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Persuasive e-Health Design for Behavior Change

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Digital Phenotyping and Mobile Sensing

Abstract

At a time, in which people are more and more suffering from lifestyle-related diseases such as cardiovascular diseases, diabetes, or obesity, changing health behavior and preserving a healthy lifestyle are salient factors of any public health effort. Hence, research on predictors and pathways of health behavior change is increasingly important. Following this, new ways of implementing behavior change interventions become possible based on internet technologies, allowing for technological approaches to foster behavior change. Such union of media informatics and psychology is denoted as persuasive design and refers to all technological intervention components, which help people to take, regularly use and re-take (after relapses into unwanted behavior) interventions. Along this trend, the present chapter introduces (1) theories of health behavior change and summarizes (2) present persuasive design approaches, thereby ending with (3) future directions in the field.

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Bibliography

  • Ajzen I (1985) From intentions to actions: a theory of planned behavior. In: Kuhl J, Beckmann J (eds) Action control: from cognition to behavior. Springer, Heidelberg, pp 11–39

    Chapter  Google Scholar 

  • Anagnostopoulou E, Bothos E, Magoutas B, Schrammel J, Mentzas G (2018) Persuasive interventions for sustainable travel choices leveraging users’ personality and mobility type. In: Ham J, Karapanos E, Morita PP, Burns CM (eds) Persuasive technology. Springer, Cham, pp 229–241. https://doi.org/10.1007/978-3-319-01583-5_56

  • Bandura A (2001) Social cognitive theory: an agentic perspective. Annu Rev Psychol 52:1–26. https://doi.org/10.1146/annurev.psych.52.1.1

    Article  Google Scholar 

  • Baumeister H, Krämer L, Brockhaus B (2008) Grundlagen psychologischer Interventionen zur Änderung des Gesundheitsverhaltens. Klin Verhaltensmedizin Rehabil 82:254–264

    Google Scholar 

  • Baumeister H, Reichler L, Munzinger M, Lin J (2014) The impact of guidance on Internet-based mental health interventions—a systematic review. Internet Interv 1:205–215. https://doi.org/10.1016/j.invent.2014.08.003

    Article  Google Scholar 

  • Baumeister H, Paganini S, Sander LB, Lin J, Schlicker S, Terhorst Y, Moshagen M, Bengel J, Lehr D, Ebert DD (2021) Effectiveness of a guided Internet- and Mobile-based intervention for patients with chronic back pain and depression (WARD-BP): a multicenter, pragmatic randomized controlled trial. Psychother Psychosom 90:255–268. https://doi.org/10.1159/000511881

  • Baumel A, Muench FJ (2021) Effort-optimized intervention model: framework for building and analyzing digital interventions that require minimal effort for health-related gains. J Med Internet Res 23:e24905. https://doi.org/10.2196/24905

  • Baumel A, Yom-Tov E (2018) Predicting user adherence to behavioral eHealth interventions in the real world: examining which aspects of intervention design matter most. Transl Behav Med 8(5):793–798. https://doi.org/10.1093/tbm/ibx037

    Article  Google Scholar 

  • Baumel A, Birnbaum ML, Sucala M (2017) A systematic review and taxonomy of published quality criteria related to the evaluation of user-facing eHealth programs. J Med Syst 41(128). https://doi.org/10.1007/s10916-017-0776-6

  • Becker MH (1947) The health belief model and personal health behavior. Slack, Thorofare, NJ

    Google Scholar 

  • Bendig E, Bauereiß N, Ebert DD, Snoek F, Andersson G, Baumeister H (2018) Internet-based interventions in chronic somatic disease. Deutsches Aerzteblatt Int 115:659–665. https://doi.org/10.3238/arztebl.2018.0659

    Article  Google Scholar 

  • Bengio Y, Courville A, Vincent P (2013) Representation learning: a review and new perspectives. IEEE Trans Pattern Anal Mach Intell 35:1798–1828. https://doi.org/10.1109/TPAMI.2013.50

    Article  Google Scholar 

  • Ben-Zeev D, Scherer EA, Wang R, Xie H, Campbell AT (2015) Next-generation psychiatric assessment: using smartphone sensors to monitor behavior and mental health. Psychiatry Rehabil J 38(3):218–226. https://doi.org/10.1037/prj0000130

