Motivating Physical Activity via Competitive Human-Robot Interaction
Motivating Physical Activity via Competitive Human-Robot Interaction
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发表时间：
2022-02
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通讯作者：
Boling Yang;Golnaz Habibi;Patrick E. Lancaster;Byron Boots;Joshua R. Smith
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作者：
Boling Yang;Golnaz Habibi;Patrick E. Lancaster;Byron Boots;Joshua R. Smith
该项目旨在通过创建一个机器人竞争对手，在某些场景（如体育锻炼和游戏）中挑战人类用户，从而激发对竞争性人机交互的研究。带着这个目标，我们介绍了击剑游戏，一个用来评估机器人选手能力和用户体验的人机竞赛。我们通过迭代多智能体强化学习开发了机器人竞争对手，并证明它可以很好地对抗人类竞争对手。我们的用户研究还发现，我们的系统能够持续创造具有挑战性和愉快的互动，显著提高人类受试者的心率。大多数人类受试者认为该系统是有趣的，并且对于提高他们的运动质量是可取的。
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.