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arXiv 2202.07068cs.ROcs.AIcs.HCcs.MA
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通过竞争性人机交互激励身体活动

Motivating Physical Activity via Competitive Human-Robot Interaction

University of Washington(华盛顿大学);Massachusetts Institute of Technology(麻省理工学院)

Boling Yang, Golnaz Habibi, Patrick E. Lancaster, Byron Boots, Joshua R. Smith

摘要:

该项目旨在通过创建一个机器人竞争者来激励竞争性人机交互的研究,该机器人竞争者可以在某些场景中挑战人类用户,例如体育锻炼和游戏。考虑到这一目标,我们介绍了击剑比赛,人类机器人的竞争,用于评估机器人竞争者的能力和用户体验。我们通过迭代多智能体强化学习开发了机器人竞争者,并表明它可以很好地对抗人类竞争者。我们的用户研究还发现,我们的系统能够不断创造具有挑战性和愉快的互动,显着增加人类受试者的心率。大多数人类受试者认为该系统是娱乐性的,并希望提高他们的锻炼质量。

英文摘要:

This project aims to motivate research in competitive human-robot interaction by creating a robot competitor that can challenge human users in certain scenarios such as physical exercise and games. With this goal in mind, we introduce the Fencing Game, a human-robot competition used to evaluate both the capabilities of the robot competitor and user experience. We develop the robot competitor through iterative multi-agent reinforcement learning and show that it can perform well against human competitors. Our user study additionally found that our system was able to continuously create challenging and enjoyable interactions that significantly increased human subjects' heart rates. The majority of human subjects considered the system to be entertaining and desirable for improving the quality of their exercise.

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。

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