    Article  Google Scholar 

  • Berdichesvsky D, Neuenschwander E (1999) Towards an ethics of persuasive technology. Commun ACM 42:51–58

    Article  Google Scholar 

  • Bogg T, Roberts BW (2004) Conscientiousness and health-related behaviors: a meta-analysis of the leading behavioral contributors to mortality. Psychol Bull 130:887–919. https://doi.org/10.1037/0033-2909.130.6.887

    Article  Google Scholar 

  • Brunette MF, Ferron JC, Gottlieb J, Devitt T, Rotondi A (2016) Development and usability testing of a web-based smoking cessation treatment for smokers with schizophrenia. Internet Interv 4:113–119. https://doi.org/10.1016/j.invent.2016.05.003

    Article  Google Scholar 

  • Chow KKN (2018) Time off: designing lively representations as imaginative triggers for healthy smartphone use. In: Ham J, Karapanos E, Morita PP, Burns CM (eds) Persuasive technology. Springer, Cham, pp 135–146. https://doi.org/10.1007/978-3-319-78978-1_11

  • Christensen H, Griffiths KM, Farrer L (2009) Adherence in internet interventions for anxiety and depression: systematic review. J Med Internet Res 11:e13. https://doi.org/10.2196/jmir.1194

    Article  Google Scholar 

  • Cloninger R, Svrakic D, Przybeck T (1994) A psychobiological model of temperament and character. Arch Gen Psychiatry 50:975–990

    Article  Google Scholar 

  • Cohen S (2013) Nudging and informed consent. Am J Bioeth 13:3–11

    Article  Google Scholar 

  • Conner M (2008) Initiation and maintenance of health behaviors. Appl Psychol: Int Rev 57:42–50. https://doi.org/10.1111/j.1464-0597.2007.00321.x

    Article  Google Scholar 

  • Day JJ, Sanders MR (2018) Do parents benefit from help when completing a self-guided parenting program online? A randomized controlled trial comparing triple p online with and without telephone support. Behav Ther 49:1020–1038. https://doi.org/10.1016/j.beth.2018.03.002

    Article  Google Scholar 

  • Domhardt M, Steubl L, Baumeister H (2018) Internet-and mobile-based interventions for mental and somatic conditions in children and adolescents. Z Kinder Jugendpsychiatrie Psychother 1–14.https://doi.org/10.1024/1422-4917/a000625

  • Domhardt M, Geßlein H, von Rezori RE, Baumeister H (2019) Internet- and mobile-based interventions for anxiety disorders: a meta-analytic review of intervention components. Depress Anxiety 36:213–224. https://doi.org/10.1002/da.22860

    Article  Google Scholar 

  • Domhardt M, Steubl L, Boettcher J, Buntrock C, Karyotaki E, Ebert DD, Cuijpers P, Baumeister H (2021a) Mediators and mechanisms of change in internet-and mobile-based interventions for depression: a systematic review. Clin Psychol Rev 83:101953. https://doi.org/10.1016/j.cpr.2020.101953

    Article  Google Scholar 

  • Domhardt M, Cuijpers P, Ebert DD, Baumeister H (2021b) More light? Opportunities and pitfalls in digitalised psychotherapy process research. Front Psychol 12:863. https://doi.org/10.3389/fpsyg.2021.544129

    Article  Google Scholar 

  • Ebert DD, Cuijpers P, Munoz RF, Baumeister H (2017) Prevention of mental health disorders using Internet and mobile-based interventions: a narrative review and recommendations for future research. Front Psychiatry 8:116. https://doi.org/10.3389/fpsyt.2017.00116

  • Ebert DD, Daele T, Nordgreen T, Karekla M, Compare TA, Zarbo C, Brugnera A, Oeverland S, Trebbi G, Jensen KL, Kaehlke F, Baumeister H (2018) Internet and mobile-based psychological interventions: applications, efficacy and potential for improving mental health. A report of the EFPA e-health taskforce. Eur Psychol 23:167–187. https://doi.org/10.1027/1016-9040/a000318

