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Biocybernetic Adaptation as Biofeedback Training Method

Chapter
Part of the Human–Computer Interaction Series book 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.

Keywords

Attention Deficit Hyperactivity Disorder Fetal Alcohol Spectrum Disorder Video Game Playing Biofeedback Training Physiological Modulation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. Abrahams J (2001) Putting under stress. Golf magazine. p. 30–32 Google Scholar
  2. Applied Psychophysiology Institutes (1988) USE language and PC interface manual. J & J Enterprises, Poulsbo, WAGoogle Scholar
  3. Balconi-Lamica C, Neilson BN, Stephens CL, Pope AT (2012) Experiment design for study of neuro-biofeedback: mindshift. In: Proceedings of the association for applied psychophysiology and biofeedback 43rd annual meeting, Baltimore, AAPB, p 308Google Scholar
  4. Calmpute (1984) CalmPrix car racing game. Thought Technology LtdGoogle Scholar
  5. Crews DJ, Landers DM (1993) Electroencephalographic measures of attentional patterns prior to the golf putt. Med Sci Sports Exerc 25(1):116–126CrossRefGoogle Scholar
  6. Cyberlearning LLC (2004) S.M.A.R.T. Box technical manual. S.M.A.R.T. BrainGamesGoogle Scholar
  7. DeBeus R, Ball JD, DeBeus ME, Harrington R (2004) Attention training with ADHD children: preliminary findings in a double-blind placebo-controlled study. J Neurotherapy 8:145–148Google Scholar
  8. deCharms R, Maeda F, Glover G, Ludlow D, Pauly J, Soneji D, Gabrieli J, Mackey S (2005) Control over brain activation and pain learned by using real-time functional MRI. Proc Natl Acad Sci 102:18626–18631CrossRefGoogle Scholar
  9. Dingfelder SF (2008) Elite athletes are using EEG feedback to hone their mental states: but does it work? APA Monitor on Psychology, 39(7):58Google Scholar
  10. Edmonds WA, Tenenbaum G (eds) (2011) Case studies in applied psychophysiology: neurofeedback and biofeedback treatments for advances in human performance. Wiley, West SussexGoogle Scholar
  11. Fairclough SH (2008) BCI and physiological computing: differences, similarities & intuitive control. Workshop on BCI and computer games, CHI (08), Florence. http://www.physiologicalcomputing.net/?p=1928
  12. Fairclough SH, Gilleade K (2012) Construction of the biocybernetic loop: a case study. In: ACM international conference on multimodal interaction, New York, pp 571–578Google Scholar
  13. Fairclough SH, Gilleade K, Ewing KC, Roberts J (2013) Capturing user engagement via psychophysiology: measures and mechanisms for biocybernetic adaptation. Int J Auton Adapt Commun Syst 6(1):63–79CrossRefGoogle Scholar
  14. Fay C (2007) How to grip a baseball bat. eHow. http://www.ehow.com/how_10084_grip-baseball-bat.html. Accessed 12 Nov 2013
  15. Freeman F, Mikulka P, Scerbo M, Prinzel L, Clouatre K (2000) Evaluation of a psychophysiologically controlled adaptive automation system, using performance on a tracking task. Appl Psychophysiol Biofeedback 25:103–115CrossRefGoogle Scholar
  16. Ghaziri J, Tuckolka A, Larue V, Blanchette-Sylvestre M, Reyburn G, Gilbert G, Levesque J, Beauregard M (2013) Neurofeedback training induces changes in white and gray matter. Clin EEG Neurosci 44(4):265–272CrossRefGoogle Scholar
  17. Gilleade K, Dix A, Allanson J (2005) Affective videogames and modes of affective gaming: assist me, challenge me, emote me. In: Digital games research association (DiGRA) conference, Vancouver, pp 16–20Google Scholar
  18. Gruzelier J, Egner T (2005) Critical validation studies of neurofeedback. Child and Adolesc Psychiatr Clin North Am 14:83–104CrossRefGoogle Scholar
  19. Hefferline RF, Keenan B, Harford RA (1959) Escape and avoidance conditioning in human subjects without their observation of the response. Science 130:1338–1339CrossRefGoogle Scholar
  20. Hettinger L, Branco P, Encarnacao LM, Bonato P (2003) Neuroadaptive technologies: applying neuroergonomics to the design of advanced interfaces. Theor Issues Ergon Sci 4:220–237CrossRefGoogle Scholar
  21. Hilborn O, Cederholm H, Eriksson J, Lindley C (2013) A biofeedback game for training arousal regulation during a stressful task: the space investor. In: Kurosu M (ed) Human-computer interaction, HCII 2013, Part V. Springer, Berlin, pp 403–410Google Scholar
