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As an emerging interaction paradigm, physiological computing is increasingly being used to both measure and feed back information about our internal psychophysiological states. While most applications of physiological computing are designed for individual use, recent research has explored how biofeedback can be socially shared between multiple users to augment human-human communication. In this project, we aim to understand and formulate physio-temporal and social contextual factors surrounding physiological data sharing as well as how it can promote social-emotional competences [1].

Checkout our recent paper:

[1] Moge, Clara, Katherine Wang, and Youngjun Cho. "Shared User Interfaces of Physiological Data: Systematic Review of Social Biofeedback Systems and Contexts in HCI." CHI Conference on Human Factors in Computing Systems. 2022.

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