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abstract

Using Psychophysiological Parameters to Support Users in Setting Effective Activity Goals

Published:07 May 2016Publication History

ABSTRACT

Goal-setting has shown some promise in promoting physical activity behavior change among adults. In this context, adaptive goal setting has been identified as a relevant future research area. However, it is not yet addressed in research sufficiently. We present a theoretical approach for adaptively supporting users in goal-setting. We explore potentials of using heart rate variability (HRV) for tailoring goal-setting in activity tracking applications. In consideration of intrapersonal variance in HRV, we suggest strategies for adaptively supporting goal-setting. We indicate the potential of HRV as a parameter for designing supportive activity tracking applications.

References

  1. Reinoud Achterkamp, Miriam Cabrita, Harm op den Akker, Hermie J. Hermens, Miriam M.R. Vollenbroek-Hutten. 2013. Promoting a healthy lifestyle: Towards an improved personalized feedback approach. In Proceedings of the IEEE 15th International Conference on e-Health Networking, Applications & Services (Healthcom '13), 725--727. http://dx.doi.org/10.1109/HealthCom.2013.67207Google ScholarGoogle Scholar
  2. Albert Bandura. 1991. Social Cognitive Theory of Self-Regulation. Organizational Behavior and Human Decision Processes 50: 248--287.Google ScholarGoogle ScholarCross RefCross Ref
  3. Adrian E. Bauman, Rodrigo S. Reis, James F. Sallis, Jonathan C. Wells, Ruth J.F. Loos, and Brian W. Martin. Lancet Physical Activity Series Working Group. Correlates of physical activity: why are some people physically active and others not? 380, 9838 (July 2012) 258-271. http://dx.doi.org/10.1016/S0140--6736(12)60735-Google ScholarGoogle Scholar
  4. Roy Baumeister, Ellen Bratlavsky, Mark Muraven, and Dianne Tice. 1998. Ego Depletion: Is the Active Self a Limited Resource? Personality Processes and Individual Differences 74, 5: 1252--1265.Google ScholarGoogle Scholar
  5. Roy Baumeister, Todd Heatherton and Dianne Tice. 1993. When ego threats lead to self-regulation failure: Negative consequences of high self-esteem. Journal of personality and social psychology, 64, 1: 141-156.Google ScholarGoogle ScholarCross RefCross Ref
  6. Pavol Bielik. 2011. Personalized training plan recommendation and activity tracking for a healthier lifestyle. Bulletin of the ACM Slovakia 3, 4: 39--40Google ScholarGoogle Scholar
  7. Pavol Bielik, Michal Tomlein, Peter Krátky, Štefan Mitrík, Michal Barla, and Mária Bieliková. 2012. Move2Play. In: Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium. 6170. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Bill Brennan, and Mark R. Elkins. 2014. Goalsetting, problem solving and feedback improve short-term adherence to physical activity in people with stable heart failure. British journal of sports medicine 48, 4: 343--344.Google ScholarGoogle Scholar
  9. Milton Z. Brown, Alison Reynard, Julia Nance. 2012. Self-Regulation: The Role of Heart Rate Variability. In San Diego Psychologist 26, 6. 14--16.Google ScholarGoogle Scholar
  10. Jens Bucksch, and Wolfgang Schlicht. 2006. Health-enhancing physical activity and the prevention of chronic diseases - An epidemiological review. Sozial-und Präventivmedizin, 51, 5: 281301.Google ScholarGoogle ScholarCross RefCross Ref
  11. Patrick Burns, Christopher Lueg, and Shlomo Berkovsky. 2012. Activmon: encouraging physical activity through ambient social awareness. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '12) Extended Abstracts, 2363--2368. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Fabio Buttussi, and Luca Chittaro. 2008. MOPET: A context-aware and user-adaptive wearable system for fitness training. Wearable Computing and Artificial Intelligence for Healthcare Applications 42, 2: 153--163. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Axel Schäfer and Jan Vagedes. 2013. How accurate is pulse rate variability as an estimate of heart rate variability? A review on studies comparing photoplethysmographic technology with an electrocardiogram. In International journal of cardiology 166, 1: 15-29.Google ScholarGoogle Scholar
