Tool or Partner: Mental-Aware Human-Robot Collaboration
Human-robot collaboration is a critical area of research, aiming to maximize synergy between humans and robots. However, a fundamental question persists: Should robots be seen as mere tools or genuine partners? Existing experimental environments have limitations in supporting virtual human-robot collaboration studies. In this paper, we propose a novel robot training framework designed for mental-aware human-robot collaboration. Within this framework, we introduce a Trust-Aware Mental Model incorporating a Human Trust component to represent human trust in robots. We create a virtual simulation environment to evaluate this model and conduct human-robot collaboration experiments. Quantitative and qualitative analyses demonstrate that integrating the trust-aware mental model enhances collaboration effectiveness. This finding underscores the necessity of viewing robots as true human partners and provides valuable insights for future research in human-robot collaboration.
Authors
- Xiaohu Yuan (ORCID: https://orcid.org/0009-0008-4239-2889)
- Yanzhi Dong
- Xianglong Meng (ORCID: https://orcid.org/0009-0000-2006-304X)
- Jie Ren (ORCID: https://orcid.org/0000-0001-5609-7276)
- Yajie Liu (ORCID: https://orcid.org/0000-0002-2323-0234)
- Peiyan Li
Institutions
- Yantai University (CN)
- Columbia University (US)
Publication Details
- Published
- 2024-12-17
- DOI
- https://doi.org/10.1109/icarce63054.2024.00076
- Primary Topic
- Robotics and Automated Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00