Measurement of Trust in Automation: A Narrative Review and Reference Guide.
| Autor: | Kohn SC; George Mason University, Fairfax, VA, United States., de Visser EJ; Warfighter Effectiveness Research Center, United States Air Force Academy, Colorado Springs, CO, United States., Wiese E; George Mason University, Fairfax, VA, United States., Lee YC; George Mason University, Fairfax, VA, United States., Shaw TH; George Mason University, Fairfax, VA, United States. |
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| Jazyk: | angličtina |
| Zdroj: | Frontiers in psychology [Front Psychol] 2021 Oct 19; Vol. 12, pp. 604977. Date of Electronic Publication: 2021 Oct 19 (Print Publication: 2021). |
| DOI: | 10.3389/fpsyg.2021.604977 |
| Abstrakt: | With the rise of automated and autonomous agents, research examining Trust in Automation (TiA) has attracted considerable attention over the last few decades. Trust is a rich and complex construct which has sparked a multitude of measures and approaches to study and understand it. This comprehensive narrative review addresses known methods that have been used to capture TiA. We examined measurements deployed in existing empirical works, categorized those measures into self-report, behavioral, and physiological indices, and examined them within the context of an existing model of trust. The resulting work provides a reference guide for researchers, providing a list of available TiA measurement methods along with the model-derived constructs that they capture including judgments of trustworthiness, trust attitudes, and trusting behaviors. The article concludes with recommendations on how to improve the current state of TiA measurement. Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2021 Kohn, de Visser, Wiese, Lee and Shaw.) |
| Databáze: | MEDLINE |
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