An expandable approach for design and personalization of digital, just-in-time adaptive interventions.
Suat Gönül,Tuncay Namli,Sasja D Huisman,Gokce Banu Laleci Erturkmen,Ismail Hakki Toroslu,Ahmet Cosar +5 more
TL;DR: A template-based digital intervention design mechanism enabling the configuration of evidence-based, just-in-time, adaptive intervention components and a personalization algorithm capable of adapting intervention delivery strategies for simulated real-life conditions is proposed.
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About: This article is published in Journal of the American Medical Informatics Association. The article was published on 01 Mar 2019. and is currently open access. The article focuses on the topics: Personalization & Psychological intervention.
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Personalized mobile technologies for lifestyle behavior change: a systematic review, meta-analysis, and meta-regression
Huong Ly Tong,Juan C. Quiroz,A. Baki Kocaballi,Sandrine Chan Moi Fat,Kim Phuong Dao,Holly Gehringer,Clara K Chow,Liliana Laranjo,Liliana Laranjo +8 more
TL;DR: The field is in its infancy, with preliminary evidence of the potential efficacy of personalization in improving lifestyle behaviors, but future high-quality studies should investigate the integration of multiple data from different sources and include personalized features other than content.
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Key facets to build up eHealth and mHealth interventions to enhance physical activity, sedentary behavior and nutrition in healthy subjects - an umbrella review.
TL;DR: Findings of this umbrella review support the use of e/mHealth to enhance physical activity and healthy eating and reduce sedentary behavior and the impact of social contexts and more sophisticated approaches like just-in-time adaptive interventions.
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Mara Naegelin,Raphael P Weibel,Jasmine I Kerr,Victor R. Schinazi,Roberto La Marca,Florian von Wangenheim,Christoph Hoelscher,Andrea Ferrario +7 more
TL;DR: In this paper , the authors presented a machine learning methodology for stress detection based on multimodal data collected from unobtrusive sources in an experiment simulating a realistic group office environment (N=90).
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