The Claim
In human-robot interaction, trust repair strategies vary in effectiveness, with apologies and explanations demonstrating greater success in restoring trust after breaches compared to alternative methods; however, overall effectiveness is limited, indicating that not all strategies contribute equally to rebuilding trustworthiness in robotic systems.
What the research says
Supports is higher
Support is ahead, but a single strong opposing study can change this.
These are independent scores, not a percentage. Higher-grade studies count more, so a single strong opposing study can outweigh several weaker ones.
When robots mess up, saying sorry or explaining what went wrong works better than other fixes to get people to trust them again — but it still doesn’t work perfectly.
See the scientific wording
Trust repair strategies in human-robot interaction are differentially effective, with apologies and explanations showing greater success in restoring trust after breaches compared to other approaches, though overall effectiveness remains limited, suggesting that not all methods equally contribute to rebuilding trustworthiness in robotic systems.
What the research says
1 studyStudy: Repairing Trust in Robots?: A Meta-analysis of HRI Trust Repair Studies with a No-Repair Condition
The study looked at how robots can fix broken trust with people and found that saying sorry and giving reasons work best, but overall, trust doesn’t bounce back fully—just like the claim says.
Score breakdown, mechanism chain, raw evidence, ideal studies needed & 1 supporting studies
Not medical advice. For informational purposes only. Always consult a qualified healthcare professional before making health decisions.