    Article  Google Scholar 

  • Ferrer RA, Klein WMP (2015) Risk perceptions and health behavior. Curr Opin Psychol 5:85–89. https://doi.org/10.1016/j.copsyc.2015.03.012

    Article  Google Scholar 

  • Fogg BJ (1998) Persuasive computers: perspectives and research directions. In: Conference on human factors in computing systems. Proceedings of the SIGCHI conference on human factors in computing systems, pp 225–232

    Google Scholar 

  • Fogg BJ (2003) Persuasive technology: using computers to change what we think and do. Elsevier, San Francisco

    Book  Google Scholar 

  • Fry JP, Neff RA (2009) Periodic prompts and reminders in health promotion and health behavior interventions: systematic review. J Med Internet Res 11(2):e16. https://doi.org/10.2196/jmir.1138

    Article  Google Scholar 

  • Gollwitzer PM (1999) Implementation intentions: strong effects of simple plans. Am Psychol 54:493–503

    Article  Google Scholar 

  • Hamari J, Koivisto J, Pakkanen T (2014) Do persuasive technologies persuade? A review of empirical studies. In: International conference on persuasive technology, pp 118–136

    Google Scholar 

  • Hammelstein P (2006) Sexuelles Kontaktverhalten. In: Renneberg B, Hammelstein P (eds) Gesundheitspsychologie. Springer, Heidelberg, pp 229–244. https://doi.org/10.1007/978-3-540-47632-0_14

  • Hammelstein P, Pohl J, Reimann S, Roth M (2006) Persönlichkeitsmerkmale. In: Renneberg B, Hammelstein P (eds) Gesundheitspsychologie. Springer, Heidelberg, pp 61–101

    Chapter  Google Scholar 

  • Hardcastle SJ, Hancox J, Hattar A, Maxwell-Smith C, Thøgersen-Ntoumani C, Hagger MS (2015) Motivating the unmotivated: how can health behavior be changed in those unwilling to change? Front Psychol 6:1–4. https://doi.org/10.3389/fpsyg.2015.00835

    Article  Google Scholar 

  • Heckhausen J (2007) Motivation und Handeln. Springer, Berlin

    Google Scholar 

  • Kaprio J, Pulkkinen L, Rose RJ (2002) Genetic and environmental factors in health-related behaviors: studies on Finnish twins and twin families. Twin Res 5:366–371. https://doi.org/10.1375/136905202320906101

    Article  Google Scholar 

  • Kauer SD, Reid SC, Crooke AHD, Khor A, Hearps SJC, Jorm AF, … Patton G (2012) Self-monitoring using mobile phones in the early stages of adolescent depression: randomized controlled trial. J Med Internet Res 14:e67. https://doi.org/10.2196/jmir.1858

  • Knoll N, Scholz U, Rieckmann N (2005) Einführung in die Gesundheitspsychologie. Reinhardt, München

    Google Scholar 

  • Kok G, Schaalma H, Ruiter RAC, Van Empelen P, Brug J (2004) Intervention mapping: a protocol for applying health psychology theory to prevention programmes. J Health Psychol 9:85–98. https://doi.org/10.1177/1359105304038379

    Article  Google Scholar 

  • Lally P, van Jaarsveld CHM, Potts HWW, Wardle J (2010) How are habits formed: modelling habit formation in the real world. Eur J Soc Psychol 40:998–1009. https://doi.org/10.1002/ejsp.674

    Article  Google Scholar 

  • Lanata A, Valenza G, Nardelli M, Gentili C, Scilingo EP (2015) Complexity index from a personalized wearable monitoring system for assessing remission in mental health. IEEE J Biomed Health Inform 19:132–139. https://doi.org/10.1109/JBHI.2014.2360711

    Article  Google Scholar 

  • Längkvist M, Karlsson L, Loutfi A (2014) A review of unsupervised feature learning and deep learning for time-series modeling. Pattern Recogn Lett 42:11–24. https://doi.org/10.1016/J.PATREC.2014.01.008

    Article  Google Scholar 

  • Lembcke TB, Engelbrecht N, Brendel AB, Herrenkind B, Kolbe LM (2019) Towards a unified understanding of digital nudging by addressing its analog roots. In: PACIS, p 123

