Incoherent Robot Groups: How Divergent Motions within a Robot Group Predict Functional and Social Interpretations

A. Bacula, H. Knight
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引用次数: 1

Abstract

Research has found homogeneous robot groups can be intimidating, but few have studied the impact of intentionally incoherent robot group motion. This work explores incoherent group motion through an exploratory online user study, varying how robots move relative to a human figure entering the scene. Online participants (N=240 participants) rated twelve research conditions across various social and functional goals. Results showed coherent groups had the strongest communication signals, but incoherent motion can cue more complex communications. Coherent motion towards was threatening and blocking, and coherent motion away was avoidant and harmless. Coherent stillness was inviting. Subgroup size linearly affected communication strength.
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不连贯的机器人群体:机器人群体内的不同运动如何预测功能和社会解释
研究发现,同质的机器人群体可能令人生畏,但很少有人研究故意不连贯的机器人群体运动的影响。这项工作通过探索性的在线用户研究探索了不连贯的群体运动,改变了机器人相对于进入场景的人的移动方式。在线参与者(N=240名参与者)根据不同的社会和功能目标对12个研究条件进行评级。结果表明,连贯的群体具有最强的通信信号,但不连贯的运动可以提示更复杂的通信。向的一致运动具有威胁性和阻隔性,向的一致运动具有回避性和无害性。连贯的寂静是诱人的。子组大小线性影响通信强度。
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