首页> 外文期刊>Paladyn: Journal of Behavioral Robotics >Non-Facial and Non-Verbal Affective Expression for Appearance-Constrained Robots Used in Victim Management*
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Non-Facial and Non-Verbal Affective Expression for Appearance-Constrained Robots Used in Victim Management*

机译:受害人管理中受外观约束的机器人的非面部和非言语情感表达*

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Non-facial and non-verbal methods of affective expression are essential for social interaction in appearance-constrained robots such as those used in search and rescue, law enforcement, and military applications. This research identified five main methods of non-facial and non-verbal affective expression (body movements, postures, orientation, color, and sound). Based on an extensive review of literature, prescriptive design recommendations were developed for the appropriate non-facial and non-verbal affective expression methods for three proximity zones of interest (intimate, personal, and social). These design recommendations serve as guidelines to add retroactively affective expression through software with minimal or no physical modification to a robot. A large-scale, complex human-robot interaction study was conducted to validate these design recommendations using 128 participants and four methods of evaluation. The study was conducted in a high-fidelity, confined-space simulated disaster site with all robot interactions performed in the dark. Statistically significant results indicated that participants felt the robots that exhibited affective expressions were more calming, friendly, and attentive, which improved the social human-robot interactions.
机译:非面部和非语言的情感表达方法对于受外观限制的机器人(例如搜索和救援,执法和军事应用中使用的机器人)中的社交互动至关重要。这项研究确定了非面部和非语言情感表达的五种主要方法(身体运动,姿势,方向,颜色和声音)。在广泛文献综述的基础上,针对三个感兴趣的邻近区域(亲密,个人和社交)的适当的非面部和非语言情感表达方法,制定了规范性设计建议。这些设计建议可作为指导,以通过对机器人进行最少或没有物理修改的软件来添加追溯情感表达。进行了大规模,复杂的人机交互研究,使用128位参与者和四种评估方法来验证这些设计建议。这项研究是在高保真,密闭空间模拟灾难现场进行的,所有机器人交互都是在黑暗中进行的。具有统计意义的结果表明,参与者感到表现情感表达的机器人更加镇定,友善和专心,从而改善了人与人之间的社交互动。

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