How Effective is Personalization in Persuasive Interventions for Reducing Sedentary Behavior and Promoting Physical Activity: A Systematic Review

The use of persuasive systems and devices to reduce sedentary lifestyles and encourage individuals to be more physically active is progressively gaining interest. This paper presents a 13 years review (from 2006 to 2019) of personalized persuasive technologies (PTs) for promoting physical activity (PA) and discouraging sedentary behavior (SB). Moreover, we deconstructed the various implementations and operationalizations of the personalization in these PTs and compared their effectiveness. Specifically, this paper aims to (1) shed light on the multiple ways of implementing personalization in these PTs to promote PA and reducing SB, (2) evaluate the effectiveness of personalized PTs for promoting PA and decreasing SB, (3) highlight trends and offer suggestions for research in the area of personalizing PTs.

[1]  Qian He,et al.  On11: an activity recommendation application to mitigate sedentary lifestyle , 2014, WPA@MobiSys.

[2]  Laura D. Ellingson,et al.  Sedentary Behavior Research Network (SBRN) – Terminology Consensus Project process and outcome , 2017, International Journal of Behavioral Nutrition and Physical Activity.

[3]  Georg Groh,et al.  Study on Motivating Physical Activity in Children with Personalized Gamified Feedback , 2018, UMAP.

[4]  Tiago Oliveira,et al.  PersonalFit: Fitness App with intelligent plan generator , 2016, C3S2E.

[5]  Antonio Krüger,et al.  Extending a Gamified Mobile App with a Public Display to Encourage Walking , 2018, MindTrek.

[6]  Kevin Bouchard,et al.  Development of an Exergame on Mobile Phones to Increase Physical Activity for Adults with Severe Mental Illness , 2018, PETRA.

[7]  M. Jetté,et al.  Metabolic equivalents (METS) in exercise testing, exercise prescription, and evaluation of functional capacity , 1990, Clinical cardiology.

[8]  Maarit Kangas,et al.  Persuasive health and wellbeing application: A theory-driven design in promoting physical activity , 2016, 2016 International Conference on Medical Engineering, Health Informatics and Technology (MediTec).

[9]  Jingwen Zhang,et al.  Mobile App-Based Small-Group Physical Activity Intervention for Young African American Women: a Pilot Randomized Controlled Trial , 2019, Prevention Science.

[10]  John Newell,et al.  SMART MOVE - a smartphone-based intervention to promote physical activity in primary care: study protocol for a randomized controlled trial , 2013, Trials.

[11]  A. Bauman,et al.  Too much sitting: a novel and important predictor of chronic disease risk? , 2008, British Journal of Sports Medicine.

[12]  Tammy Toscos,et al.  Chick clique: persuasive technology to motivate teenage girls to exercise , 2006, CHI Extended Abstracts.

[13]  Patrick C. Shih,et al.  Puzzle Walk: A Gamified Mobile App to Increase Physical Activity in Adults with Autism Spectrum Disorder , 2018, 2018 10th International Conference on Virtual Worlds and Games for Serious Applications (VS-Games).

[14]  Harry J. P. Timmermans,et al.  Motivate: Towards context-aware recommendation mobile system for healthy living , 2011, 2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops.

[15]  Rita Orji,et al.  Why Are Persuasive Strategies Effective? Exploring the Strengths and Weaknesses of Socially-Oriented Persuasive Strategies , 2017, PERSUASIVE.

[16]  L MandrykRegan,et al.  Developing culturally relevant design guidelines for encouraging healthy eating behavior , 2014 .

[17]  Thar Baker,et al.  Alert me: Enhancing active lifestyle via observing sedentary behavior using mobile sensing systems , 2017, 2017 IEEE 19th International Conference on e-Health Networking, Applications and Services (Healthcom).

[18]  Rita Orji,et al.  Persuasive technology for health and wellness: State-of-the-art and emerging trends , 2018, Health Informatics J..

[19]  Kay Connelly,et al.  Text messages for encouraging physical activity Are they effective after the novelty effect wears off? , 2012, 2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops.

[20]  Daphne Economou,et al.  PhytoCloud: A Gamified Mobile Web Application to Modulate Diet and Physical Activity of Women with Breast Cancer , 2017, 2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS).

[21]  Michel C. A. Klein,et al.  Active2Gether: A Personalized m-Health Intervention to Encourage Physical Activity , 2017, Sensors.

[22]  Sri Hastuti Kurniawan,et al.  Mobile system to motivate teenagers' physical activity , 2010, IDC.

[23]  Tammy Toscos,et al.  Encouraging physical activity in teens Can technology help reduce barriers to physical activity in adolescent girls? , 2008, 2008 Second International Conference on Pervasive Computing Technologies for Healthcare.

[24]  Karina Caro,et al.  Bounce: Designing a Physical Activity Intervention for Breast Cancer Survivors , 2018, PervasiveHealth.

