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The Study

Repairing Trust in Robots?: A Meta-analysis of HRI Trust Repair Studies with a No-Repair Condition

In simple terms

This study looks at 22 other studies to see what helps people trust robots again after they make a mistake. It found that saying sorry or explaining what went wrong might help a little, but we can't be sure those actions are the reason trust improved because the studies didn’t all test things in a fair, random way.

36%

Analysis score

36/ 100

Maximum 100 for a systematic review with meta-analysis.

Where the score came from

Reporting0
Methodology25
Publication100
Statistical31
Study type (basis of the score)
Systematic Review with Meta-Analysis
Level 1a - Systematic review of RCTs
What’s the bottom line?

When robots do something wrong, people don’t trust them as much. This study looked at whether saying sorry or explaining helps robots win back trust.

Where does this study sit?

Reviews of RCTs (Meta-analyses)

Max 100

Randomized Trials

Max 90

Reviews of Cohort Studies

Max 85

Cohort Studies

Max 72

Reviews of Case-Control Studies

Max 63

Case-Control Studies

Max 58

Cross-Sectional & Case Series

Max 50

Expert Opinion

Max 5
StrongerWeaker
Reviews of RCTs (Meta-analyses)
Level 1a
36

36 / 100

Quality score

The highest quality evidence. Systematic reviews and meta-analyses that pool randomized controlled trials, giving the most reliable summary of experimental evidence.

Cannot establish causation

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Key takeaways

Summary

Based on the study abstract and findings.

  1. 1Even though saying sorry helps, people still don’t fully trust robots again after a mistake, which means better repair methods are needed.
  2. 2Out of 22 studies with 3,763 people, saying sorry and giving explanations worked best.
  3. 3But even the best methods only helped a little bit.

Score breakdown, methodology, conflicts of interest, evidence analysis & raw study data

Publication

Journal

2025 20th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

Year

2025

Authors

Connor Esterwood, L. Robert

7 citations
Analysis v5
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