| Title | Trust or Not?: A Computational Robot-Trusting-Human Model for Human-Robot Collaborative Tasks |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Hannum, Corey, Li, Rui, Wang, Weitian |
| Conference Name | 2020 IEEE International Conference on Big Data (Big Data) |
| Keywords | Big Data, Collaboration, computational model, Computational modeling, Data models, false trust, human factors, human-robot interaction, Injuries, policy-based governance, pubcrawl, Resiliency, Robotics, robots, Scalability, Task Analysis, Trust |
| Abstract | The trust of a robot in its human partner is a significant issue in human-robot interaction, which is seldom explored in the field of robotics. This study addresses a critical issue of robots' trust in humans during the human-robot collaboration process based on the data of human motions, past interactions of the human-robot pair, and the human's current performance in the co-carry task. The trust level is evaluated dynamically throughout the collaborative task that allows the trust level to change if the human performs false positive actions, which can help the robot avoid making unpredictable movements and causing injury to the human. Experimental results showed that the robot effectively assisted the human in collaborative tasks through the proposed computational trust model. |
| DOI | 10.1109/BigData50022.2020.9378119 |
| Citation Key | hannum_trust_2020 |
Trust or Not?: A Computational Robot-Trusting-Human Model for Human-Robot Collaborative Tasks