理解辅助人机交互中的参与度与侵入性：基于个体特质的研究
Understanding Engagement and Intrusiveness in Assistive Human-Robot Interaction Using Individual Traits
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中文总结 AI 辅助
本研究通过32人实验发现，机器人干预频率和个体特质共同影响用户感知的侵入性，强调人机交互需个性化调整以维持参与度。
中文摘要 AI 辅助
在陌生任务中，机器人辅助尤为关键，因为用户必须在与机器人协调的同时理解任务要求。以往研究关于机器人空间距离在用户参与度中的作用提供了不一致的证据：一些研究表明更近的距离能增强交互，而另一些研究则报告这可能让人感到侵入性。在这项工作中，我们认为侵入性的感知不仅取决于空间距离，还取决于机器人干预的频率，并且受到人格和人口统计学等个体特质的强烈影响。我们进行了一项实验，32名参与者与两个提供相似任务支持但干预策略不同的辅助机器人进行了交互。结果表明，整体参与度在不同条件下保持稳定，但情感反应和感知侵入性随人格特质显著变化。此外，人格对交互动态的影响因机器人行为的不同而不同。这些发现强调，有效的人机交互应考虑个体差异，调整机器人行为以保持参与度，同时尊重每位用户独特的情感和行为特征。
英文摘要
Robot assistance is particularly crucial in unfamiliar tasks, where users must understand task requirements while coordinating with the robot. Previous research offers mixed evidence on the role of robot proxemics in user engagement: some studies suggest closer proximity enhances interaction, while others report it can feel intrusive. In this work, we argue that perceptions of intrusiveness depend not only on proxemics but also on the frequency of robot interventions, and are strongly influenced by individual traits such as personality and demographics. We conducted an experiment with 32 participants who interacted with two assistive robots that provided similar task support but differed in their intervention strategies. Results indicate that overall engagement remains stable across conditions, yet affective responses and perceived intrusiveness vary significantly with personality traits. Moreover, personality shapes interaction dynamics differently depending on the robot's behavior. These findings emphasize that effective human-robot interaction should account for individual differences, tailoring robot behavior to maintain engagement while respecting each user's unique affective and behavioral profile.
发表机构
- Institut de Robòtica i Informàtica Industrial (CSIC-UPC)（工业与信息机器人研究所（CSIC-UPC））
- Universitat Politècnica de Catalunya (UPC)（加泰罗尼亚理工大学（UPC））
机构由 AI 辅助整理，请以论文原文为准。
