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Abstract robots with an attitude: Applying interpersonal relation models to human-robot interaction

机译:具有态度的抽象机器人:将人际关系模型应用于人机互动

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This paper explores new possibilities for social interaction between a human user and a robot with an abstract shape. The social interaction takes place by simulating behaviors such as submissiveness and dominance and analyzing the corresponding human reactions. We used an object that has no resemblance with human features in its shape or expression mode, in order to exclude the effect of these features on the human behavior. An intelligent walk-in closet was made to behave either dominantly or submissively using lighting effects. The behaviors of the closet were rated by participants using the Bem Sex Role Inventory in a pilot study, resulting in the selection of one submissive and one dominant lighting behavior for the closet. Participants' personality was measured using the Social Dominance Orientation questionnaire. These data were then compared to measurements of user satisfaction and feelings of dominance, arousal, and valence after scenario completion. A surprising effect was revealed as participants with a dominant personality reported feeling submissive to a dominant system, while in comparison, persons with a submissive personality felt more dominant in the same condition. Furthermore, it was found that a submissive system was generally more preferred by users. We draw a careful conclusion that people interact differently with systems that show human-like attitudes, than they would in response to similar attitude expressed by other person. These findings need to be investigated further with dominant/submissive nonverbal behaviors that are then simulated on a humanoid robot.
机译:本文探讨了人类用户与具有抽象形状的机器人之间的社交互动的新可能性。通过模拟顺从和统治性等行为和分析相应的人类反应来进行社会互动。我们使用的对象在其形状或表达模式下没有与人类特征相似,以便排除这些特征对人类行为的影响。智能步入式衣柜是以级联或先发写的照明效果表现出来。参与者在试点研究中使用BEM性角色清单的参与者评估了衣柜的行为,导致为壁橱选择一个顺从和一个主要的照明行为。参与者的个性使用社会优势取向问卷来衡量。然后将这些数据与用户满意度和统治感受的测量进行比较,在场景完成后的优势,唤醒和价。令人惊讶的效果被揭示为具有占优势人格的参与者报告对占主导地位的系统意见,而在比较中,具有顺从的人格的人在同样的情况下感到更大的占主导地位。此外,发现用户通常更优选提交系统。我们谨慎得出结论,人们与表现出人类态度的系统相互作用,而不是响应其他人表达的类似态度。需要进一步调查这些调查结果,然后在人形机器人上模拟的主导/顺从的非语言行为。

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