  14. Sunny Consolvo, Katherine Everitt, Ian Smith, and James A. Landay. 2006. Design requirements for technologies that encourage physical activity. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '06). 457--466. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Sunny Consolvo, Predrag Klasnja, David W. McDonald, Daniel Avrahami, Jon Froehlich, Louis LeGrand, and James A. Landay. 2008. Flowers or a robot army? In Proceedings of the 10th international conference on Ubiquitous computing (UbiComp '08), 54-63. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Sunny Consolvo, Predrag Klasnja, David W. McDonald, and James A. Landay. 2009. Goal setting considerations for persuasive technologies that encourage physical activity. In Proceedings of the 4th International Conference on Persuasive Technology (Persuasive '09), 1--8. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Amber DeBono and Mark Muraven. 2013. Keeping it real: self-control depletion increases accuracy, but decreases confidence for performance. Journal of Applied Social Psychology 43: 879--886.Google ScholarGoogle ScholarCross RefCross Ref
  18. BJ Fogg. 2009. A Behavior Model for Persuasive Design. Persuasive 2009. Retrieved September 24, 2015 from http://bjfogg.com/fbm_files/page4_1.pdf.Google ScholarGoogle Scholar
  19. Peter Gollwitzer and Paschal Sheeran. 2006. Implementation Intentions and Goal Achievement: A Meta-analysis of Effects and Processes. In Advances in Experimental Social Psychology 38: 69-119.Google ScholarGoogle ScholarCross RefCross Ref
  20. Pedro C. Hallal, Lars B. Andersen, Fiona C. Bull, Regina Guthold, William Haskell, and Ulf Ekelund. Lancet Physical Activity Series Working Group. 2012. Global physical activity levels: surveillance progress, pitfalls, and prospects 380, 9838: 24757.Google ScholarGoogle Scholar
  21. Abby C. King, David K. Ahn, Brian M. Oliveira, Audie A. Atienza, Cynthia M. Castro, and Christopher D. Gardner. 2008. Promoting physical activity through hand-held computer technology. American journal of preventive medicine 34, 2: 138-142.Google ScholarGoogle Scholar
  22. Abby C. King, Eric B. Hekler, Lauren A. Grieco, Sandra J. Winter, Jylana L. Sheats, Matthew P. Buman,. .. and Jesse Cirimele. 2013. Harnessing different motivational frames via mobile phones to promote daily physical activity and reduce sedentary behavior in aging adults. PloS one 8, 4: e62613.Google ScholarGoogle ScholarCross RefCross Ref
  23. Olga Kulyk, Rieks op den Akker, Randy Klaassen, and Lisette van Gemert-Pijnen. 2014. Personalized Virtual Coaching for Lifestyle Support: Principles for Design and Evaluation. International journal on advances in life sciences 6, 3--4: 300--309.Google ScholarGoogle Scholar
  24. James J. Lin, Lena Mamykina, Silvia Lindtner, Gregory Delajoux, and Henry B. Strub. 2006. Fish'n'Steps: Encouraging Physical Activity with an Interactive Computer Game. In Proceedings of the 8th international conference on Ubiquitous Computing (UbiComp '06), 261--278. Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. Edwin Locke and Gary Latham. 2002. Building a Practically Useful Theory of Goal-setting and Task Motivation. American Psychologist 57, 9: 705--717.Google ScholarGoogle ScholarCross RefCross Ref
  26. Edwin Locke & and Gary Latham. 2006. New Directions in Goal-Setting Theory. Current Directions in Psychological Science 15, 5: 265--268.Google ScholarGoogle ScholarCross RefCross Ref
  27. Elizabeth J. Lyons, Zakkoyya H. Lewis, Brian G. Mayrsohn, and Jennifer L. Rowland. 2014. Behavior change techniques implemented in electronic lifestyle activity monitors: a systematic content analysis. Journal of medical Internet research 16, 8: e192.Google ScholarGoogle ScholarCross RefCross Ref
  28. Brian W. Martin, Sonja Kahlmeier, Francesca Racioppi, Finn Berggren, Mari Miettinen, JeanMichel Oppert, Harry Rutter, Radim filatcha, R., Mireille van Poppel, Jozica Maucec Zakotnik, Dirk Meusel, Pekka Oja, and Michael Sjöström. 2006. Evidenced-based physical activity promotion - HEPA Europe, the European Network for the Promotion of Health-Enhancing Physical Activity. Journal of Public Health 14, 2: 53--57.Google ScholarGoogle ScholarCross RefCross Ref
  29. Gregory J. Norman, Marion F. Zabinski, Marc A. Adams, Dori E. Rosenberg, Amy L. Yaroch, and Audie A. Atienza. 2007. A review of eHealth interventions for physical activity and dietary behavior change. American journal of preventive medicine 33, 4: 336--345.Google ScholarGoogle Scholar
