This line of research works towards two research objectives:
RO1: The identification of specific trust repair strategies that are most likely to be effective for a specific user in specific contexts.
RO2: The Longer-term development of a theoretical model of trust repair in HRI.
Trust is a dynamic force, evolving over time. When a trustee excels, trust flourishes; conversely, a trustee's failures can erode trust. While managing trust increases is relatively straightforward, trust declines can have enduring consequences, souring collaborative endeavors. Though trust breakdowns are inevitable they can be mitigated through verbal repairs such as apologies, denials, explanations, and promises. However, it remains unclear whether these strategies effectively restore trust in robots. This gap in understanding hinders the development of resilient robots capable of gracefully recovering from inevitable failures, thus limiting the potential of human-robot collaboration.
Computers in Human Behavior | 2023
The 26th ACM Conference On Computer-Supported Cooperative Work And Social Computing (CSCW) | 2023
Nature | Scientific Reports | 2023
ACM/IEEE Conference on Human-Robot Interaction (HRI) | 2023
Proceedings of the HFES 67th Annual Meeting of the Human Factors and Ergonomics Society [HFES] | 2023
IEEE Conference on Robot & Human Interactive Communication
(RO-MAN) | 2022
ACM/IEEE Conference on Human-Robot Interaction (HRI) | 2022
IEEE Conference on Robot & Human Interactive Communication
(RO-MAN) | 2021