The Benefits of Considering Psychological Reactance as Users’ Personality Trait in HCI Research - Profiling Users with Hong’s Psychological Reactance Scale

Patrick Ehrenbrink

2017

Abstract

This paper argues for considering psychological reactance as a personality trait as an aspect for user models in the field of human-computer interaction (HCI). It is pointed out that with increasing human-likeness of services, such as intelligent personal assistants, phenomena from human-human interaction are becoming more important in the field of HCI, as well. The concept and means of measuring psychological reactance are explained. Furthermore, methods for adapting to different levels of trait reactance are proposed and discussed.

References

  1. Apple Inc. (2011). Siri. Retrieved December 23, 2016 from http://www.apple.com/ios/siri/.
  2. Brehm, J. W. (1966). A Theory of Psychological Reactance. Academic Press, New York.
  3. Brehm, S. S. and Brehm, J. W. (1981). Psychological reactance: A theory of freedom and control. Academic Press New York.
  4. Choi, Y. K., Miracle, G. E., and Biocca, F. (2001). The effects of anthropomorphic agents on advertising effectiveness and the mediating role of presence. Journal of Interactive Advertising, 2(1):19-32.
  5. Dillard, J. P. and Shen, L. (2005). On the nature of reactance and its role in persuasive health communication. Communication Monographs, 72(2).
  6. Edwards, S. M., Li, H., and Lee, J.-H. (2002). Forced exposure and psychological reactance: Antecedents and consequences of the perceived intrusiveness of pop-up ads. Journal of Advertising, 31(3):83-95.
  7. Ehrenbrink, P., Gong, X. G., and Möller, S. (2016a). Implications of different feedback types on error perception and psychological reactance. In Proceedings of the Annual Meeting of the Australian Special Interest Group for Computer Human Interaction. ACM.
  8. Ehrenbrink, P., Hillmann, S., Weiss, B., and Möller, S. (2016b). Psychological reactance in hci - a method towards improving acceptance of devices and services. In Proceedings of the Annual Meeting of the Australian Special Interest Group for Computer Human Interaction. ACM.
  9. Goldberg, L. R. (1993). The structure of phenotypic personality traits. American psychologist, 48(1):26.
  10. Google Inc. (2012). Google now. Retrieved December 23, 2016 from https://www.google.com/landing/now/.
  11. Guéguen, N. and Pascual, A. (2005). Improving the response rate to a street survey: an evaluation of the” but you are free to accept or to refuse” technique. The Psychological Record, 55(2):297.
  12. Hassenzahl, M. and Monk, A. (2010). The inference of perceived usability from beauty. Human-Computer Interaction, 25(3):235-260.
  13. Hong, S.-M. (1992). Hong's psychological reactance scale: a further factor analytic validation. Psychological Reports, 70(2):512-514.
  14. Hong, S.-M. and Faedda, S. (1996). Refinement of the hong psychological reactance scale. Educational and Psychological Measurement, 56(1):173-182.
  15. Hong, S.-M. and Page, S. (1989). A psychological reactance scale: Development, factor structure and reliability. Psychological Reports, 64(3c):1323-1326.
  16. ISO 9241-11 (1999). Ergonomische anforderungen fr brottigkeiten mit bildschirmgerten teil 11: Anforderungen an die gebrauchstauglichkeit - leitstze.
  17. Jonason, P. K. and Knowles, H. M. (2006). A unidimensional measure of hong's psychological reactance scale. Psychological Reports, 98(2):569-579.
  18. Lee, G. and Lee, W. J. (2009). Information & management psychological reactance to online recommendation services. Information & Management, 46(8):448- 452.
  19. Likert, R. (1932). A technique for the measurement of attitudes. Archives of psychology.
  20. Looije, R., Neerincx, M. A., and Cnossen, F. (2010). Persuasive robotic assistant for health self-management of older adults: Design and evaluation of social behaviors. International Journal of Human-Computer Studies, 68(6):386-397.
  21. Merz, J. (1983). Fragebogen zur messung der psychologischen reaktanz. Diagnostica.
  22. Microsoft (2014). Cortana. Retrieved December 23, 2016 from https://www.microsoft.com/windows/cortana/.
  23. Rains, S. A. (2013). The nature of psychological reactance revisited: A meta-analytic review. Human Communication Research, 39(1):47-73.
  24. Roubroeks, M., Ham, J., and Midden, C. (2011). When artificial social agents try to persuade people: The role of social agency on the occurrence of psychological reactance. International Journal of Social Robotics, 3(2):155-165.
  25. Roubroeks, M., Midden, C., and Ham, J. (2009). Does it make a difference who tells you what to do ? exploring the effect of social agency on psychological reactance. In Persuasive. ACM.
  26. Shen, L. and Dillard, J. P. (2010). Psychometric properties of the hong psychological reactance scale. Jornal of Personality Assessment, 85(1):74-81.
  27. Silvia, P. J. (2005). Deflecting reactance: The role of similarity in increasing compliance and reducing resistance. Basic and Applied Social Psychology, 27(3):277-284.
  28. Tucker, C. E. (2014). Social networks, personalized advertising, and privacy controls. Journal of Marketing Research, 51(5):546-562.
  29. White, T. B., Zahay, D. L., Thorbjørnsen, H., and Shavitt, S. (2008). Getting too personal: Reactance to highly personalized email solicitations. Marketing Letters, 19(1):39-50.
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Paper Citation


in Harvard Style

Ehrenbrink P. (2017). The Benefits of Considering Psychological Reactance as Users’ Personality Trait in HCI Research - Profiling Users with Hong’s Psychological Reactance Scale . In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: HUCAPP, (VISIGRAPP 2017) ISBN 978-989-758-229-5, pages 158-164. DOI: 10.5220/0006265301580164


in Bibtex Style

@conference{hucapp17,
author={Patrick Ehrenbrink},
title={The Benefits of Considering Psychological Reactance as Users’ Personality Trait in HCI Research - Profiling Users with Hong’s Psychological Reactance Scale},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: HUCAPP, (VISIGRAPP 2017)},
year={2017},
pages={158-164},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006265301580164},
isbn={978-989-758-229-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: HUCAPP, (VISIGRAPP 2017)
TI - The Benefits of Considering Psychological Reactance as Users’ Personality Trait in HCI Research - Profiling Users with Hong’s Psychological Reactance Scale
SN - 978-989-758-229-5
AU - Ehrenbrink P.
PY - 2017
SP - 158
EP - 164
DO - 10.5220/0006265301580164