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Biocybernetic Adaptation as Biofeedback Training Method

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Advances in Physiological Computing

Part of the book series: Human–Computer Interaction Series ((HCIS))

Abstract

A method developed for adapting an automated flight control system to user state has been applied to the process of biofeedback training. This repurposing enables alternative mechanisms for delivering physiological information feedback to the trainee via a method referred to as physiological modulation. These mechanisms employ reinforcement principles to motivate adherence to the biofeedback training regime, to foster interactions among users and to enhance the experience of immersion in video game entertainment. The approach has implications for a broader dissemination of biofeedback training. This chapter will introduce the traditional biofeedback training method and its clinical applications, followed by a discussion of how biocybernetic adaptation can be applied to the biofeedback training method. This will be followed by a description of different methods of realising this self-regulation technology and where the technology may go in the future.

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Author information

Authors and Affiliations

  1. NASA Langley Research Center, Hampton, VA, 23681, USA

    Alan T. Pope & Chad L. Stephens

  2. School of Natural Sciences and Psychology, Liverpool John Moores University, Liverpool, UK

    Kiel Gilleade

Authors
  1. Alan T. Pope
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  2. Chad L. Stephens
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  3. Kiel Gilleade
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Correspondence to Alan T. Pope .

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Editors and Affiliations

  1. Liverpool John Moores University School of Natural Sciences & Psychology, Liverpool, Merseyside, United Kingdom

    Stephen H. Fairclough

  2. Liverpool John Moores University School of Natural Sciences & Psychology, Liverpool, Merseyside, United Kingdom

    Kiel Gilleade

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Pope, A.T., Stephens, C.L., Gilleade, K. (2014). Biocybernetic Adaptation as Biofeedback Training Method. In: Fairclough, S., Gilleade, K. (eds) Advances in Physiological Computing. Human–Computer Interaction Series. Springer, London. https://doi.org/10.1007/978-1-4471-6392-3_5

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  • DOI: https://doi.org/10.1007/978-1-4471-6392-3_5

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  • Online ISBN: 978-1-4471-6392-3

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