    Google Scholar 

  • Lin J, Paganini S, Sander L, Lüking M, Ebert DD, Buhrman M, Andersson G, Baumeister H (2017) An internet-based intervention for chronic pain: a three-arm randomized controlled study of effectiveness of guided and unguided acceptance and commitment therapy. Deutsches Aerzteblatt Int 114:681–688. https://doi.org/10.3238/arztebl.2017.0681

    Article  Google Scholar 

  • Ludden G, Van Rompay T, Van Gemert-Pijnen J (2015) How to increase reach and adherence of web-based interventions: a design research viewpoint. J Med Internet Res 17:e172. https://doi.org/10.2196/jmir.4201

    Article  Google Scholar 

  • Matz SC, Kosinski M, Nave G, Stillwell DJ (2017) Psychological targeting as an effective approach to digital mass persuasion. Proc Natl Acad Sci 114:12714–12719

    Article  Google Scholar 

  • McDade-Montez E, Cvengros J, Christensen A (2007) Persönlichkeitseigenschaften und Unterschiede. In: Kerr J, Weitkunat R, Moretti M (eds) ABC der Verhaltensänderung: Der Leitfaden für erfolgreiche Prävention und Gesundheitsförderung. Urban & Fischer, München, pp 60–74

    Google Scholar 

  • Meske C, Amojo I (2020) Ethical guidelines fort he construction of digital nudges. In: Proceedings 53rd Hawaii international conference on system sciences, pp 3928–3937

    Google Scholar 

  • Miotto R, Danieletto M, Scelza JR, Kidd BA, Dudley JT (2018) Reflecting health: smart mirrors for personalized medicine. Npj Dig Med 1(62). https://doi.org/10.1038/s41746-018-0068-7

  • Mirsch T, Lehrer C, Jung R (2017) Digital nudging: altering user behavior in digital environments. In: Proceedings 13. Internationale Tagung Wirtschaftsinformatik (WI 2017), pp 634–648

    Google Scholar 

  • Mirsch T, Lehrer C, Jung R (2018) Making digital nudging applicable: the digital nudge design method. In: Proceedings of the 39th international conference on information systems (ICIS). Association for Information Systems. AIS Electronic Library (AISeL)

    Google Scholar 

  • Montag C, Baumeister H, Kannen C, Sariyska R, Meßner E-M, Brand M (2019) Concept, possibilities and pilot-testing of a new smartphone application for the social and life sciences to study human behavior including validation data from personality psychology. Multi Sci J 2:102–115. https://doi.org/10.3390/j2020008

    Article  Google Scholar 

  • Muench F, Baumel A (2017) More than a text message: dismantling digital triggers to curate behavior change in patient-centered health interventions. J Med Internet Res 19:e147. https://doi.org/10.2196/jmir.7463

    Article  Google Scholar 

  • Mylonopoulou V, Väyrynen K, Stibe A, Isomursu M (2018 Rationale behind socially influencing design choices for health behavior change. In: Ham J, Karapanos E, Morita PP, Burns CM (eds) Persuasive technology. Springer, Cham, pp 147–159. https://doi.org/10.1007/978-3-319-78978-1_12

  • Naslund JA, Kim SJ, Aschbrenner KA, Mcculloch LJ, Brunette MF, Dallery J, … Marsch LA (2017) Systematic review of social media interventions for smoking cessation. Addict Behav 73:81–93.https://doi.org/10.1016/j.addbeh.2017.05.002

  • Oinas-Kukkonen H, Harjumaa M (2009) Persuasive systems design: key issues, process model, and system features. Commun Assoc Inf Syst 24:485–500. https://doi.org/10.17705/1CAIS.02428

  • Orji R, Moffatt K (2018) Persuasive technology for health and wellness: state-of-the-art and emerging trends. Health Informatics J 24:66–91. https://doi.org/10.1177/1460458216650979

    Article  Google Scholar 

  • Perski O, Blandford A, West R, Michie S (2017) Conceptualising engagement with digital behaviour change interventions: a systematic review using principles from critical interpretive synthesis. Trans Behav Med 7:254–267. https://doi.org/10.1007/s13142-016-0453-1

