ABSTRACT
SLOWbot is a research project conducted via a collaboration between iaso health and FBK (Fondazione Bruno Kessler). There are now thousands of available healthy aging apps, but most don't deliver on their promise to support a healthy aging process in people that need it the most. The neediest include the over-fifties age group, particularly those wanting to prevent the diseases of aging or whom already have a chronic disease. Even the motivated "quantified selfers" discard their health apps after only a few months. Our research aims to identify new ways to ensure adherence to a healthy lifestyle program tailored for an over fifties audience which is delivered by a chatbot. The research covers the participant onboarding process and examines barriers and issues with gathering predictive data that might inform future improved uptake and adherence as well as an increase in health literacy by the participants. The healthy lifestyle program will ultimately be delivered by our "SLOWbot" which guides the participant to make informed and enhanced health decision making, specifically around food choices (a "longevity eating plan").
- Brian Yoshio Laing, Carol M. Mangione, Chi-Hong Tseng, Mei Leng, Ekaterina Vaisberg, Megha Mahida, Michelle Bholat, Eve Glazier, Donald E. Morisky, Douglas S. Bell, Effectiveness of a Smartphone Application for Weight Loss Compared With Usual Care in Overweight Primary Care Patients: A Randomized, Controlled Trial, Ann Intern Med. 2014 Nov 18; 161(10 0): S5-12.Google Scholar
- Sherry Pagoto, Kristin Schneider, Mirjana Jojic, Michele DeBiasse, Devin Mann, Evidence-Based Strategies in Weight-Loss Mobile Apps.Google Scholar
- David E. Conroy, Chih-Hsiang Yang, Jaclyn P. Maher. Behavior Change Techniques in Top-Ranked Mobile Apps for Physical ActivityGoogle Scholar
- Katrina J. Serrano, Kisha I. Coa, Mandi Yu, PhD Dana L. Wolff-Hughes, Audie A. Atienza, Characterizing user engagement with health app data: a data mining approach Translational Behavioral Medicine, Volume 7, Issue 2, 1 June 2017, Pages 277--285,Google Scholar
- Jing Zhao, Becky Freeman, Mu Li, Can Mobile Phone Apps Influence People's Health Behavior Change? An Evidence Review, J Med Internet Res. 2016 Nov; 18(11): e287.Google Scholar
- Kathryn R. Middleton, Stephen D. Anton, and Michal G. Perri, Long-Term Adherence to Health Behavior Change, Am J Lifestyle Med. 2013 Nov-Dec; 7(6): 395--404.Google Scholar
- Nancy D. Berkman, Stacey L. Sheridan, Katrina E. Donahue, David J. Halpern, Karen Crotty, Low Health Literacy and Health Outcomes: An Updated Systematic Review, Ann Intern Med. 2011;155(2):97--107.Google Scholar
- Eileen T Kennedy, Evidence for nutritional benefits in prolonging wellness, The American Journal of Clinical Nutrition, Volume 83, Issue 2, 1 February 2006, Pages 410S-414S.Google ScholarCross Ref
- Neil Chesanow; BJ Fogg, PhD Can Health Apps Help Patients Change Their Behavior? https://www.medscape.com/viewarticle/806734 @_CHINOSAUR. 2014. VENUE IS TOO COLD. #BINGO #CHI2016. Tweet. (1 May, 2014). Retrieved February 2, 2014 from https://twitter.com/_CHINOSAUR/status/461864317415989248Google Scholar
- Bailoni Tania, Dragoni Mauro, Eccher Claudio, Guerini Marco, Maimone Rosa, 2016. PerKApp: A context aware motivational system for healthier lifestyles, Proceedings of Smart Cities Conference (ISC2), 2016 IEEE International, 2016, pp. 1--4, (Smart Cities Conference (ISC2), 2016 IEEE International, Trento, 12-15 Sept. 2016)Google Scholar
- Ruth E. Patterson, Gail A. Laughlin, Andrea Z. LaCroix, Sheri J. Hartman, Loki Natarajan, Carolyn M. Senger, María Elena Martínez, Adriana Villaseñor, Dorothy D. Sears, Catherine R. Marinac, Linda C. Gallo, Intermittent Fasting and Human Metabolic Health, J Acad Nutr Diet. 2015 Aug; 115(8): 1203--1212.Google Scholar
Index Terms
- SLOWBot (chatbot) Lifestyle Assistant
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