生理数据的共享用户界面:HCI中社会生物反馈系统和环境的系统评价
Shared User Interfaces of Physiological Data: Systematic Review of Social Biofeedback Systems and Contexts in HCI
摘要:
作为一种新兴的交互模式,生理计算越来越多地被用于测量和反馈有关我们内部心理生理状态的信息。虽然生理计算的大多数应用程序都是为个人使用而设计的,但最近的研究已经探索了生物反馈如何在多个用户之间进行社交共享,以增强人与人之间的交流。反思在这一研究领域的实证进展,本文提出了一个系统的64项研究,以表征社会生物反馈系统的互动环境和影响。我们的研究结果强调了生理数据共享周围的生理时间和社会背景因素的重要性,以及它如何在三个不同的层面上促进社会情感能力:自我,人际和任务为中心。我们还提出了社会生物反馈互动框架,以阐明当前的生理社会互动空间。我们用这个框架,我们的讨论的影响和伦理考虑,为未来的研究和设计的社会生物反馈接口。
英文摘要:
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.
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