  22. Hodges J (2009) For langley inventors, it’s mind over golf. NASA Langley Researcher NewsGoogle Scholar
  23. Hodges J (2010) ‘Mindshift’ biofeedback gaming technology. NASA Langley Researcher NewsGoogle Scholar
  24. Kamiya, J. (1971) Biofeedback and self-control: an Aldine reader on the regulation of bodily processes and consciousness. Aldine-Atherton, ChicagoGoogle Scholar
  25. Kanki BG, Helmreich RL, Anca J (eds) (2010) Crew resource management, 2nd edn. Elsevier, San DiegoGoogle Scholar
  26. Kellar MA, Folen RA, Cowings PA, Toscano WB, Hisert GL (1993) Autogenic feedback training improves pilot performance during emergency flight conditions. Flight safety digest. Flight safety foundationGoogle Scholar
  27. Knox M, Lentini J, Cummings TS (2011) Game-based biofeedback for paediatric anxiety and depression. Mental Health Fam Med 8:195Google Scholar
  28. Lansbergen MM, Dongen-Boomsma M, Buitelaar JK, Slaats-Willemse D (2011) ADHD and EEG-neurofeedback: a double-blind randomized placebo-controlled feasibility study. J Neural Transm 118:275–284CrossRefGoogle Scholar
  29. Lubar JF (1991) Discourse on the development of EEG diagnostics and biofeedback for attention-deficit/hyperactivity disorders. Biofeedback Self-Regul 16(3):201–225CrossRefGoogle Scholar
  30. Mandryk RL, Dielschneider S, Kalyn MR, Betram CP, Gaetz M, Doucette A, Taylor BA, Orr AP, Keiver K (2013) Games as neurofeedback training for kids with FASD. In: International conference on interaction design and children. ACM, pp 165–172Google Scholar
  31. Monastra VJ (2005) Electroencephalographic biofeedback (neurotherapy) as a treatment for attention deficit hyperactivity disorder: rationale and empirical foundation. Child Adolesc Psychiatr Clin North Am 14:55–82CrossRefGoogle Scholar
  32. Moyer P (2005) Golfers’ “Yips” may be caused by a focal dystonia. http://www.medscape.com/viewarticle/503271. Accessed 12 Nov 2013
  33. Mulholland T (1977) Biofeedback as scientific method. In: Schwartz G, Beatty J (eds) Biofeedback: theory and research. Academic Press, New York, pp 9–28Google Scholar
  34. Nacke LE, Kalyn M, Lough C, Mandryk RL (2011) Biofeedback game design: using direct and indirect physiological control to enhance game interaction. In: CHI Conference, Vancouver, ACM, pp 103–112Google Scholar
  35. Neilson BN, Stephens CL, Pope AT (2012) Psychophysiological and performance effects of commercial brain-computer interface technology. In: Proceedings of the association for applied psychophysiology and biofeedback 43rd annual meeting, Baltimore, AAPB, p 309Google Scholar
  36. Neilson BN, Stephens CL, Pope AT (2013) Physiological self-regulation training using two new technologies: commercial off-the-shelf brain-computer interface devices and NASA LaRC MindShift technology. Poster presented at the association for applied psychophysiology and biofeedback 44th annual meeting, PortlandGoogle Scholar
  37. Norris P (1986) Biofeedback, voluntary control, and human potential. Biofeedback Self-Regul 11(1):1–20CrossRefGoogle Scholar
  38. O’Shea T, Sleeman DH (1973) A design for an adaptive self improving teaching system. In: Rose J (ed) Advances in cybernetics and systems, vol 3. Gordon & Breach, LondonGoogle Scholar
  39. Palsson O, Pope AT (1999) Stress counterresponse training of pilots via instrumental functionality feedback. In: Proceedings of the association for applied psychophysiology and biofeedback 30th annual meeting, Vancouver, AAPBGoogle Scholar
  40. Palsson OS, Harris R, Pope AT (2002) Method and apparatus for encouraging physiological self-regulation through modulation of an operator’s control input to a video game or training simulator. Washington, DC, USA Patent 6450820Google Scholar
  41. Palsson OS, Pope AT (2002) Morphing beyond recognition: the future of biofeedback technologies. Biofeedback 30(1):14–18Google Scholar
  42. Palsson OS, Pope AT, Ball JD, Turner MJ, Nevin S, DeBeus R (2001) Neurofeedback videogame ADHD technology: results of the first concept study. In: Proceedings of the association for applied psychophysiology and biofeedback. http://www.hp-add.com/articles/AAPB%20Videogame%20NASA%20Study%20Slides.pdf
