Abstract
We systematically review recent empirical research on factors that influence trust in automation to present a three-layered trust model that synthesizes existing knowledge.
Much of the existing research on factors that guide human-automation interaction is centered around trust, a variable that often determines the willingness of human operators to rely on automation. Studies have utilized a variety of different automated systems in diverse experimental paradigms to identify factors that impact operators' trust. METHOD: We performed a systematic review of empirical research on trust in automation from January 2002 to June 2013. Papers were deemed eligible only if they reported the results of a human-subjects experiment in which humans interacted with an automated system in order to achieve a goal. Additionally, a relationship between trust (or a trust-related behavior) and another variable had to be measured. All together, 101 total papers, containing 127 eligible studies, were included in the review.
Citation impact
- FWCI
- 52.81
- Percentile
- 100%
- References
- 130
Authors
2Topics & keywords
- Automation
- Situational ethics
- Trustworthiness
- Computer science
- Variety (cybernetics)
- Empirical research
- Knowledge management
- Situation awareness