Toward an Understanding of Trust Repair in Human-Robot Interaction: Current Research and Future Directions

被引:67
作者
Baker, Anthony L. [1 ]
Phillips, Elizabeth K. [2 ,3 ]
Ullman, Daniel [2 ,3 ]
Keebler, Joseph R. [1 ]
机构
[1] Embry Riddle Aeronaut Univ, Dept Human Factors, Daytona Beach, FL 32114 USA
[2] Brown Univ, Dept Cognit Linguist & Psychol Sci, Providence, RI 02912 USA
[3] Brown Univ, Humanity Ctr Robot Initiat, Providence, RI 02912 USA
关键词
Human-robot interaction; trust; trust repair; human-robot trust; automation; INTERPERSONAL-TRUST; AUTOMATION; TRUSTWORTHINESS; METAANALYSIS; DESIGN; TEAMS; MODEL; SCALE;
D O I
10.1145/3181671
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Gone are the days of robots solely operating in isolation, without direct interaction with people. Rather, robots are increasingly being deployed in environments and roles that require complex social interaction with humans. The implementation of human-robot teams continues to increase as technology develops in tandem with the state of human-robot interaction (HRI) research. Trust, a major component of human interaction, is an important facet of HRI. However, the ideas of trust repair and trust violations are understudied in the HRI literature. Trust repair is the activity of rebuilding trust after one party breaks the trust of another. These trust breaks are referred to as trust violations. Just as with humans, trust violations with robots are inevitable; as a result, a clear understanding of the process of HRI trust repair must be developed in order to ensure that a human-robot team can continue to perform well after a trust violation. Previous research on human-automation trust and human-human trust can serve as starting places for exploring trust repair in HRI. Although existing models of human-automation and human-human trust are helpful, they do not account for some of the complexities of building and maintaining trust in unique relationships between humans and robots. The purpose of this article is to provide a foundation for exploring human-robot trust repair by drawing upon prior work in the human-robot, human-automation, and human-human trust literature, concluding with recommendations for advancing this body of work.
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页数:30
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