主动性
机器人
感知
社交机器人
归属
人机交互
心理学
人机交互
基于行为的机器人学
构造(python库)
服务机器人
计算机科学
认知心理学
社会心理学
人工智能
机器人学
移动机器人
机器人控制
神经科学
程序设计语言
作者
Hao Tan,Ying Zhao,Shiyan Li,Wei Wang,Ming Zhu,Hong Ji,Yuan Xiang
标识
DOI:10.1080/01691864.2020.1831699
摘要
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.
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