Real-Time Representation Versus Response Elicitation in Biosensor Data

被引:16
作者
Matthews, Mark [1 ]
Snyder, Jaime [1 ]
Reynolds, Lindsay [1 ]
Chien, Jacqueline T. [1 ]
Shih, Adam [1 ]
Lee, Jonathan W. [1 ]
Gay, Geri [1 ]
机构
[1] Cornell Univ, Dept Informat Sci, Ithaca, NY 14853 USA
来源
CHI 2015: PROCEEDINGS OF THE 33RD ANNUAL CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS | 2015年
关键词
Affective computing; stress management; biosensors; STRESS REDUCTION;
D O I
10.1145/2702123.2702485
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Recognized stress management techniques include cultivating mindfulness, breathing exercises, and meditation. While these approaches have been shown to mitigate the negative effects of stress, they can be difficult to learn or consistently apply. To support these techniques, we developed MoodLight, a playful system that uses ambient colored light to provide feedback regarding an individual's current arousal levels. Like many affective computing systems, MoodLight was designed to help users observe their internal state and learn to relax. However, our findings indicate that prompting or leading feedback can be more effective than real time feedback in helping users relax. This work contributes to affective computing by suggesting alternative approaches to designing biofeedback systems for stress management.
引用
收藏
页码:605 / 608
页数:4
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