Abstract
Even the best robots will eventually make amistake while performing their tasks. In our past experiments, we have found that even one mistake can cause a large loss in trust by human users. In this paper, we evaluate the effects of a robot apologizing for its mistake, promising to do better in the future, and providing additional reasons to trust it in a simulated office evacuation conducted in a virtual environment. In tests with 319 participants, we find that each of these techniques can be successful at repairing trust if they are used when the robot asks the human to trust it again, but are not successful when used immediately after the mistake. The implications of these results are discussed.
Original language | English (US) |
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Pages (from-to) | 574-583 |
Number of pages | 10 |
Journal | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Volume | 9388 LNCS |
DOIs | |
State | Published - 2015 |
Event | 7th International Conference on Social Robotics, ICSR 2015 - Paris, France Duration: Oct 26 2015 → Oct 30 2015 |
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- General Computer Science