Influence of Environmental Context on Recognition Rates of Stylized Walking Sequences

Influence of Environmental Context on Recognition Rates of Stylized Walking Sequences
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环境背景对风格化步行序列识别率的影响

DOI:
10.1007/978-3-319-70022-9_27
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发表时间:
2017
期刊:
Social Robotics. ICSR 2017. Lecture Notes in Computer Science
影响因子:
--
通讯作者:
LaViers, Amy
LaViers, Amy
中科院分区:
--
文献类型:
--
作者:
Heimerdinger, Madison;LaViers, Amy

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随着越来越多的机器人进入面向人类的场景,情感运动可能会成为机器人交互的重要组成部分,在这些场景中,人类(有意识或无意识地)不断监控对手的运动特征,以便对对手的状态做出判断。目前在情感运动识别和生成方面的许多研究都试图提高机器正确识别人类情感的能力,或者识别和创建增强人类感知的机器人运动组件。然而,这些研究很少调查环境背景对机器正确识别人类情感的能力或人类正确识别机器人情感意图的能力的影响。本文介绍了一项用户研究的结果,该研究调查了人类对程式化行走序列(在b[1]中创建)的感知如何根据它们被描绘的环境而变化。结果表明,环境背景可以影响一个人正确感知动作的预期风格的能力。
Affective movement will likely be an important component of robotic interaction as more and more robots move into human-facing scenarios where humans are (consciously or unconsciously) constantly monitoring the motion profile of counterparts in order to make judgments about the state of their counterpart. Many current studies in affective movement recognition and generation seek to either increase a machine’s ability to correctly identify human affect or to identify and create components of robotic movement that enhance human perception. However, very few of these studies investigate the influence of environmental context on a machine’s ability to correctly identity human affect or a human’s ability to correctly identify the affective intent of a robot. This paper presents the results of a user study that investigated how human perception of stylized walking sequences (created in [1]) varied based on the environment where they were portrayed. The results show that environment context can impact a person’s ability to correctly perceive the intended style of a movement.
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