Key result
A systematic review of 76 studies synthesized current knowledge on the integration of self and foreign live biofeedback based on neurophysiological data into information systems for everyday use.
This review provides a reference guide for integrating live biofeedback into everyday information systems, highlighting its potential beyond traditional clinical domains.
May guide biofeedback integration in everyday IS; leaves open prospective validation before clinical use.
With the advances in sensor technology and real-time processing of neurophysiological data, a growing body of academic literature has begun to explore how live biofeedback can be integrated into information systems for everyday use. While researchers have traditionally studied live biofeedback in the clinical domain, the proliferation of affordable mobile sensor technology enables researchers and practitioners to consider live biofeedback as a user interface element in contexts such as decision support, education, and gaming. In order to establish the current state of research on live biofeedback, we conducted a literature review on studies that examine self and foreign live biofeedback based on neurophysiological data for healthy subjects in an information systems context. By integrating a body of highly fragmented work from computer science, engineering and technology, information systems, medical science, and psychology, this paper synthesizes results from existing research, identifies knowledge gaps, and suggests directions for future research. In this vein, this review can serve as a reference guide for researchers and practitioners on how to integrate self and foreign live biofeedback into information systems for everyday use.
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Lux et al. (2018) conducted a review in Healthy subjects using live biofeedback. Live biofeedback was evaluated. A systematic review of 76 studies synthesized current knowledge on the integration of self and foreign live biofeedback based on neurophysiological data into information systems for everyday use.
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