Can a Robot's 'Sorry' Save Your Trust? 🤖
The Experiment
Real Humans
Testing with authentic human participants in controlled research environments
Robot Mistakes
Analyzing various error scenarios and their impact on trust
Disasters
Studying response to critical error situations
Virtual Reality
Immersive testing environment for realistic interactions
Research Process
FIRST: We Measured the Risk
Comprehensive assessment of risk levels and their perception in human-robot interactions
THEN: We Tested Different Types of Apologies
Exploring various apology strategies and their effectiveness in rebuilding trust
Key Findings
High Risk or Low Risk?
→ Doesn't Matter
Risk level showed no significant impact on trust recovery
Something Else Is at Play
Maybe the way robots deliver the apology?
Delivery method appears more important than risk level
Research Publications
ICSR 2024
Presented and Published (In Print)
HAI 2024
Will Present (In Print)