Advertisement

The Values of Self-tracking and Persuasive eCoaching According to Employees and Human Resource Advisors for a Workplace Stress Management Application: A Qualitative Study

  • Aniek Lentferink
  • Louis Polstra
  • Martijn de Groot
  • Hilbrand Oldenhuis
  • Hugo Velthuijsen
  • Lisette van Gemert-Pijnen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10809)

Abstract

Self-tracking and automated persuasive eCoaching combined in a smartphone application may enhance stress management among employees at an early stage. For the application to be persuasive and create impact, we need to achieve a fit between the design and end-users’ and important stakeholders’ values. Semi-structured interviews were conducted among 8 employees and 8 human resource advisors to identify values of self-tracking, persuasive eCoaching, and preconditions (e.g., privacy and implementation) for a stress management application, using the value proposition design by Osterwalder et al. Results suggest essential features and functionalities that the application should possess. In general, respondents see potential in combining self-tracking and persuasive eCoaching for stress management via a smartphone application. Future design of the application should mainly focus on gaining awareness about the level of stress and causes of stress. In addition, the application should possess a positive approach besides solely the focus on negative aspects of stress.

Keywords

User-centred design eHealth Mobile phone Remote sensing technology Stress Physiological Stress Psychological Workplace Health promotion 

Notes

Acknowledgements

This study is partly funded by Menzis. Menzis had no involvement in the study’s design, execution, or reporting. We would like to thank all respondents who participated in this study.

