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S/he's too Warm/Agentic! The Influence of Gender on Uncanny Reactions to Robots

机译:她/他太热情/狂躁!性别对机器人异常反应的影响

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Gender stereotypes are strong influences on human behavior. Given our tendency to anthropomorphize, incorporating gender cues into a robot's design can influence acceptance by humans. However, little is known about the interaction between human and robot gender. We focus on the role of gender in eliciting negative, “uncanny” reactions from observers. We create a corpus of YouTube videos featuring robots with female, male and no gender cues. Our experiment is grounded in Gray and Wegner's (2012) model, which holds that uncanny reactions are driven by the perception of robot agency (i.e., ability to plan and control) and experience (i.e., ability to feel), which in turn, is driven by robot appearance and behavior. Participants watched videos and completed questionnaires to gauge perceptions of robots as well as affective reactions. We used Structural Equation Modeling to test whether the model explains reactions of both men and women. For gender-neutral robots, it does. However, we find a salient human-robot gender interaction. Men's uncanny reactions to robots with female cues are best predicted by the perception of experience, while women's negativity toward masculine robots is driven by perceived agency. The result is interpreted in light of the “Big Two” dimensions of person perception, which underlie expectations for women to be warm and men to be agentic. When a robot meets these expectations, it increases the chances of an uncanny reaction in the other-gender observer.
机译:性别定型观念会对人类行为产生重大影响。考虑到我们拟人化的趋势,将性别线索纳入机器人的设计中可能会影响人类的接受程度。然而,关于人类和机器人性别之间相互作用的知识鲜为人知。我们关注性别在引起观察员的负面,“怪异”反应中的作用。我们创建了一组YouTube视频,其中包含男女不带性别提示的机器人。我们的实验基于Gray和Wegner(2012)的模型,该模型认为,不可思议的反应是由对机器人代理(即计划和控制能力)和经验(即感觉能力)的感知所驱动的,由机器人的外观和行为来驱动。参与者观看了视频并完成了问卷调查,以评估机器人的感知以及情感反应。我们使用结构方程建模来测试该模型是否可以解释男人和女人的反应。对于不分性别的机器人,它做到了。但是,我们发现了明显的人机性别互动。男人对机器人具有女性暗示的奇怪反应最好通过经验的感知来预测,而女性对男性机器人的否定性则是由感知的代理来驱动的。该结果是根据人的感知的“两个大”维度来解释的,这是对女性变暖和男人变身的期望的基础。当机器人满足这些期望时,它会增加其他性别观察者做出奇怪反应的机会。

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