Human Trust in Robots: A Survey on Trust Models and Their Controls/Robotics Applications
Trust model is a topic that first gained interest in organizational studies and then human factors in automation. Thanks to recent advances in human-robot interaction (HRI) and human-autonomy teaming, human trust in robots has gained growing interest among researchers and practitioners. This article...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Open Journal of Control Systems |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10366819/ |
| _version_ | 1797357119662456832 |
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| author | Yue Wang Fangjian Li Huanfei Zheng Longsheng Jiang Maziar Fooladi Mahani Zhanrui Liao |
| author_facet | Yue Wang Fangjian Li Huanfei Zheng Longsheng Jiang Maziar Fooladi Mahani Zhanrui Liao |
| author_sort | Yue Wang |
| collection | DOAJ |
| description | Trust model is a topic that first gained interest in organizational studies and then human factors in automation. Thanks to recent advances in human-robot interaction (HRI) and human-autonomy teaming, human trust in robots has gained growing interest among researchers and practitioners. This article focuses on a survey of computational models of human-robot trust and their applications in robotics and robot controls. The motivation is to provide an overview of the state-of-the-art computational methods to quantify trust so as to provide feedback and situational awareness in HRI. Different from other existing survey papers on human-robot trust models, we seek to provide in-depth coverage of the trust model categorization, formulation, and analysis, with a focus on their utilization in robotics and robot controls. The paper starts with a discussion of the difference between human-robot trust with general agent-agent trust, interpersonal trust, and human trust in automation and machines. A list of impacting factors for human-robot trust and different trust measurement approaches, and their corresponding scales are summarized. We then review existing computational human-robot trust models and discuss the pros and cons of each category of models. These include performance-centric algebraic, time-series, Markov decision process (MDP)/Partially Observable MDP (POMDP)-based, Gaussian-based, and dynamic Bayesian network (DBN)-based trust models. Following the summary of each computational human-robot trust model, we examine its utilization in robot control applications, if any. We also enumerate the main limitations and open questions in this field and discuss potential future research directions. |
| first_indexed | 2024-03-08T14:38:58Z |
| format | Article |
| id | doaj.art-edf2965040f34b1f8669bed9894121ff |
| institution | Directory Open Access Journal |
| issn | 2694-085X |
| language | English |
| last_indexed | 2024-03-08T14:38:58Z |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of Control Systems |
| spelling | doaj.art-edf2965040f34b1f8669bed9894121ff2024-01-12T00:02:39ZengIEEEIEEE Open Journal of Control Systems2694-085X2024-01-013588610.1109/OJCSYS.2023.334509010366819Human Trust in Robots: A Survey on Trust Models and Their Controls/Robotics ApplicationsYue Wang0https://orcid.org/0000-0003-0146-7262Fangjian Li1https://orcid.org/0000-0002-0099-5728Huanfei Zheng2https://orcid.org/0000-0001-6687-127XLongsheng Jiang3https://orcid.org/0000-0002-6458-6886Maziar Fooladi Mahani4https://orcid.org/0000-0002-1401-3270Zhanrui Liao5https://orcid.org/0009-0007-3245-0101Department of Mechanical Engineering, Clemson University, Clemson, SC, USADepartment of Mechanical Engineering, Clemson University, Clemson, SC, USADepartment of Mechanical Engineering, Clemson University, Clemson, SC, USADepartment of Mechanical Engineering, Clemson University, Clemson, SC, USADepartment of Mechanical Engineering, Clemson University, Clemson, SC, USADepartment of Mechanical Engineering, Clemson University, Clemson, SC, USATrust model is a topic that first gained interest in organizational studies and then human factors in automation. Thanks to recent advances in human-robot interaction (HRI) and human-autonomy teaming, human trust in robots has gained growing interest among researchers and practitioners. This article focuses on a survey of computational models of human-robot trust and their applications in robotics and robot controls. The motivation is to provide an overview of the state-of-the-art computational methods to quantify trust so as to provide feedback and situational awareness in HRI. Different from other existing survey papers on human-robot trust models, we seek to provide in-depth coverage of the trust model categorization, formulation, and analysis, with a focus on their utilization in robotics and robot controls. The paper starts with a discussion of the difference between human-robot trust with general agent-agent trust, interpersonal trust, and human trust in automation and machines. A list of impacting factors for human-robot trust and different trust measurement approaches, and their corresponding scales are summarized. We then review existing computational human-robot trust models and discuss the pros and cons of each category of models. These include performance-centric algebraic, time-series, Markov decision process (MDP)/Partially Observable MDP (POMDP)-based, Gaussian-based, and dynamic Bayesian network (DBN)-based trust models. Following the summary of each computational human-robot trust model, we examine its utilization in robot control applications, if any. We also enumerate the main limitations and open questions in this field and discuss potential future research directions.https://ieeexplore.ieee.org/document/10366819/Autonomous systemsautonomycomputational modelscontrol applicationhuman - robot collaboration (HRC)human - robot interaction (HRI) |
| spellingShingle | Yue Wang Fangjian Li Huanfei Zheng Longsheng Jiang Maziar Fooladi Mahani Zhanrui Liao Human Trust in Robots: A Survey on Trust Models and Their Controls/Robotics Applications IEEE Open Journal of Control Systems Autonomous systems autonomy computational models control application human - robot collaboration (HRC) human - robot interaction (HRI) |
| title | Human Trust in Robots: A Survey on Trust Models and Their Controls/Robotics Applications |
| title_full | Human Trust in Robots: A Survey on Trust Models and Their Controls/Robotics Applications |
| title_fullStr | Human Trust in Robots: A Survey on Trust Models and Their Controls/Robotics Applications |
| title_full_unstemmed | Human Trust in Robots: A Survey on Trust Models and Their Controls/Robotics Applications |
| title_short | Human Trust in Robots: A Survey on Trust Models and Their Controls/Robotics Applications |
| title_sort | human trust in robots a survey on trust models and their controls robotics applications |
| topic | Autonomous systems autonomy computational models control application human - robot collaboration (HRC) human - robot interaction (HRI) |
| url | https://ieeexplore.ieee.org/document/10366819/ |
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