[25]  Corby K. Martin,et al.  Smartloss: A Personalized Mobile Health Intervention for Weight Management and Health Promotion , 2016, JMIR mHealth and uHealth.

[26]  Harald Reiterer,et al.  Persuasive Technology in Reducing Prolonged Sedentary Behavior at Work: A Systematic Review , 2017, Smart Health.

[27]  Regan L. Mandryk,et al.  PiNiZoRo: a GPS-based exercise game for families , 2010, Future Play.

[28]  B. J. Fogg,et al.  Persuasive computers: perspectives and research directions , 1998, CHI.

[29]  Alistair A. Young,et al.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , 2017, MICCAI 2017.

[30]  Deborah Estrin,et al.  ohmage: An open mobile system for activity and experience sampling , 2012, 2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops.

[31]  Kiemute Oyibo,et al.  The Influence of Culture in the Effect of Age and Gender on Social Influence in Persuasive Technology , 2017, UMAP.

[32]  Andrew T. Campbell,et al.  BeWell: Sensing Sleep, Physical Activities and Social Interactions to Promote Wellbeing , 2014, Mobile Networks and Applications.

[33]  Nazlena Mohamad Ali,et al.  Designing persuasive application to encourage physical activity at workplace among older workers , 2016, 2016 Sixth International Conference on Digital Information and Communication Technology and its Applications (DICTAP).

[34]  Julita Vassileva,et al.  Tailoring persuasive health games to gamer type , 2013, CHI.

[35]  Rita Orji,et al.  Apps for Mental Health: An Evaluation of Behavior Change Strategies and Recommendations for Future Development , 2019, Front. Artif. Intell..

[36]  Chiraphruet Mansart,et al.  Go Run Go: An Android Game-Story Application for Aiding Motivation to Exercise , 2015, 2015 IEEE International Symposium on Multimedia (ISM).

[37]  Boris E. R. de Ruyter,et al.  Enhancing physical activity through context-aware coaching , 2018, PervasiveHealth.

[38]  Kiemute Oyibo,et al.  BEN'FIT: Design, Implementation and Evaluation of a Culture-Tailored Fitness App , 2019, UMAP.

[39]  Julita Vassileva,et al.  Improving the Efficacy of Games for Change Using Personalization Models , 2017, ACM Trans. Comput. Hum. Interact..

[40]  Daniel Avrahami,et al.  BreakSense: Combining Physiological and Location Sensing to Promote Mobility during Work-Breaks , 2017, CHI.

[41]  Jeun Woo Lee,et al.  UP health: ubiquitously persuasive health promotion with an instant messaging system , 2007, CHI Extended Abstracts.

[42]  Rita Orji,et al.  Personalizing Persuasive Strategies in Gameful Systems to Gamification User Types , 2018, CHI.

[43]  Harri Oinas-Kukkonen,et al.  Persuasive Systems Design: Key Issues, Process Model, and System Features , 2009, Commun. Assoc. Inf. Syst..

[44]  Siobhan McMahon,et al.  Mobile computer application for promoting physical activity. , 2013, Journal of gerontological nursing.

[45]  Genevieve N Healy,et al.  Prolonged sitting: is it a distinct coronary heart disease risk factor? , 2011, Current opinion in cardiology.

[46]  Atreyi Kankanhalli,et al.  User Models for Personalized Physical Activity Interventions: Scoping Review , 2019, JMIR mHealth and uHealth.

[47]  Iraklis Varlamis,et al.  PRO-Fit: Exercise with friends , 2016, 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

[48]  Sarah Justine Guy Skriloff,et al.  FitPlay Games: Increasing Exercise Motivation Through Asynchronous Social Gaming , 2016, CHI Extended Abstracts.

[49]  Rita Orji,et al.  How Effective Are Social Influence Strategies in Persuasive Apps for Promoting Physical Activity?: A Systematic Review , 2019, UMAP.

[50]  Yan Hong,et al.  Designing iCanFit: A Mobile-Enabled Web Application to Promote Physical Activity for Older Cancer Survivors , 2013, JMIR research protocols.

[51]  Jie Gao,et al.  Active 10: Brisk Walking to Support Regular Physical Activity , 2019, PervasiveHealth.

[52]  Srinivas Sampalli,et al.  Trends in Persuasive Technologies for Physical Activity and Sedentary Behavior: A Systematic Review , 2020, Frontiers in Artificial Intelligence.

[53]  Jerry Alan Fails,et al.  KidLED: A colorful approach to children's activity awareness , 2019, IDC.

[54]  Chrysanne Di Marco,et al.  Towards Personality-driven Persuasive Health Games and Gamified Systems , 2017, CHI.

[55]  Ben Kirman,et al.  Motivating physical activity at work: using persuasive social media for competitive step counting , 2010, MindTrek.

[56]  Luca Chittaro,et al.  Turning the Classic Snake Mobile Game into a Location-Based Exergame that Encourages Walking , 2012, PERSUASIVE.