K-EmoPhone:一个移动和可穿戴的数据集,具有现场情绪,压力和注意力标签
Soowon Kang1, Woohyeok Choi2, Cheul Young Park3
1Korea Advanced Institute of Science and Technology, School of Computing, Daejeon, 34141, South Korea.
Scientific data
|June 2, 2023
概括
这项研究介绍了K-EmoPhone,这是一个用于心理健康研究的新数据集. 它使用移动传感器来跟踪情绪,压力和注意力,推进情感计算.
科学领域:
- 情感计算是一种情感计算.
- 人与计算机的互动.
- 移动传感器是一种移动传感器.
背景情况:
- 移动和可穿戴传感器越来越多地用于心理健康分析.
- 在开放式访问,现实世界的数据集中存在一个显著的差距,带有情感和认知状态标签.
- 这种局限性阻碍了情感计算和人机交互研究的进展.
研究的目的:
- 为了介绍K-EmoPhone,一个新的多式联络数据集.
- 为研究现实世界的情感和认知状态提供丰富的资源.
- 促进情绪智能和注意力管理技术的进步.
主要方法:
- 在七天内收集了77名学生的数据,使用商业移动和可穿戴传感器.
- 获得的外围生理信号,移动数据和智能手机背景/交互数据.
- 利用经验采样方法收集了5582个自我报告的情绪状态 (情绪,压力,注意力).
主要成果:
- K-EmoPhone数据集包括多式联络数据,包括生理信号,移动性,背景和自我报告的影响.
- 它可以在长时间内捕捉现实世界的情感和认知状态.
- 该数据集旨在研究情感计算和注意力管理.
结论:
- K-EmoPhone数据集解决了对现实世界的情感和认知数据的需求.
- 预计它将对情绪智能和注意力管理工具的发展做出重大贡献.
- 这一资源将加速对心理健康和人机交互的移动传感研究.
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