让孩子画机器人脸，互动感知更智能。
Design Activity for Robot Faces: Evaluating Child Responses To Expressive Faces
- 让孩子绘制个性化数字脸，替代固定面孔。
- 孩子画的脸让机器人社交智能感知提升显著。
- 适合儿童机器人设计、人机交互研究者参考。
面部表情在机器人与儿童互动中的参与度和吸引力方面起着关键作用。已有研究表明，具有表现力的机器人能增强儿童在人机交互中的投入度。然而，许多用于治疗场景的机器人采用非个性化、静态的面部设计，通常基于传统面部特征考量，限制了互动深度和情感连接。数字面部为个性化提供了可能，但当前机器人面部设计缺乏以用户为中心的动态方法。尤其在基于儿童偏好的设计方面存在显著研究空白，多数面向儿童的机器人仍从成人视角出发。本研究通过一项新实验，探讨儿童手绘数字脸在人机互动中的影响。研究要求儿童绘制自己定制的机器人面部，并对比两种实现方式：通用数字脸与基于儿童手绘的个性化脸。结果表明，由儿童绘制的机器人面部，在社交智能感知（PSI）上显著优于通用脸。
原文摘要 · Abstract (English)
Facial expressiveness plays a crucial role in a robot's ability to engage and interact with children. Prior research has shown that expressive robots can enhance child engagement during human-robot interactions. However, many robots used in therapy settings feature non-personalized, static faces designed with traditional facial feature considerations, which can limit the depth of interactions and emotional connections. Digital faces offer opportunities for personalization, yet the current landscape of robot face design lacks a dynamic, user-centered approach. Specifically, there is a significant research gap in designing robot faces based on child preferences. Instead, most robots in child-focused therapy spaces are developed from an adult-centric perspective. We present a novel study investigating the influence of child-drawn digital faces in child-robot interactions. This approach focuses on a design activity with children instructed to draw their own custom robot faces. We compare the perceptions of social intelligence (PSI) of two implementations: a generic digital face and a robot face, personalized using the user's drawn robot faces. The results of this study show the perceived social intelligence of a child-drawn robot was significantly higher compared to a generic face.
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