研究用户动机如何影响真实场景中人机互动效果。
What Drives You to Interact?: The Role of User Motivation for a Robot in the Wild
- 通过商场实地部署机器人，分析五类互动流畅度模式。
- 发现四类用户动机：功能、实验、好奇、教育，影响互动质量。
- 提示机器人设计应考虑用户动机以提升体验，适合人机交互研究者参考。
本文旨在理解用户动机如何塑造真实场景下的人机交互（HRI）。为此，我们在商场部署了一台完全自主的对话式机器人，持续两天进行实地观察。通过序列视频分析，识别出五种互动流畅度模式（顺畅、尴尬、活跃、混乱、安静），四种用户与机器人互动的动机类型（功能、实验、好奇、教育），以及用户对机器人的位置倾向。进一步分析表明，将用户动机类型融入机器人行为设计，可显著提升互动流畅性、参与度与用户满意度，为现实世界中的HRI提供优化依据。
原文摘要 · Abstract (English)
In this paper, we aim to understand how user motivation shapes human-robot interaction (HRI) in the wild. To explore this, we conducted a field study by deploying a fully autonomous conversational robot in a shopping mall over two days. Through sequential video analysis, we identified five patterns of interaction fluency (Smooth, Awkward, Active, Messy, and Quiet), four types of user motivation for interacting with the robot (Function, Experiment, Curiosity, and Education), and user positioning towards the robot. We further analyzed how these motivations and positioning influence interaction fluency. Our findings suggest that incorporating users' motivation types into the design of robot behavior can enhance interaction fluency, engagement, and user satisfaction in real-world HRI scenarios.
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