对此做出反应!人类如何利用非语言行为挑战交互式代理

Chuxuan Zhang, Bermet Burkanova, Lawrence H. Kim, Lauren Yip, Ugo Cupcic, Stéphane Lallée, Angelica Lim
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摘要

人们如何用自己的脸和身体来测试机器人的交互能力?制作生动、可信的代理通常被视为机器人和虚拟代理的目标,但可信性很容易崩溃。在这项 WoZ(Wizard-of-Oz)研究中,我们观察了 20 名参与者与 6 种代理之间的 1169 次非语言互动。我们收集了参与者用来在身体、情感和社交方面挑战角色的非语言行为。参与者自由地与人形和非人形进行了互动:机器人、人类、企鹅、河豚、香蕉和马桶。我们展示了人类在测试虚拟角色时所使用的 188 种独特非语言行为的人类行为代码集。从视频观察中得出的见解和设计策略旨在帮助构建更具交互意识和可信度的机器人,尤其是当人类将它们推向极限时。
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React to This! How Humans Challenge Interactive Agents using Nonverbal Behaviors
How do people use their faces and bodies to test the interactive abilities of a robot? Making lively, believable agents is often seen as a goal for robots and virtual agents but believability can easily break down. In this Wizard-of-Oz (WoZ) study, we observed 1169 nonverbal interactions between 20 participants and 6 types of agents. We collected the nonverbal behaviors participants used to challenge the characters physically, emotionally, and socially. The participants interacted freely with humanoid and non-humanoid forms: a robot, a human, a penguin, a pufferfish, a banana, and a toilet. We present a human behavior codebook of 188 unique nonverbal behaviors used by humans to test the virtual characters. The insights and design strategies drawn from video observations aim to help build more interaction-aware and believable robots, especially when humans push them to their limits.
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