    Article  Google Scholar 

  • Prochaska JO, Velicer WF (1997) The transtheoretical model of health behavior change. Am J Health Promot 12:38–48. https://doi.org/10.4278/0890-1171-12.1.38

    Article  Google Scholar 

  • Rathner E-M, Djamali J, Terhorst Y, Schuller B, Cummins N, Salamon G, … Baumeister H (2018a) How did you like 2017? Detection of language markers of depression and narcissism in personal narratives. Interspeech 3388–3392. https://doi.org/10.21437/Interspeech.2018-2040

  • Rathner E-M, Terhorst Y, Cummins N, Schuller B, Baumeister H (2018b). State of mind: classification through self-reported affect and word use in speech. Interspeech 2018b:267–271. https://doi.org/10.21437/Interspeech.2018-2043

  • Reddy V, Bushree B, Chong M, Law M, Thirani M, Yan M, … Joshi A (2018) Influencing participant behavior through a notification-based recommendation system. In: Ham J, Karapanos E, Morita PP, Burns CM (eds) Persuasive technology. Springer, Cham, pp 113–119. https://doi.org/10.1007/978-3-319-78978-1_9

  • Renneberg B, Hammelstein P (2006) Gesundheitspsychologie. Springer Medizin, Heidelberg

    Book  Google Scholar 

  • Riley WT, Rivera DE, Atienza AA, Nilsen W, Allison SM, Mermelstein R (2011) Health behavior models in the age of mobile interventions: are our theories up to the task? Trans Behav Med 1:53–71. https://doi.org/10.1007/s13142-011-0021-7

    Article  Google Scholar 

  • Roberts BW, Walton KE, Bogg T (2005) Conscientiousness and health across the life course. Rev Gen Psychol 9:156–168. https://doi.org/10.1037/1089-2680.9.2.156

    Article  Google Scholar 

  • Ryan RM, Lynch MF, Vansteenkiste M, Deci EL (2011) Motivation and autonomy in counseling, psychotherapy, and behavior change: a look at theory and practice. Couns Psychol 39:193–260. https://doi.org/10.1177/0011000009359313

    Article  Google Scholar 

  • Sander LB, Paganini S, Terhorst Y, Schlicker S, Lin J, Spanhel K, Buntrock C, Ebert DD, Baumeister H (2020) Effectiveness of a guided web-based self-help intervention to prevent depression in patients with persistent back pain: the PROD-BP randomized clinical trial. JAMA Psychiatry e201021. https://doi.org/10.1001/jamapsychiatry.2020.1021

  • Sariyska R, Reuter M, Bey K, Sha P, Li M, Chen YF, Liu W-Y, Zhu Y-K, Li C-B, Suárez-Rivillas A, Feldmann M, Hellmann M, Keiper J, Markett S, Young KS, Montag C (2014) Self-esteem, personality and Internet addiction: a cross-cultural comparison study. Personality Individ Differ 61–62:28–33. https://doi.org/10.1016/j.paid.2014.01.001

    Article  Google Scholar 

  • Schneider C, Weinmann M, Vom Brocke J (2018) Digital nudging: guiding online user choices through interface design. Commun ACM 61(7):67–73

    Article  Google Scholar 

  • Schwarzer R (2004) Psychologie des Gesundheitsverhaltens. Einführung in die Gesundheitspsychologie. Hogrefe, Göttingen

    Google Scholar 

  • Schwarzer R (2008) Modeling health behavior change: how to predict and modify the adoption and maintenance of health behaviors. Appl Psychol Int Rev 57:1–29. https://doi.org/10.1111/j.1464-0597.2007.00325.x

    Article  Google Scholar 

  • Sheeran P, Webb TL (2016) The intention-behaviour gap. Soc Pers Psychol Compass 10:503–518. https://doi.org/10.1111/spc3.12265

    Article  Google Scholar 

  • Sheeran P, Maki A, Montanaro E, Avishai-Yitshak A, Bryan A, Klein WM, Miles E, Rothman AJ (2016) The impact of changing attitudes, norms, or self-efficacy on health intentions and behavior: a meta-analysis. Health Psychol 35:1178–1188. https://doi.org/10.1037/hea0000387

