Effect of Different Listening Behaviors of Social Robots on Perceived Trust in Human-robot Interactions
参考中译:社交机器人不同倾听行为对人-机器人交互信任感的影响


          

刊名：International Journal of Social Robotics
作者：Anzabi Naeimeh（Tokyo Institute of Technology）
Umemuro Hiroyuki（Tokyo Institute of Technology）
刊号：737LB013
ISSN：1875-4791
出版年：2023
年卷期：2023, vol.15, no.6
页码：931-951
总页数：21
分类号：TP24
关键词：Trust；Active listening；Empathic listening；Cognitive and affective trust；Verbal and nonverbal behavior；Human-robot interaction
参考中译：信任;主动倾听;移情倾听;认知和情感信任;言语和非言语行为;人机交互
语种：eng
文摘：With the increased use of social robots in prominence and beyond functional performance, they are expected to foster trust and confidence in people. Various factors involve providing social robots with more trustworthy behavior. This study investigated whether the listening behavior of a social robot can affect the perception of being trustworthy in human–robot interaction. Therefore, we designed four different listening behaviors, including nonactive listening, active listening, active empathic listening, and verbal-only empathic listening, for a social robot and evaluated the impact of each behavior on the participants’ likelihood of trusting the robot, using a between-subject design. Participants in the four conditions conversed with a robot that simulated one of the listening behaviors, and their general, cognitive and affective trust toward the robot was measured. The results indicated that active empathic listening behavior provided the participants with the highest impression of trustworthiness, specifically in affective trust. Both active listening and active empathic listening were evaluated higher than nonactive listening in general, affective, and cognitive trust. However, active empathic listening behavior was differentiated from active listening behavior only in terms of affective trust. For verbal and nonverbal dimensions of listening behaviors, it was confirmed that nonverbal behaviors such as nodding, body movement, and eye gaze along with verbal behaviors, had a significant effect in eliciting higher affective trust in human-robot interaction. Consequently, we concluded that designing social robots with active (empathic) listening behavior can enhance trust perception in human-robot interaction in different fields such as education, healthcare, and business.
参考中译：随着社交机器人越来越多地使用，并超越了功能表现，它们有望培养人们的信任和信心。各种因素都涉及为社交机器人提供更值得信赖的行为。本研究调查了社交机器人的倾听行为是否会影响人与机器人互动中的可信任感。因此，我们为社交机器人设计了四种不同的倾听行为，包括非主动倾听、主动倾听、主动移情倾听和纯言语移情倾听，并使用受试者之间的设计评估了每种行为对参与者信任机器人的可能性的影响。在四种情况下，参与者与模拟其中一种倾听行为的机器人交谈，并测量他们对机器人的总体信任、认知信任和情感信任。结果表明，积极的共情倾听行为为参与者提供了最高的可信性印象，尤其是在情感信任方面。在总体信任、情感信任和认知信任上，积极倾听和积极移情倾听的得分均高于非积极倾听。然而，主动移情倾听行为与主动倾听行为仅在情感信任方面有所区别。对于倾听行为的语言和非语言维度，证实了非语言行为，如点头、身体运动、眼睛凝视以及语言行为，在人-机器人交互中产生更高的情感信任具有显著的效果。因此，我们得出结论，设计具有主动(移情)倾听行为的社交机器人可以在教育、医疗和商业等不同领域的人与机器人交互中提高信任感。



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