A Meta-Analysis of Factors Influencing the Development of Trust in Automation
DEVCOM Army Research Laboratory · University of Central Florida
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Abstract
Objective
We used meta-analysis to assess research concerning human trust in automation to understand the foundation upon which future autonomous systems can be built.
Background
Trust is increasingly important in the growing need for synergistic human-machine teaming. Thus, we expand on our previous meta-analytic foundation in the field of human-robot interaction to include all of automation interaction. METHOD: We used meta-analysis to assess trust in automation. Thirty studies provided 164 pairwise effect sizes, and 16 studies provided 63 correlational effect sizes.
Citation impact
703
total citations
- FWCI
- 48.40
- Percentile
- 100%
- References
- 161
Citations per year
Authors
4Topics & keywords
Topics
Keywords
- Moderation
- Automation
- Pairwise comparison
- Meta-analysis
- Foundation (evidence)
- Computer science
- Field (mathematics)
- Work (physics)
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