研究发现，机器人面部表情识别依赖眼区，越像人越易懂情绪。
Perception of Emotions in Human and Robot Faces: Is the Eye Region Enough?
- 对比全脸与仅眼区，测试人类对机器人情绪的识别能力
- 全脸动画机器人表情识别率接近人类水平，眼区则显著下降
- 眼区可见时，人形特征机器人更易被正确识别情绪
随着新一代社交机器人的发展，其情感表达的感知问题日益受到关注。本研究探讨了机器人外观（类人、机械）和面部区域（全脸、眼区）对人类感知机器人情绪的影响。一项包含305名参与者的事先对照用户研究显示：无论机器人外观是类人还是机械，配备背投全动画面部的机器人，其情绪表达能力与人类相当；当仅可见眼区时，人类对人与机器人都难以准确识别情绪；在仅眼区可见的条件下，具有更多类人特征的机器人能显著提升情绪识别准确率。
原文摘要 · Abstract (English)
The increased interest in developing next-gen social robots has raised questions about the factors affecting the perception of robot emotions. This study investigates the impact of robot appearances (humanlike, mechanical) and face regions (full-face, eye-region) on human perception of robot emotions. A between-subjects user study (N = 305) was conducted where participants were asked to identify the emotions being displayed in videos of robot faces, as well as a human baseline. Our findings reveal three important insights for effective social robot face design in Human-Robot Interaction (HRI): Firstly, robots equipped with a back-projected, fully animated face - regardless of whether they are more human-like or more mechanical-looking - demonstrate a capacity for emotional expression comparable to that of humans. Secondly, the recognition accuracy of emotional expressions in both humans and robots declines when only the eye region is visible. Lastly, within the constraint of only the eye region being visible, robots with more human-like features significantly enhance emotion recognition.
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