SLOWBot (chatbot) Lifestyle Assistant
Author:
Affiliation:
1. Fondazione Bruno Kessler, Trento, Italy
2. iaso health, Sydney, Australia
3. iaso health, Barcelona, Spain
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3240925.3240953
Reference11 articles.
1. 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. 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.
2. Sherry Pagoto Kristin Schneider Mirjana Jojic Michele DeBiasse Devin Mann Evidence-Based Strategies in Weight-Loss Mobile Apps. Sherry Pagoto Kristin Schneider Mirjana Jojic Michele DeBiasse Devin Mann Evidence-Based Strategies in Weight-Loss Mobile Apps.
3. David E. Conroy Chih-Hsiang Yang Jaclyn P. Maher. Behavior Change Techniques in Top-Ranked Mobile Apps for Physical Activity David E. Conroy Chih-Hsiang Yang Jaclyn P. Maher. Behavior Change Techniques in Top-Ranked Mobile Apps for Physical Activity
4. 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 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
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