Remote Heart Rate Sensing and Projection to Renew Traditional Board Games and Foster Social Interactions

International audienceWhile physiological sensors enter the mass market and reach the general public, they are still mainly employed to monitor health – whether it is for medical purpose or sports. We describe an application that uses heart rate feedback as an incentive for social interactions. A traditional board game has been "augmented" through remote physiological sensing, using webcams. Projection helped to conceal the technological aspects from users. We detail how players reacted – stressful situations could emerge when users are deprived from their own signals – and we give directions for game designers to integrate physiological sensors

Shared User Interfaces of Physiological Data: Systematic Review of Social Biofeedback Systems and Contexts in HCI

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. Reflecting on the empirical progress in this area of study, this paper presents a systematic review of 64 studies to characterize the interaction contexts and effects of social biofeedback systems. Our findings highlight the importance of physio-temporal and social contextual factors surrounding physiological data sharing as well as how it can promote social-emotional competences on three different levels: intrapersonal, interpersonal, and task-focused. We also present the Social Biofeedback Interactions framework to articulate the current physiological-social interaction space. We use this to frame our discussion of the implications and ethical considerations for future research and design of social biofeedback interfaces.Comment: [Accepted version, 32 pages] Clara Moge, Katherine Wang, and Youngjun Cho. 2022. Shared User Interfaces of Physiological Data: Systematic Review of Social Biofeedback Systems and Contexts in HCI. In CHI Conference on Human Factors in Computing Systems (CHI'22), ACM, https://doi.org/10.1145/3491102.351749