Skip to main content

Towards More Interactive Stress-Related Self-monitoring Tools to Improve Quality of Life

  • Conference paper
  • First Online:
Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) (IEA 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 818))

Included in the following conference series:

Abstract

Self-monitoring with diaries is one way to identify stress causing events and the respective personal reactions. Considering the broad distribution of smartphones over the past decade, an interactive stress diary application (app) was developed. Diary entries are linked to changes in the appearance of an avatar to support regular usage behavior through vicarious reinforcement.

To investigate the effectiveness of this interactive feature on actual user behavior, 55 young adults randomly received one of two versions of the self-monitoring app, one with vicarious reinforcement (experimental group) and one with no changes in the avatar (control group). After a four week test interval, participants were asked for feedback. Moreover, participants filled out standardized psychometric questionnaires measuring the subjective stress level, occurrence of daily hassles, quality of sleep, and physical symptoms.

Diary entries were correlated with the scores of the respective standardized psychometric questionnaires, indicating convergent validity of the diary categories. A significant increase of missing diary entries over time was found for the control group only. In line with this finding, participants of the experimental group stated that watching the avatar’s change over time was fun. These results are a first step towards more interactive stress-related self-monitoring tools to improve quality of life.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Kanfer FH, Gaelick-Buys L (1991) Self-management methods. In: Kanfer FH, Goldstein AP (eds) Helping people change. A textbook of methods, pp 305–360. Allyn and Bacon, Boston

    Google Scholar 

  2. Kanfer FH (1970) Self-regulation: research, issues and speculations. In: Neuringer C, Michael JL (eds) Behavior modification in clinical psychology. Appleton-Century-Crofts, New York, pp 178–220

    Google Scholar 

  3. Abraham C, Michie S (2008) A taxonomy of behavior change techniques used in interventions. Health Psychol 27:379–387 Official Journal of the Division of Health Psychology, American Psychological Association

    Article  Google Scholar 

  4. Bandura A (1998) Health promotion from the perspective of social cognitive theory. Psychol Health 13:623–649

    Article  Google Scholar 

  5. Breton ER, Fuemmeler BF, Abroms LC (2011) Weight loss-there is an app for that! But does it adhere to evidence-informed practices? Transl Behav Med 1:523–529

    Article  Google Scholar 

  6. Sharp DB, Allman-Farinelli M (2014) Feasibility and validity of mobile phones to assess dietary intake. Nutrition 30:1257–1266

    Article  Google Scholar 

  7. Hundert AS, Huguet A, McGrath PJ, Stinson JN, Wheaton M (2014) Commercially available mobile phone headache diary apps: a systematic review. JMIR mHealth uHealth 2:e36

    Article  Google Scholar 

  8. Mattson DC (2016) Usability evaluation of the digital anger thermometer app. Health Inf J 23:234–245

    Google Scholar 

  9. Smedberg Å, Sandmark H (2012) Design of a mobile phone app prototype for reflections on perceived stress. In: eTELEMED 2012: the fourth international conference on eHEALTH, telemedecine, and social medicine, pp 243–248. IARIA

    Google Scholar 

  10. Kanner AD, Coyne JC, Schaefer C, Lazarus RS (1981) Comparison of two modes of stress measurement: daily hassles and uplifts versus major life events. J Behav Med 4:1–39

    Article  Google Scholar 

  11. Folkman S, Lazarus RS, Dunkel-Schetter C, DeLongis A, Gruen RJ (1986) Dynamics of a stressful encounter. Cognitive appraisal, coping, and encounter outcomes. J Pers Soc Psychol 50:992–1003

    Article  Google Scholar 

  12. Cohen S, Hoberman HM (1983) Positive events and social supports as buffers of life change stress. J Appl Soc Pyschol 13:99–125

    Article  Google Scholar 

  13. Brantley PJ, Waggoner CD, Jones GN, Rappaport NB (1987) A daily stress inventory: development, reliability, and validity. J Behav Med 10:61–74

    Article  Google Scholar 

  14. Traue HC, Hrabal V, Kosarz P (2000) Alltagsbelastungsfragebogen (ABF): Zur inneren Konsistenz, Validierung und Stressdiagnostik mit dem deutschsprachigen Daily Stress Inventory. Verhaltenstherapie und Verhaltensmedizin 21:15–38

    Google Scholar 

  15. Buysse DJ, Reynolds CF III, Monk TH, Berman SR, Kupfer DJ (1989) The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res 28:193–213

    Article  Google Scholar 

  16. Bandura A (2001) Social cognitive theory of mass communication. Media Psychol 3:265–299

    Article  Google Scholar 

  17. Bandura A, Ross D, Ross SA (1963) Vicarious reinforcement and imitative learning. J Abnorm Soc Psychol 67:601–607

    Article  Google Scholar 

  18. Seaborn K, Fels DI (2015) Gamification in theory and action: a survey. Int J Hum Comput Stud 74:14–31

    Article  Google Scholar 

  19. Parks P, Cruz R, Ahn SJ (2014) Don’t hurt my avatar: the use and potential of digital self-representation in risk communication. Int J Robots Educ Art 4:10–20