  • Singh K, Drouin K, Newmark LP, Jae HL, Faxvaag A, Rozenblum R, Pabo EA, Landman A, Klinger E, Bates DW (2016) Many mobile health apps target high-need, high-cost populations, but gaps remain. Health Aff 35:2310–2318. https://doi.org/10.1377/hlthaff.2016.0578

    Article  Google Scholar 

  • Sniehotta FF, Schwarzer R, Scholz U, Schüz B (2005) Action planning and coping planning for long-term lifestyle change: theory and assessment. Eur J Soc Psychol 35:565–576. https://doi.org/10.1002/ejsp.258

    Article  Google Scholar 

  • Spelt H, Westerink J, Ham J, IJsselsteijn W (2018) Cardiovascular reactions during exposure to persuasion principles. In: Ham J, Karapanos E, Morita PP, Burns CM (eds) Persuasive technology. Springer, Cham, pp 267–278. https://doi.org/10.1007/978-3-319-78978-1_22

  • Sutton S (2008) How does the Health Action Process Approach (HAPA) bridge the intention-behavior gap? An examination of the model’s causal structure. Appl Psychol Int Rev 57:66–74. https://doi.org/10.1111/j.1464-0597.2007.00326.x

    Article  Google Scholar 

  • Tikka P, Laitinen M, Manninen I, Oinas-Kukkonen H (2018) Reflection trough gaming: reinforcing health message response through gamified rehearsal. In: Ham J, Karapanos E, Morita PP, Burns CM (eds) Persuasive technology. Springer, Cham, pp 200–212. https://doi.org/10.1007/978-3-319-01583-5_56

  • Van Ballegooijen W, Cuijpers P, Van Straten A, Karyotaki E, Andersson G, Smit JH, Riper H (2014) Adherence to internet-based and face-to-face cognitive behavioural therapy for depression: a meta-analysis. PLoS ONE 9:e100674. https://doi.org/10.1371/journal.pone.0100674

    Article  Google Scholar 

  • Venkatesh V, Morris MG, Davis GB, Davis FD (2003) User acceptance of information technology: toward a unified view. MIS Q 27:425–478. https://doi.org/10.2307/30036540

    Article  Google Scholar 

  • Wais-Zechmann B, Gattol V, Neureiter K, Orji R, Tscheligi M (2018) Persuasive technology to support chronic health conditions: investigating the optimal persuasive strategies for persons with COPD. In: Ham J, Karapanos E, Morita PP, Burns CM (eds) Persuasive technology. Springer, Cham, pp 255–266. https://doi.org/10.1007/978-3-319-78978-1_21

  • Wangberg SC, Bergmo TS, Johnsen J-AK (2008) Adherence in internet-based interventions. Patient Prefer Adherence 2:57–65

    Google Scholar 

  • Wunsch M, Stibe A, Millonig A, Seer S, Dai C, Schechtner K, Chin RCC (2015) What makes you bike? Exploring persuasive strategies to encourage low-energy mobility. In: MacTavish T, Basapur S (eds) Persuasive technology. Springer, Cham, pp 53–64. https://doi.org/10.1007/978-3-319-20306-5

  • Zarouali B, Dobber T, De Pauw G, de Vreese C (2020) Using a personality-profiling algorithm to investigate political microtargeting: assessing the persuasion effects of personality-tailored ads on social media. Commun Res 0093650220961965

    Google Scholar 

  • Zhang C-Q, Zhang R, Schwarzer R, Hagger MS (2019) A meta-analysis of the Health Action Process Approach. Health Psychol. https://doi.org/10.31234/osf.io/4pc27

  • Zhu J (2004) Understanding volition. Philos Psychol 17(2):247–273. https://doi.org/10.1080/0951508042000239066

    Article  Google Scholar 

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Baumeister, H., Kraft, R., Baumel, A., Pryss, R., Messner, EM. (2023). Persuasive e-Health Design for Behavior Change. In: Montag, C., Baumeister, H. (eds) Digital Phenotyping and Mobile Sensing. Studies in Neuroscience, Psychology and Behavioral Economics. Springer, Cham. https://doi.org/10.1007/978-3-030-98546-2_20

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