References

  1. 1.
    Brosschot, J.F., Gerin, W., Thayer, J.F.: The perseverative cognition hypothesis: a review of worry, prolonged stress-related physiological activation, and health. J. Psychosom. Res. 60(2), 113–124 (2006).  https://doi.org/10.1016/j.jpsychores.2005.06.074CrossRefGoogle Scholar
  2. 2.
    Milczarek, M., Brun, E., Houtman, I., et al.: Expert Forecast on Emerging Psychosocial Risks Related to Occupational Safety and Health. European Agency for Safety and Health at Work, Luxembourg (2007)Google Scholar
  3. 3.
    De Jonge, J., Le Blanc, P., Schaufeli, W.: Theoretische modellen over werkstress. In: Schaufeli, W., Bakker, A.B. (eds.) De psychologie van arbeid en gezondheid, 3rd edn, pp. 23–45. Bohn Stafleu van Loghum, Houten (2013). (in Dutch)CrossRefGoogle Scholar
  4. 4.
    Lazarus, R.S., Folkman, S.: Transactional theory and research on emotions and coping. Eur. J. Pers. 1(3), 141–169 (1987)CrossRefGoogle Scholar
  5. 5.
    Nelson, D.L., Simmons, B.L.: Health psychology and work stress: a more positive approach. In: Quick, J.C.E., Tetrick, L.E. (eds.) Handbook of Occupational Health Psychology, pp. 97–119. American Psychological Association, Washington (2003).  https://doi.org/10.1037/10474-000CrossRefGoogle Scholar
  6. 6.
    Cuijpers, P., Shields-Zeeman, L., Walters, B.H., et al.: Prevention of depression and promotion of resilience – consensus paper. The European Commission (2016)Google Scholar
  7. 7.
    Ebert, D.D., Heber, E., Berking, M., et al.: Self-guided internet-based and mobile-based stress management for employees: results of a randomised controlled trial. Occup. Environ. Med. 73(5), 315–323 (2016).  https://doi.org/10.1136/oemed-2015-103269CrossRefGoogle Scholar
  8. 8.
    Lentferink, A.J., Oldenhuis, H.K.E., De Groot, M., et al.: Key components in eHealth interventions combining self-tracking and persuasive eCoaching to promote a healthier lifestyle: a scoping review. J Med. Internet Res. 19(8), e277 (2017).  https://doi.org/10.2196/jmir.7288CrossRefGoogle Scholar
  9. 9.
    Shiffman, S., Stone, A.A., Hufford, M.R.: Ecological momentary assessment. Annu. Rev. Clin. Psychol. 4, 1–32 (2008).  https://doi.org/10.1146/annurev.clinpsy.3.022806.091415CrossRefGoogle Scholar
  10. 10.
    Nahum-Shani, I., Hekler, E.B., Spruijt-Metz, D.: Building health behavior models to guide the development of just-in-time adaptive interventions: a pragmatic framework. Health Psychol. 34(S), 1209–1219 (2015).  https://doi.org/10.1037/hea0000306CrossRefGoogle Scholar
  11. 11.
    Osterwalder, A., Pigneur, Y., Bernarda, G., et al.: Value Proposition Design: How to Create Products and Services Customers Want, 1st edn. Wiley, Hoboken (2014)Google Scholar
  12. 12.
    Van Gemert-Pijnen, J.E.W.C., Nijland, N., Van Limburg, M., et al.: A holistic framework to improve the uptake and impact of eHealth technologies. J. Med. Internet Res. 13(4), e111 (2011).  https://doi.org/10.2196/jmir.1672CrossRefGoogle Scholar
  13. 13.
    Flick, U.: An Introduction to Qualitative Research, 5th edn. Sage, Thousand Oaks (2014)Google Scholar
  14. 14.
    LeRouge, C., Ma, J., Sneha, S., et al.: User profiles and personas in the design and development of consumer health technologies. Int. J. Med. Inform. 82(11), e251–e268 (2013).  https://doi.org/10.1016/j.ijmedinf.2011.03.006CrossRefGoogle Scholar
  15. 15.
    Van Limburg, M., Wentzel, J., Sanderman, R., et al.: Business modeling to implement an eHealth portal for infection control: a reflection on co-creation with stakeholders. JMIR Res. Protoc. 4(3), e104 (2015).  https://doi.org/10.2196/resprot.4519CrossRefGoogle Scholar
  16. 16.
    Oinas-Kukkonen, H., Harjumaa, M.: Persuasive systems design: key issues, process model, and system features. Commun. Assoc. Inf. Syst. 24(1), 485–500 (2009)Google Scholar
  17. 17.
    Derks, Y.P., Visser, T.D., Bohlmeijer, E.T., et al.: mHealth in Mental Health: how to efficiently and scientifically create an ambulatory biofeedback e-coaching app for patients with borderline personality disorder. Int. J. Hum. Fact. Ergon. 5(1), 61–92 (2017).  https://doi.org/10.1504/IJHFE.2017.088418CrossRefGoogle Scholar
  18. 18.
    Myrtek, M., Aschenbrenner, E., Brügner, G.: Emotions in everyday life: an ambulatory monitoring study with female students. Biol. Psychol. 68(3), 237–255 (2005).  https://doi.org/10.1016/j.biopsycho.2004.06.001CrossRefGoogle Scholar
  19. 19.
    Posner, J., Russell, J.A., Peterson, B.S.: The circumplex model of affect: an integrative approach to affective neuroscience, cognitive development, and psychopathology. Dev. Psychopathol. 17(3), 715–734 (2005).  https://doi.org/10.1017/S0954579405050340CrossRefGoogle Scholar
  20. 20.
    Executive HaS: Work with Display Screen Equipment. HSE Books, Sudbury (2003) http://www.hse.gov.uk/pubns/books/l26.htm. Cited 7 July 2017
  21. 21.
    Richardson, K.M., Rothstein, H.R.: Effects of occupational stress management intervention programs: a meta-analysis. J. Occup. Health Psychol. 13(1), 69–93 (2008).  https://doi.org/10.1037/1076-8998.13.1.69CrossRefGoogle Scholar
  22. 22.
    Patel, M.S., Asch, D.A., Volpp, K.G.: Wearable devices as facilitators, not drivers, of health behavior change. JAMA 313(5), 459–460 (2015).  https://doi.org/10.1001/jama.2014.14781CrossRefGoogle Scholar
  23. 23.
    Li, I., Dey, A., Forlizzi, J.: A stage-based model of personal informatics systems. In: Proceedings of SIGCHI Conference on Human Factors in Computing Systems - CHI 2010, pp. 557–566. ACM, New York (2010).  https://doi.org/10.1145/1753326.1753409
  24. 24.
    Seligman, M.E., Csikszentmihalyi, M.: Positive psychology: an introduction. In: Csikszentmihalyi, M. (ed.) Flow and the Foundations of Positive Psychology, pp. 279–298. Springer, Dordrecht (2014).  https://doi.org/10.1007/978-94-017-9088-8_18CrossRefGoogle Scholar
  25. 25.
    Oliver, R.L.: A cognitive model of the antecedents and consequences of satisfaction decisions. J. Mark. Res. 17(4), 460–469 (1980)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Marian van Os Centre for EntrepreneurshipHanze University of Applied SciencesGroningenThe Netherlands
  2. 2.Quantified Self InstituteHanze University of Applied SciencesGroningenThe Netherlands
  3. 3.Department of Psychology, Health & Technology, Centre for eHealth and Wellbeing ResearchUniversity of TwenteEnschedeThe Netherlands

Personalised recommendations