Prediction of human behavior in human-robot interaction using psychological scales for anxiety and negative attitudes toward robots

Prediction of human behavior in human-robot interaction using psychological scales for anxiety and negative attitudes toward robots
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DOI:
10.1109/tro.2007.914004
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发表时间:
2008-04-01
影响因子:
7.8
通讯作者:
Kato, Kensuke
Kato, Kensuke
中科院分区:
计算机科学1区
文献类型:
--
作者:
Nomura, Tatsuya;Kanda, Takayuki;Kato, Kensuke

文献摘要

被引文献

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当人们在日常生活中与通讯机器人互动时,他们对机器人的态度和情绪会影响他们的行为。从机器人设计的角度,我们需要研究这些态度和情绪对人机交互的影响。本文报告了我们对人的态度和情绪与他们对机器人的行为之间关系的实证研究。我们特别关注消极态度、焦虑和沟通回避行为,这对机器人设计具有重要意义。为此,我们使用了我们开发的两种心理量表:对机器人的消极态度量表(NARS)和机器人焦虑量表(RAS)。在实验中,受试者和一个人形机器人进行简单的互动,包括会面、问候、自我表露和身体接触的场景。实验结果表明,消极态度与情绪、沟通回避行为之间存在一定的关系。也有人提出性别影响。
When people interact with communication robots in daily life, their attitudes and emotions toward the robots affect their behavior. From the perspective of robotics design, we need to investigate the influences of these attitudes and emotions on human-robot interaction. This paper reports our empirical study on the relationships between people's attitudes and emotions, and their behavior toward a robot. In particular, we focused on negative attitudes, anxiety, and communication avoidance behavior, which have important implications for robotics design. For this purpose, we used two psychological scales that we had developed: negative attitudes toward robots scale (NARS) and robot anxiety scale (RAS). In the experiment, subjects and a humanoid robot are engaged in simple interactions including scenes of meeting, greeting, self-disclosure, and physical contact. Experimental results indicated that there is a relationship between negative attitudes and emotions, and communication avoidance behavior. A gender effect was also suggested.