ABSTRACT Various attempts have been made to research the proactive interaction behavior of robots and to apply different service scenarios from home to public areas but have not investigated social robot behavior and user perception from the anthropomorphizing design’s preceptive to construct robots’ interaction strategy. Our aim is to explore the relationship between proactivity in social robot behavior and a user’s perception of anthropomorphic attributes. We conducted a Wizard-of-Oz study by designing five levels of proactive behaviors in a social robot. The subjects experienced each of them in the experiment and rate their perception on a scale, which includes anthropomorphic attributes such as Warmth and Mind Attribution. The subjects also provided an explicit description of their social experience regarding proactive behaviors. The result indicated that all anthropomorphic attributes of different proactivity levels have a significant difference. And the user perception of the anthropomorphic attributes in terms of Warmth can be increased with the proactive behavior levels. However, when robots do not use proactive behavior, users may perceive more Mind Attribution. Understanding a human's perception of anthropomorphic attributes of social robots with different proactive levels of robot behaviors can support HRI design in domestic robot applications. GRAPHICAL ABSTRACT

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社交机器人主动行为与人对拟人化属性感知的关系

摘要 研究机器人的主动交互行为以及应用从家庭到公共区域的不同服务场景已经进行了各种尝试，但尚未从拟人化设计的构想构建机器人交互策略来研究社交机器人行为和用户感知。我们的目标是探索社交机器人行为的主动性与用户对拟人化属性的感知之间的关系。我们通过在社交机器人中设计五个级别的主动行为进行了绿野仙踪研究。受试者在实验中体验了他们中的每一个，并在一个尺度上评价他们的感知，其中包括拟人化的属性，如温暖和心灵归因。受试者还明确描述了他们关于主动行为的社会经验。结果表明，不同主动性水平的拟人化属性均存在显着差异。并且可以随着主动行为水平增加用户对温暖方面拟人化属性的感知。然而，当机器人不使用主动行为时，用户可能会感知到更多的思维归因。了解人类对具有不同主动机器人行为水平的社交机器人拟人化属性的感知可以支持家庭机器人应用中的 HRI 设计。图形概要 用户可能会感知到更多的思维归因。了解人类对具有不同主动机器人行为水平的社交机器人拟人化属性的感知可以支持家庭机器人应用中的 HRI 设计。图形概要 用户可能会感知到更多的思维归因。了解人类对具有不同主动机器人行为水平的社交机器人拟人化属性的感知可以支持家庭机器人应用中的 HRI 设计。图形概要