The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Influence of cultural factors in dynamic trust in automation
Abstract
The use of autonomous systems has been rapidly increasing in recent decades. To improve human-automation interaction, trust has been closely studied. Research shows trust is critical in the development of appropriate reliance on automation. To examine how trust mediates the human-automation relationships across cultures, the present study investigated the influences of cultural factors on trust in automation. Theoretically guided empirical studies were conducted in the U.S., Taiwan and Turkey to examine how cultural dynamics affect various aspects of trust in automation. The results found significant cultural differences in human trust attitude in automation.
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Demographic factors such as gender, age, or culture and cultural aspects such as individualism and power relations within a culture can impact a person's propensity to trust an AI system.
“Additionally, demographics factors such as gender, age, or culture (Hoff & Bashir, 2015) and various cultural aspects such as individualism and power relations within a culture can impact a person's propensity to trust an AI system (Chien, Lewis, Hergeth, Semnani-Azad, & Sycara, 2015;Chien, Lewis, & Sycara, 2016).”
From Trust, distrust, and appropriate reliance in (X)AI: A conceptual clarification of user trust and survey of its empirical evaluation (2025) · cites this paper as Chien, Lewis, & Sycara, 2016
Citations
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“Studies have shown trust significantly influences human decision making in uncertain or risky conditions [1], [2].”
BackgroundA Meta-Analysis of Factors Affecting Trust in Human-Robot Interaction
Hancock, P. A., Billings, D. R., Schaefer, K. E., Chen, J. Y. C., de Visser, E. J., & Parasuraman, R. (2011) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720811417254 · Cited by 2,051 · cited 1×
“Studies have shown trust significantly influences human decision making in uncertain or risky conditions [1], [2].”
BackgroundMUIR, B. M. (1994) · Ergonomics · doi:10.1080/00140139408964957 · Cited by 873 · cited 1×
“Previous studies [3], [4] have shown shifts in trust in response to changes in properties and performance of the automation.”
ResultThe Perceived Utility of Human and Automated Aids in a Visual Detection Task
Dzindolet, M. T., Pierce, L. G., Beck, H. P., & Dawe, L. A. (2002) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1518/0018720024494856 · Cited by 386 · cited 1×
“Dzindolet [11] used an automatic target recognition task manipulating automation imperfection in order to measure effects on operator confidence.”
Method
Flagged first, then by citations
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Cited by
Sorted by citations
Trust in Human-AI Interaction: Scoping Out Models, Measures, and Methods
Ueno, T., Sawa, Y., Kim, Y., Urakami, J., Oura, H., & Seaborn, K. (2022) · Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3491101.3519772 · Cited by 91
Visser, R., Peters, T. M., Scharlau, I., & Hammer, B. (2025) · Cognitive Systems Research · doi:10.1016/j.cogsys.2025.101357 · Cited by 58
Having the Right Attitude: How Attitude Impacts Trust Repair in Human—Robot Interaction
Esterwood, C., & Robert, L. P. (2022) · 2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1109/hri53351.2022.9889535 · Cited by 36
Metadata
- Authors
- Chien, S.-Y., Lewis, M., Sycara, K., Liu, J.-S., & Kumru, A.
- Venue
- 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
- Publisher
- IEEE
- Published
- 2016-10
- Pages
- 002884-002889
- Cited by
- 30
- References
- 5
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