人形外观的机器人更易引发用户期待其给出类人解释
The Influence of Human-like Appearance on Expected Robot Explanations
- 通过不同人形程度的机器人视觉刺激，研究用户预期解释模式
- 人形度越高，用户越期待类人化解释，相关性显著
- 适用于人机交互设计、具身智能产品开发人群
机器人的外观是影响用户心智模型与人机交互的重要因素，但其在用户预期机器人解释方面的影响尚未被充分研究。本研究通过组间实验，对比三种具有不同人形程度的家用服务机器人视觉刺激，让受试者针对相同机器人行为提供期望获得的解释。结果表明，所有条件下大多数解释均呈现类人特征；且类人化解释程度与机器人外观的人形度呈正相关。此外还观察到非类人解释的细微趋势及对机器人描述的变化规律。
原文摘要 · Abstract (English)
A robot's appearance is a known factor influencing user's mental model and human-robot interaction, that has not been studied in the context of its influence in expected robot explanations. In this study, we investigate whether and to what extent the human-like appearance of robots elicits anthropomorphism, which is conceptualised as an attribution of mental capacities, and how the level of anthropomorphism is revealed in explanations that people expect to receive. We designed a between-subject study comprising conditions with visual stimuli of three domestic service robots with varying human-like appearance, and we prompted respondents to provide explanations they would expect to receive from the robot for the same robot actions. We found that most explanations were anthropomorphic across all conditions. However, there is a positive correlation between the anthropomorphic explanations and human-like appearance. We also report on more nuanced trends observed in non-anthropomorphic explanations and trends in robot descriptions.
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