Foreign Live Biofeedback: Using Others’ Neurophysiological Data

  • Florian Hawlitschek
  • Timm Teubner
  • Ewa Lux
  • Marc T. P. Adam
Conference paper
Part of the Lecture Notes in Information Systems and Organisation book series (LNISO, volume 10)

Abstract

Advances in sensor technology and real-time analysis of neurophysiological data have enabled the use of live biofeedback in information systems and the development of neuro-adaptive information systems. In this article, we transfer this notion to the use of foreign neurophysiological data. We sketch out an experimental approach and research model for investigating the impact of such foreign data in a trust scenario. We argue that foreign live biofeedback may be a powerful means to establish social presence and thus trust among the parties. Moreover, we discuss controversies such technology is likely to raise and sketch out potential strategies for IS service providers in this regard.

Keywords

NeuroIS Live biofeedback Decision support Trust game 

References

  1. 1.
    Astor, P.J., Adam, M.T.P., Jerčić, P., Schaaff, K., Weinhardt, C.: Integrating biosignals into information systems: a NeuroIS tool for improving emotion regulation. J. Manag. Inf. Syst. 30(3), 247–278 (2013)CrossRefGoogle Scholar
  2. 2.
    Al Osman, H., Eid, M., El Saddik, A.: U-biofeedback: a multimedia-based reference model for ubiquitous biofeedback systems. Multimedia Tools Appl. 72(3), 3143–3168 (2013)CrossRefGoogle Scholar
  3. 3.
    Riedl, R., Davis, F.D., Hevner, A.R.: Towards a NeuroIS research methodology: intensifying the discussion on methods, tools, and measurement. J. Assoc. Inf. Syst. 15, i–xxxv (2014)Google Scholar
  4. 4.
    Berg, J., Dickhaut, J., McCabe, K.: Trust, reciprocity, and social history. Games Econ. Behav. 10(1), 122–142 (1995)CrossRefGoogle Scholar
  5. 5.
    Dimoka, A., Banker, R.D., Benbasat, I., Davis, F.D., Dennis, A.R., Gefen, D., Gupta, A., Ischebeck, A., Kenning, P., Pavlou, P.A., Müller-Putz, G., Riedl, R., vom Brocke, J., Weber, B.:. On the use of neurophysiological tools in IS research: developing a research agenda for NeuroIS. MIS Q. 36(3), 679–702 (2010)Google Scholar
  6. 6.
    Djajadiningrat, T., Geurts, L., Munniksma, P.R., Christiaansen, G., de Bont, J.: Rationalizer: an emotion mirror for online traders. In: Proceedings of the 5th International Workshop on Design and Semantics of Form and Movement, pp. 39–48 (2009)Google Scholar
  7. 7.
    Ouwerkerk, M., Dandine, P., Bolio, D., Kocielnik, R., Mercurio, J., Huijgen, H., Westerink, J.: Wireless multi sensor bracelet with discreet feedback. In: Proceedings of the 4th Conference on Wireless Health, Paper 6, ACM (2013)Google Scholar
  8. 8.
    Wu, H.-Y., Rubinstein, M., Shih, E., Guttag, J., Durand, F., Freeman, W.: Eulerian video magnification for revealing subtle changes in the world. ACM Trans. Graph. 31, 1–8 (2012)CrossRefGoogle Scholar
  9. 9.
    Fairclough, S.: Physiological data must remain confidential. Nature 505(263), 7483 (2014). http://www.nature.com/news/physiological-data-must-remain-confidential-1.14524
  10. 10.
    Riedl, R., Mohr, P.N., Kenning, P.H., Davis, F.D., Heekeren, H.R.: Trusting humans and avatars: a brain imaging study based on evolution theory. J. Manag. Inf. Syst. 30(4), 83–114 (2014)CrossRefGoogle Scholar
  11. 11.
    Fulk, J., Steinfield, C.W., Schmitz, J., Power, J.G.: A social information processing model of media use in organizations. Commun. Res. 14(5), 529–552 (1987)CrossRefGoogle Scholar
  12. 12.
    Hassanein, K., Head, M.: Manipulating perceived social presence through the web interface and its impact on attitude towards online shopping. Int. J. Hum. Comput. Stud. 65(8), 689–708 (2007)CrossRefGoogle Scholar
  13. 13.
    Cyr, D., Head, M., Larios, H., Pan, B.: Exploring human images in website design: a multi-method approach. MIS Q. 33(3), 539–566 (2009)Google Scholar
  14. 14.
    Gefen, D., Straub, D.W.: Consumer trust in B2C e-Commerce and the importance of social presence: experiments in e-Products and e-Services. Omega 32(6), 407–424 (2004)CrossRefGoogle Scholar
  15. 15.
    Teubner, T., Adam, M.T.P., Camacho, S., Hassanein, K.: Understanding resource sharing in C2C platforms: the role of picture humanization. In: Proceedings of ACIS, pp. 1–10 (2014)Google Scholar
  16. 16.
    Melita Prati, L., Douglas, C., Ferris, G.R., Ammeter, A.P., Buckley, M.R.: Emotional intelligence, leadership effectiveness, and team outcomes. Int. J. Organ. Anal. 11(1), 21–40 (2003)CrossRefGoogle Scholar
  17. 17.
    Salovey, P., Mayer, J.D.: Emotional intelligence. Imagination Cogn. Pers. 9(3), 185–211 (1990)CrossRefGoogle Scholar
  18. 18.
    Rosete, D., Ciarrochi, J.: Emotional intelligence and its relationship to workplace performance outcomes of leadership effectiveness. Leadersh. Organ. Dev. J. 26(5), 388–399 (2005)CrossRefGoogle Scholar
  19. 19.
    Fenton-O’Creevy, M., Soane, E., Nicholson, N., Willman, P.: Thinking, feeling and deciding: the influence of emotions on the decision making and performance of traders. J. Organ. Behav. 32(8), 1044–1061 (2011)CrossRefGoogle Scholar
  20. 20.
    Druskat, V.U., Wolff, S.B.: Group emotional intelligence and its influence on group effectiveness. In: Cherniss, C., Goleman, D. (eds.) The Emotionally Intelligent Workplace: How to Select for, Measure, and Improve Emotional Intelligence in Individuals, Groups and Organizations, pp. 132–155. Jossey-Bass, San Francisco (2001)Google Scholar
  21. 21.
    Lopes, P.N., Brackett, M.A., Nezlek, J.B., Schütz, A., Sellin, I., Salovey, P.: Emotional intelligence and social interaction. Pers. Soc. Psychol. Bull. 30(8), 1018–1034 (2004)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Florian Hawlitschek
    • 1
  • Timm Teubner
    • 1
  • Ewa Lux
    • 1
  • Marc T. P. Adam
    • 2
  1. 1.Karlsruhe Institute of TechnologyKarlsruheGermany
  2. 2.The University of NewcastleNewcastleAustralia

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