人脸特征影响机器人可信度，大眼睛更易获信任
The Influence of Facial Features on the Perceived Trustworthiness of a Social Robot
- 通过调整仿人机器人面部特征，研究其第一印象
- 大眼睛设计显著提升人类对机器人的信任感
- 适合机器人外观设计与人机交互研究者参考
信任及其可信度感知在决策和人际行为中起关键作用，不仅存在于人与人之间，也适用于人与机器人交互。尽管近年来社交机器人领域取得显著进展，但人类对机器人信任的影响因素仍不完全清楚。本文基于‘婴儿脸’引发信任的假设，通过操控Furhat机器人的投影面部，研究其面部特征带来的第一印象。结果表明，眼睛形状和大小对可信度感知具有显著影响。该研究为优化人机交互效果的社交机器人设计提供了重要依据。
原文摘要 · Abstract (English)
Trust and the perception of trustworthiness play an important role in decision-making and our behaviour towards others, and this is true not only of human-human interactions but also of human-robot interactions. While significant advances have been made in recent years in the field of social robotics, there is still some way to go before we fully understand the factors that influence human trust in robots. This paper presents the results of a study into the first impressions created by a social robot's facial features, based on the hypothesis that a `babyface' engenders trust. By manipulating the back-projected face of a Furhat robot, the study confirms that eye shape and size have a significant impact on the perception of trustworthiness. The work thus contributes to an understanding of the design choices that need to be made when developing social robots so as to optimise the effectiveness of human-robot interaction.
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