Human trust in Artificial Intelligence is one of the core issues affecting the development of human-machine cooperation. At present, the research on trust in human-computer cooperation mainly comes from the computer science research field, focusing on how to build, realize and optimize the computing and processing power of Artificial Intelligence system for specific tasks. The research on “what factors affect people’s trust in artificial intelligence system and how to accurately measure people’s trust in Artificial Intelligence system” is still in its infancy, and there is still a lack of empirical studies involving human users or rigorous behavioral science experimental methods in such studies. This paper reviews the research approaches to interpersonal trust in the field of behavioral science. The trust relationship between human and Artificial Intelligence system is discussed, and the influencing factors of human individual’s trust attitude towards Artificial Intelligence system are analyzed. This paper provides a theoretical basis for the establishment of trust calculation model in human-machine cooperation.


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    Title :

    The Influencing Factors of Human-Machine Trust: A Behavioral Science Perspective


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Wu, Meiping (editor) / Niu, Yifeng (editor) / Gu, Mancang (editor) / Cheng, Jin (editor) / Cai, Hanyu (author) / Wang, Chang (author) / Zhu, Yi (author)

    Conference:

    International Conference on Autonomous Unmanned Systems ; 2021 ; Changsha, China September 24, 2021 - September 26, 2021



    Publication date :

    2022-03-18


    Size :

    8 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English





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