    Google Scholar 

  20. Hswen Y, Murti V, Vormawor AA, Bhattacharjee R, Naslund JA (2013) Virtual avatars, gaming, and social media: designing a mobile health app to help children choose healthier food options. J Mob Technol Med 2:8–14

    Article  Google Scholar 

  21. Burigat S, Chittaro L (2014) Designing a mobile persuasive application to encourage reduction of users’ exposure to cell phone RF emissions. In: Hutchison D, Kanade T, Kittler J, Kleinberg JM, Kobsa A, Mattern F, Mitchell JC, Naor M, Nierstrasz O, Pandu Rangan C et al (eds) Persuasive technology, vol 8462, pp 13–24. Springer International Publishing, Cham

    Google Scholar 

  22. Lin JJ, Mamykina L, Lindtner S, Delajoux G, Strub HB (2006) Fish‘n’Steps: encouraging physical activity with an interactive computer game. In: Dourish P (ed) Proceedings of the 8th international conference on ubiquitous computing, vol. 4206, pp 261–278. Springer, Berlin, Heidelberg

    Google Scholar 

  23. Lister C, West JH, Cannon B, Sax T, Brodegard D (2014) Just a fad? Gamification in health and fitness apps. JMIR Serious Games 2:e9

    Article  Google Scholar 

  24. Hoffmann A, Christmann CA, Bleser G (2017) Gamification in stress management apps. A critical app review. JMIR Serious Games 5:e13

    Google Scholar 

  25. Fox J, Bailenson J, Binney J (2009) Virtual experiences, physical behaviors. the effect of presence on imitation of an eating avatar. Pres Teleoper Virtual Environ. 18:294–303

    Article  Google Scholar 

  26. Byrne S, Gay G, Pollack JP, Gonzales A, Retelny D, Lee T, Wansink B (2012) Caring for mobile phone-based virtual pets can influence youth eating behaviors. J Child Media 6:83–99

    Article  Google Scholar 

  27. Agudo A (2018) Measuring intake of fruit and vegetables. http://www.who.int/dietphysicalactivity/publications/f&v_intake_measurement.pdf. Accessed 17 Apr 2018

  28. Christmann CA, Zolynski G, Hoffmann A, Bleser G (2017) Effective visualization of long term health data to support behavior change. In: Duffy VG. (ed) Proceedings of the Digital human modeling. Applications in health, safety, ergonomics, and risk management: ergonomics and design: 8th international conference, DHM 2017, held as part of HCI International 2017, Vancouver, BC, Canada, 9–14 July 2017, pp 237–247. Springer, Cham

    Google Scholar 

  29. DeLongis A, Folkman S, Lazarus RS (1998) The impact of daily stress on health and mood: psychological and social resources as mediators. J Pers Soc Psychol 54(3):486–495

    Article  Google Scholar 

  30. Lu L (1991) Daily hassles and mental health: a longitudinal study. Br J Psychol 82:441–447

    Article  Google Scholar 

  31. Hirshkowitz M, Whiton K, Albert SM, Alessi C, Bruni O, DonCarlos L, Hazen N, Herman J, Katz ES, Kheirandish-Gozal L, Neubauer DN, O’Donnell AE, Ohayon M, Peever J, Rawding R, Sachdeva RC, Setters B, Vitiello MV, Ware JC, Adams Hillard PJ (2015) National Sleep Foundation’s sleep time duration recommendations: methodology and results summary. Sleep. Health 1(1):40–43

    Google Scholar 

  32. Christmann CA, Hoffmann A, Zolynski G, Bleser G (2017) Stress management apps with regard to emotion-focused coping and behavior change techniques: a content analysis. JMIR Mhealth Uhealth 5(2):e22

    Article  Google Scholar 

  33. Christmann CA, Hoffmann A, Zolynski G, Bleser G (2018) Stress-Mentor: linking gamification and behavior change theory in a stress management application, In: Stephanidis C (ed) HCII posters 2018, CCIS, vol 851. Springer, Cham

    Google Scholar 

Download references

Acknowledgements

Special thanks are due to Ann-Kathrin Beck, Nesibe Elibol and Stefanie Scülfort for supporting the data collection. The junior research group wearHEALTH is funded by the Federal Ministry of Education and Research (Bundesministerium für Bildung und Forschung, BMBF, reference number: 16SV7115).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Alexandra Hoffmann .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Christmann, C.A., Zolynski, G., Hoffmann, A., Bleser, G. (2019). Towards More Interactive Stress-Related Self-monitoring Tools to Improve Quality of Life. In: Bagnara, S., Tartaglia, R., Albolino, S., Alexander, T., Fujita, Y. (eds) Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018). IEA 2018. Advances in Intelligent Systems and Computing, vol 818. Springer, Cham. https://doi.org/10.1007/978-3-319-96098-2_17

Download citation

Publish with us

Policies and ethics