The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Cross-Country Validation of a Cultural Scale in Measuring Trust in Automation
Abstract
Human automation interaction is a complex process. How autonomous assistance impacts trust in automation as well as how trust affects human calibration and use of automation has been investigated for both dynamic contexts, including the internal variables (e.g., cultural characteristics) and external factors (e.g., system settings). Having standardized measures to capture trust and its antecedents is particularly critical to understanding how factors associated with the human operators and autonomous applications affects the way they are used. This paper reports the development of a trust instrument and several rounds of cross-country validation, including U.S., German, Taiwanese, and Turkish populations. The results confirm that the instrument which was developed reliably measured human trust in automation across cultures.
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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, Hergeth, Semnani-Azad, & Sycara, 2015
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“The effects of robust autonomous intelligence and human trust across a variety of contexts largely impact trust in automation (Lee & See, 2004).”
BackgroundInfluentialTrust and commitment in the United States and Japan
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“Face Cultures are widespread in East Asian because in these cultures self-worth is primarily interdependent with a person’s role in a stable social hierarchy and on fulfillment of role obligations (Heine, 2001).”
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Sorted by citations
What Explains Teachers’ Trust in AI in Education Across Six Countries?
Viberg, O., Cukurova, M., Feldman-Maggor, Y., Alexandron, G., Shirai, S., Kanemune, S., Wasson, B., Tømte, C., Spikol, D., Milrad, M., et al. (2025) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-024-00433-x · Cited by 179
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Metadata
- Authors
- Chien, S.-Y., Lewis, M., Hergeth, S., Semnani-Azad, Z., & Sycara, K.
- Affiliations
- School of Information Sciences, University of Pittsburgh, Pittsburgh, PA, 15260 U.S.A., ,
- BMW Group, Research & Technology, Munich, Germany,
- Department of Psychology, University of Waterloo, Waterloo, Ontario, Canada,
- Robotics Institute, Carnegie Mellon University Pittsburgh, PA 15213 U.S.A.,
- Venue
- Proceedings of the Human Factors and Ergonomics Society Annual Meeting
- Publisher
- SAGE Publications
- Published
- 2015-09
- Volume
- 59
- Issue
- 1
- Pages
- 686-690
- ISSN
- 1071-1813
- 2169-5067
- Cited by
- 27
- References
- 6
- Language
- en
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