A Meta-Analysis of Factors Influencing the Development of Trust in Automation

DEVCOM Army Research Laboratory · University of Central Florida

PubMed
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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

4

Topics & keywords

Keywords
  • Moderation
  • Automation
  • Pairwise comparison
  • Meta-analysis
  • Foundation (evidence)
  • Computer science
  • Field (mathematics)
  • Work (physics)
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Funding