  43. Pigott HE, Bodenhamer-Davis E, Davis RE, Harbin H (2013) The evidence-base for neurofeedback as a reimbursable healthcare service to treat attention deficit/hyperactivity disorderGoogle Scholar
  44. Pope A, Bogart E, Bartolome D (1995) Biocybernetic system validates index of operator engagement in automated task. Biol Psychol 40:187–195CrossRefGoogle Scholar
  45. Pope AT, Bogart E (1992) Identification of hazardous awareness states in monitoring environments. SAE 1992 Trans J Aerosp 101:449–457 (Section 1)Google Scholar
  46. Pope AT, Bogart E (1994) Method of encouraging attention by correlating video game difficulty with attention level. Washington, DC, Patent 5377100Google Scholar
  47. Pope AT, Bogart E (1996) Extended attention span training system: video game neurotherapy for attention deficit disorder. Child Study J 26:39–50Google Scholar
  48. Pope AT, Gersten CD (1977) Computer automation of biofeedback training. Behav Res Methods Instrum 9:164–168CrossRefGoogle Scholar
  49. Pope AT, Palsson OS (2002) Converging technologies for physiological self-regulation. In: Roco MC, Bainbridge WS (eds) Converging technologies for improving human performance: nanotechnology, biotechnology, information technology and cognitive science, NSF/DOC-sponsored report. National Science Foundation, Arlington, pp 231–239Google Scholar
  50. Pope AT, Palsson OS (2011a) Physiological user interface for a multi-user virtual environment. Washington, DC, USA Patent 8062129Google Scholar
  51. Pope AT, Palsson OS (2011b) Team electronic gameplay combining different means of control. Washington, DC, USA Patent Application 20110300523Google Scholar
  52. Pope AT, Prinzel L (2005) Recreation embedded state tuning for optimal readiness and effectiveness. In: 11th international conference on human-computer interaction, MIRA Digital Publishing, Las VegasGoogle Scholar
  53. Pope AT, Stephens CL (2012) Interpersonal biocybernetics: connecting through social psychophysiology. In: ACM international conference on multimodal interaction, Santa Monica, pp 123–190Google Scholar
  54. Pope AT, Stephens CL, Blanson NM (2012) Method and system for physiologically modulating videogames or simulations which use motion-sensing input devices. Washington, DC, USA Patent Application 20120004034Google Scholar
  55. Premack D (1965) Reinforcement theory. In: Jones MR (ed) Nebraska symposium on motivation. University of Nebraska Press, LincolnGoogle Scholar
  56. Prinzel L, Freeman F, Scerbo M, Mikulka P, Pope A (2000) A closed-loop system for examining psychophysiological measures for adaptive task allocation. Int J Aviat Psychol 10:393–410CrossRefGoogle Scholar
  57. Prinzel L, Pope AT, Palsson OS, Turner MJ (2014) Method and apparatus for performance optimization through physical perturbation of task elements. Washington, DC, USA Patent Application 8628333Google Scholar
  58. Rani P, Sarkar N, Liu C (2005) Maintaining optimal challenge in computer games through real-time physiological feedback. In: Proceedings 11th international conference on human computer interaction. Las Vegas, NV, 184–192Google Scholar
  59. Stephens CL, Scerbo MW, Pope AT (2012) Adaptive automation for mitigation of hazardous states of awareness. In: Matthews G, Desmond PA, Neubauer C, Hancock PA (eds) The handbook of operator fatigue. Ashgate, Farnham, pp 415–440Google Scholar
  60. Wei SH, Chiang JY, Shiang TY, Chang HY (2006) Comparison of shock transmission and forearm electromyography between experienced and recreational tennis players during backhand strokes. Clin J Sport Med 16(2):129–135CrossRefGoogle Scholar
  61. Weising (2011) Biometric interface for a handheld device. Washington, DC, USA Patent Application 20110260830Google Scholar
  62. Yucha C, Montgomery D (2008) Evidence-based practice in biofeedback and neurofeedback. Association for Applied Psychophysiology and Biofeedback, Wheat Ridge, COGoogle Scholar
  63. Zukor’s Grind (2010) Zukor interactive. http://zukor.com/interactive/grind.html

Copyright information

© Springer-Verlag London 2014

Authors and Affiliations

  • Alan T. Pope
    • 1
  • Chad L. Stephens
    • 1
  • Kiel Gilleade
    • 2
  1. 1.NASA Langley Research CenterHamptonUSA
  2. 2.School of Natural Sciences and PsychologyLiverpool John Moores UniversityLiverpoolUK

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