Google Scholar logo with link to Google Scholar
Lee, J. D., & See, K. A. (2004). Trust in automation: Designing for appropriate reliance. Human factors, 46 (1), 50–80. Google Scholar logo with link to Google Scholar
Lu, G., Lu, J., Yao, S., & Yip, Y. J. (2009). A review on computational trust models for multi-agent systems. The open information science journal, 21, 18–25. Google Scholar logo with link to Google Scholar
Madhavan, P., & Wiegmann, D. A. (2007). Similarities and differences between human-human and human-automat trust: An integrative review [Publisher: Taylor & Francis _eprint: Theoretical Issues in Ergonomics Science, 8 (4), 277–301. Google Scholar logo with link to Google Scholar
Malle, B. F., & Ullman, D. (2021, January). Chapter 1 — A multidimensional conception and measure of humanrobot trust. In C. S. Nam & J. B. Lyons (Eds.), Trust in Human-Robot Interaction (pp. 3–25). Academic Press. Google Scholar logo with link to Google Scholar
Mayer, R. C., Davis, J. H., & Schoorman, F. D. (1995). An integrative model of organizational trust. Academy of management review, 20 (3), 709–734. Google Scholar logo with link to Google Scholar
McNeese, N. J., Demir, M., Chiou, E. K., & Cooke, N. J. (2021). Trust and Team Performance in Human-Autonomy Teaming [Publisher: Routledge _eprint:]. International Journal of Electronic Commerce, 25 (1), 51–72. Google Scholar logo with link to Google Scholar
Momen, A., Tossell, C. C., Walliser, J. C., Niemyer, R., Tolston, M., Funke, G. J., & de Visser, E. J. (2026). Perceived trustworthiness and moral competence of a GenAI-enabled ethical robot advisor. Interaction Studies, (Special Issue on Multidisciplinary Perspectives on Human-AI Team Trust), 26 (2). Google Scholar logo with link to Google Scholar
Musick, G., O’Neill, T. A., Schelble, B. G., McNeese, N. J., & Henke, J. B. (2021). What Happens When Humans Believe Their Teammate is an AI? An Investigation into Humans Teaming with Autonomy. Computers in Human Behavior, 1221, 106852. Google Scholar logo with link to Google Scholar
Naikar, N., Hoffman, R., Roth, E. M., Klein, G., Militello, L. G., & Dominguez, C. (2025). Should we Make AI More Tool-like or Teammate-Like? [Publisher: SAGE Publications]. Journal of Cognitive Engineering and Decision Making, 15553434251346904. Google Scholar logo with link to Google Scholar
Nguyen, D., Cohen, M. C., Kao, H.-T., Engberon, G., Penafiel, L., Lynch, S., & Volkova, S. (2026). Exploratory models of human-AI teams: Leveraging human digital twins to investigate trust development. Interaction Studies, (Special Issue on Multidisciplinary Perspectives on Human-AI Team Trust), 26 (2). Google Scholar logo with link to Google Scholar
Parasuraman, R., & Manzey, D. H. (2010). Complacency and Bias in Human Use of Automation: An Attentional Integration [Publisher: SAGE Publications Inc]. Human Factors, 52 (3), 381–410. Google Scholar logo with link to Google Scholar
Rahwan, I., Cebrian, M., Obradovich, N., Bongard, J., Bonnefon, J.-F., Breazeal, C., Crandall, J. W., Christakis, N. A., Couzin, I. D., Jackson, M. O., et al. (2019). Machine behaviour. Nature, 568 (7753), 477–486. Google Scholar logo with link to Google Scholar
Rezaei Khavas, Z., Kotturu, M. R., Ahmadzadeh, S. R., & Robinette, P. (2024). Do Humans Trust Robots that Violate Moral Trust? J. Hum.-Robot Interact., 13 (2), 25:1–25:30. Google Scholar logo with link to Google Scholar
Ryan, M. (2020). In AI We Trust: Ethics, Artificial Intelligence, and Reliability. Science and Engineering Ethics, 26 (5), 2749–2767. Google Scholar logo with link to Google Scholar
Schmutz, J. B., Outland, N., Kerstan, S., Georganta, E., & Ulfert, A.-S. (2024). Ai-teaming: Redefining collaboration in the digital era. Current Opinion in Psychology, 581, 101837. Google Scholar logo with link to Google Scholar
Seeber, I., Bittner, E., Briggs, R. O., De Vreede, T., De Vreede, G.-J., Elkins, A., Maier, R., Merz, A. B., Oeste-ReiB, S., Randrup, N., et al. (2020). Machines as teammates: A research agenda on ai in team collaboration. Information & management, 57 (2), 103174. Google Scholar logo with link to Google Scholar
Shneiderman, B. (1989). A nonanthropomorphic style guide: Overcoming the humpty-dumpty syndrome. The Computing Teacher, 16 (7), 5.Google Scholar logo with link to Google Scholar
Snow, T. (2021). From satisficing to artificing: The evolution of administrative decision-making in the age of the algorithm [Publisher: Cambridge University Press]. Data & Policy, 31, e3. Google Scholar logo with link to Google Scholar
Tabassi, E. (2023, 2023-01-26 05:01:00). Artificial intelligence risk management framework (ai rmf 1.0). Google Scholar logo with link to Google Scholar
The Guardian. (2023, May). Uk schools bewildered by ai and do not trust tech firms, headteachers say [Accessed: 2025-09-04].Google Scholar logo with link to Google Scholar
. (2025a, July). Medical charlatans have existed through history. but ai has turbocharged them [Accessed: 2025-09-04].Google Scholar logo with link to Google Scholar
. (2025b, August). Nhs to trial ai tool that speeds up hospital discharges [Accessed: 2025-09-04].Google Scholar logo with link to Google Scholar
. (2025c, August). Therapists warn ai chatbots risk harming mental health support [Accessed: 2025-09-04].Google Scholar logo with link to Google Scholar
. (2025d, May). Yes, ai will eventually replace some workers. but that day is still a long way off [Accessed: 2025-09-04].Google Scholar logo with link to Google Scholar
Tielman, M., Bailey, M. E., Frattolillo, F., Centeio Jorge, C., Ulfert, A.-S., & Meyer-Vitali, A. (2026). Multidisciplinary Perspectives on Human-AI Team Trust. Interaction Studies. Google Scholar logo with link to Google Scholar
UNESCO. (2021). Recommendation on the ethics of artificial intel ligence (tech. rep.) (Accessed: 2025-09-04). United Nations Educational, Scientific and Cultural Organization. [URL]
Wang, D., Churchill, E., Maes, P., Fan, X., Shneiderman, B., Shi, Y., & Wang, Q. (2020). From human-human collaboration to human-ai collaboration: Designing ai systems that can work together with people. Extended abstracts of the 2020 CHI conference on human factors in computing systems, 1–6. Google Scholar logo with link to Google Scholar
Wen, Y., Wang, J., & Chen, X. (2025). Trust and ai weight: Human-ai collaboration in organizational management decision-making. Frontiers in Organizational Psychology, 31, 1419403. Google Scholar logo with link to Google Scholar
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