  30. Faryle Nothwehr, and Jingzhen Yang. 2007. Goalsetting frequency and the use of behavioral strategies related to diet and physical activity. In: Health education research 22, 4: 532--538.Google ScholarGoogle Scholar
  31. Samuel R. Nyman, Kelly Goodwin, Dominika Kwasnicka, and Andrew Callaway. 2015. Increasing walking among older people: A test of behaviour change techniques using factorial randomised N-of1 trials. Psychol Health. 21: 1--36.Google ScholarGoogle Scholar
  32. Harm op den Akker, Valerie M. Jones, Hermie J. Hermens. 2014. Tailoring real-time physical activity coaching systems: a literature survey and model. User Model User-Adap Inter 24, 5: 351--392. Google ScholarGoogle ScholarDigital LibraryDigital Library
  33. Harm op den Akker, Randy Klaassen, Rieks op den Akker, Valerie M. Jones, and Hermie J. Hermens. 2013. Opportunities for smart & tailored activity coaching. In Proceedings of the IEEE 26th International Symposium on Computer-Based Medical Systems (CBMS '13), 546--547.Google ScholarGoogle Scholar
  34. Harm op den Akker, Val Jones, and Hermie Hermens. 2010. Predicting feedback compliance in a teletreatment application. In Proceedings of the IEEE 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL '10), 1--5.Google ScholarGoogle ScholarCross RefCross Ref
  35. Physical Activity Guidelines Advisory Committee. 2008. Physical activity guidelines advisory committee report 2008. Retrieved September 24, 2015, from http://health.gov/paguidelines/report/pdf/committeereport.pdf.Google ScholarGoogle Scholar
  36. Kenneth E. Powell, Amanda E. Paluch, and Steven N. Blair. 2011. Physical activity for health. What kind? How much? How intense? On top of what? Annu Rev Pub Health 32: 349--65.Google ScholarGoogle ScholarCross RefCross Ref
  37. Sunita Procter, Nanette Mutrie, Adrian Davis, and Suzanne Audrey. 2014. Views and experiences of behaviour change techniques to encourage walking to work: a qualitative study. BMC Public Health 14, 868: 1--13.Google ScholarGoogle Scholar
  38. Alison Reynard, Richard Gevirtz, Rustin Berlow, Mitlon Brown, and Kerri Boutelle. 2011. Heart Rate Variability as a Marker of Self-Regulation. Applied Psychophysiological Feedback 36, 209--215.Google ScholarGoogle ScholarCross RefCross Ref
  39. Privender Saini, and Joyca Lacroix. 2009. Selfsetting of physical activity goals and effects on perceived difficulty, importance and competence. In Proceedings of the 4th International Conference on Persuasive Technology (Persuasive '09), 33--39. Google ScholarGoogle ScholarDigital LibraryDigital Library
  40. Suzanna Segerstrom and Lise Solberg Nes. 2007. Heart Rate Variability Reflects Self-Regulatory Strength, Effort, and Fatigue. Psychological Science 18, 3: 275--281.Google ScholarGoogle ScholarCross RefCross Ref
  41. Mical Kay Shilts, Marcel Horowitz, and Marilyn S. Townsend. 2004. Goal-setting as a Strategy for Dietary and Physical Activity Behavior Change: A Review of the Literature. American Journal of Health Promotion 19, 2: 81--93.Google ScholarGoogle ScholarCross RefCross Ref
  42. Jeffrey A. Smith, Neil M.A. Hauenstein, and Laurie B. Buchanan. 2009. Goal-setting and Exercise Performance. Human Performance 9, 2: 141--154.Google ScholarGoogle ScholarCross RefCross Ref
  43. Olov Ståhl, Björn Gambäck, Preben Hansen, Markku Turunen, and Jaakko Hakulinen. 2008. A mobile fitness companion. In Proceedings of The Fourth International Workshop on Human-Computer Conversation.Google ScholarGoogle Scholar
  44. Victor Strecher, Gerad Seijts, Gerjo Kok, Gary Latham, Russell Glasgow, Brenda DeVellis, Ree Meertens, and David Bulger. 1995. Goal Setting as a Strategy for Health Behavior Change. In Health Education & Behavior 22, 2: 190-200.Google ScholarGoogle Scholar
  45. Stephanie R. Wack, Kimberly A. Crosland, and Raymond G. Miltenberger. 2014. Using goal-setting and feedback to increase weekly running distance. Journal of applied behavior analysis 47, 1: 181185.Google ScholarGoogle ScholarCross RefCross Ref
  46. Wilko Wieringa, Harm op den Akker, Valerie M. Jones, Rieks op den Akker, and Hermie J.Hermens. 2011. Ontology-Based Generation of Dynamic Feedback on Physical Activity. In Proceedings of the 13th Conference on Artificial Intelligence in Medicine (AIME '11), 55--59 Google ScholarGoogle ScholarDigital LibraryDigital Library

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