The robot that adapts too much? An experimental study on users' perceptions of social robots’ behavioral and persona changes between interactions with different users

Marcel Finkel, Nicole C. Krämer
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Abstract

Similar to interactions between humans, social robots are able to adapt to different people by altering their behavior. However, in contrast to humans, robots' adaptations allow for more extensive configurations, for example switching their persona to the most fitting one for the next user. Because people normally do not experience such fast and comprehensive adaptations of their interaction partners, such persona adaptations might cause unintended problems in multi-user scenarios if they are witnessed by a robot's users. Referring to perspective-taking and self-monitoring theory this laboratory study experimentally tested the effects of interpersonal adaptations on users' evaluations of robots and their interaction duration by manipulating the degree of experienced adaptation (none, behavioral, persona) in a between-subjects design. Empirical data from N = 115 participants contradict the assumption that experienced persona adaptations of social robots do necessarily impair human-robot interactions. This is shown with regard to both, users' time spent on the interaction and the evaluation of the respective robot. Furthermore, no benefits of behavioral adaptations could be observed, that were expected to unfold since they should not conflict with users' perceived understanding of the robot. In sum, both kinds of robotic adaptations were perceived similarly to the non-adapting robot.

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适应能力太强的机器人?用户对社交机器人在与不同用户交互时行为和性格变化的感知的实验研究
与人类之间的互动类似,社交机器人能够通过改变不同的人的行为来适应他们。然而,与人类相比,机器人的适应允许更广泛的配置,例如将他们的角色切换到最适合下一个用户的角色。因为人们通常不会体验到互动伙伴如此快速和全面的适应,所以如果机器人的用户目睹了这种角色适应,那么在多用户场景中可能会导致意想不到的问题。参考透视和自我监控理论,这项实验室研究通过在受试者之间的设计中操纵经验适应(无、行为、角色)的程度,实验测试了人际适应对用户对机器人的评价及其交互持续时间的影响。来自N=115名参与者的经验数据与社交机器人经历的角色适应必然会损害人机互动的假设相矛盾。这体现在用户在交互和评估各自机器人上花费的时间上。此外,没有观察到行为适应的好处,因为它们不应该与用户对机器人的感知理解相冲突,所以预计会显现出来。总之,这两种机器人的适应性都与不适应性机器人相似。
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