Integrating Taxonomies into Theory-Based Digital Health Interventions for Behavior Change: A Holistic Framework

October 20, 2018 Β· Declared Dead Β· πŸ› JMIR Research Protocols

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Authors Yunlong Wang, Ahmed Fadhil, Jan-Philipp Lange, Harald Reiterer arXiv ID 1810.08812 Category cs.HC: Human-Computer Interaction Citations 50 Venue JMIR Research Protocols Last Checked 3 months ago
Abstract
Digital health interventions have been emerging in the last decade. Due to their interdisciplinary nature, digital health interventions are guided and influenced by theories (e.g., behavioral theories, behavior change technologies, persuasive technology) from different research communities. However, digital health interventions are always coded using various taxonomies and reported in insufficient perspectives. The inconsistency and incomprehensiveness will bring difficulty for conducting systematic reviews and sharing contributions among communities. Based on existing related work, therefore, we propose a holistic framework that embeds behavioral theories, behavior change technique (BCT) taxonomy, and persuasive system design (PSD) principles. Including four development steps, two toolboxes, and one workflow, our framework aims to guide digital health intervention developers to design, evaluate, and report their work in a formative and comprehensive way.
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