基于情绪的自适应空间距离社交机器人导航
Social Robot Navigation with Adaptive Proxemics Based on Emotions
AI总结：
本研究提出一种基于人类情绪的自适应空间距离社交机器人导航框架，通过模拟实验和70人调研验证，情绪整合可显著提升人类安全与舒适度，愤怒时需增大导航距离，开心时不宜缩短距离。
摘要：
本文的主要目标是研究将情绪整合到社交导航框架中，分析其对导航效果以及人类生理安全与舒适度的影响。所提出的框架利用腿部检测来确定人员位置，并根据他们的情绪状态计算自适应的空间距离区域。我们在模拟环境中设计了若干案例研究，考察了3种不同情绪：积极（开心）、中性和消极（愤怒）。我们开展了一项有70名参与者的调研，探究他们对机器人导航的印象，并对比人类安全与舒适度测量结果。调研和模拟结果均表明，将情绪整合到空间距离区域中对人类的人身安全有显著影响。结果显示，当人处于愤怒状态时，机器人应保持比标准距离更远的导航距离，以保障其生理舒适度与安全。结果还表明，当人处于开心状态时，不建议缩短导航距离。
英文摘要：
The primary aim of this paper is to investigate the integration of emotions into the social navigation framework to analyse its effect on both navigation and human physiological safety and comfort. The proposed framework uses leg detection to find the whereabouts of people and computes adaptive proxemic zones based on their emotional state. We designed several case studies in a simulated environment and examined 3 different emotions; positive (happy), neutral and negative (angry). A survey study was conducted with 70 participants to explore their impressions about the navigation of the robot and compare the human safety and comfort measurements results. Both survey and simulation results showed that integrating emotions into proxemic zones has a significant effect on the physical safety of a human. The results revealed that when a person is angry, the robot is expected to navigate further than the standard distance to support his/her physiological comfort and safety. The results also showed that reducing the navigation distance is not preferred when a person is happy.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
