An Explainable ML Approach to Modeling Trust in HRI
Abstract
Recent years have seen a growing interest in industrial and social robots; however, their widespread adoption remains constrained due to a limited understanding of trust in human-robot interactions (HRI). Existing approaches to assessing trust in human–robot interactions primarily rely on post-hoc measurements, often collected through self-reports, which are not very effective and do not allow for real-time decision making, which is one of the main aspects of human-robot interactions. This research proposes a data-driven approach to measuring trust in HRI.
Fields of Study & Subjects
Social Robot Interaction and HRI
Human-Automation Interaction and Safety
Explainable Artificial Intelligence (XAI)
Publication details
- Journal / source
- Conference on Human Centred Artificial Intelligence - Education and Practice (HCAIep)
- Pages
- 122–122
- Publication date
- 21 January 2026
- Language
- EN