Investigation on Effects of Color, Sound, and Vibration on Human's Emotional Perception

Sichao Song, S. Yamada
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Abstract

As robotics has advanced, research on conveying a robot's emotional state to a person has become a hot topic. Most current studies are focused on interaction modalities such as facial expressions and natural language. Although many of the results seem to be promising, they suffer from high cost and technical difficulties. In this paper, we turn our attention to three other interaction modalities: color, sound, and vibration. Such modalities have the advantage of being simple, low cost, and intuitive. We conducted a pilot study to evaluate the effects of the three modalities on a human's emotional perception towards our robot Maru. Our result indicates that humans tend to interpret a robot's emotion as negative (angry in particular) when vibration and sound are used, while they interpret the emotion as relaxed when only color modality is used. In addition, the participants showed preference towards the robot when using all three modalities.
色彩、声音和振动对人的情绪感知的影响研究
随着机器人技术的发展,如何将机器人的情感状态传递给人已经成为一个热门话题。目前大多数研究都集中在面部表情和自然语言等交互方式上。尽管许多结果看起来很有希望,但它们受到高成本和技术困难的困扰。在本文中,我们将注意力转向其他三种交互方式:颜色、声音和振动。这种模式具有简单、低成本和直观的优点。我们进行了一项初步研究,以评估这三种模式对人类对机器人Maru的情感感知的影响。我们的研究结果表明,当使用振动和声音时,人类倾向于将机器人的情绪解释为消极的(尤其是愤怒的),而当只使用颜色模态时,他们将情绪解释为放松的。此外,当使用所有三种方式时,参与者都表现出对机器人的偏好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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