人机信任校准的双途径:信任抑制与信任提升  

Trust dampening and trust promoting:A dual-pathway of trust calibration in human-robot interaction

作　　者：黄心语 李晔[1] HUANG Xinyu;LI Ye(School of Psychology,Central China Normal University&Key Laboratory of Adolescent Cyberpsychology and Behavior,Ministry of Education,Wuhan 430079,China)

机构地区：[1]华中师范大学心理学院暨青少年网络心理与行为教育部重点实验室,武汉430079

出　　处：《心理科学进展》2024年第3期527-542,共16页Advances in Psychological Science

基　　金：国家自然科学基金面上项目(72371113,71771102)资助。

摘　　要：信任是人机成功合作的基础。但个体在人机交互中并不总是持有恰当的信任水平,也可能会出现信任偏差:过度信任和信任不足。信任偏差会妨碍人机合作,因此需要对信任进行校准。信任校准常常通过信任抑制与信任提升两条途径来实现。信任抑制聚焦于如何降低个体对机器人过高的信任水平,信任提升则侧重于如何提高个体对机器人较低的信任水平。未来研究可进一步优化校准效果评估的测量方法、揭示信任校准过程中以及信任校准后个体的认知变化机制、探索信任校准的边界条件以及个性化和精细化的信任校准策略,以期助推人机协作。Trust is the basis of successful human-robot interaction.However,humans do not always hold the appropriate level of trust in human-robot interaction,sometimes they may also fall into pitfalls:the trust bias,which contains both over-trust and under-trust.Trust bias can harm the human-robot interaction and so trust calibration is necessary.Trust calibration is often achieved through two ways:trust dampening and trust promoting.Trust dampening focuses on how to reduce the high level of trust in robots,while trust promoting focuses on how to improve the low level of trust in robots.For future directions,we suggest further optimize the measurement of methods.Besides,we also need to clarify the cognitive process and explore more boundary conditions.Finally,in order to boost human-robot collaboration,researchers are encouraged to explore personalized and specialized trust calibration strategies based on individual differences and further clarify the various reasons why trust bias occurs.

关 键 词：信任校准 信任偏差 信任抑制 信任提升 人机交互 

分 类 号：B849[哲学宗教—应用心理学]