Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/106677
DC Field | Value | Language |
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dc.contributor | School of Design | - |
dc.creator | Zhu, Y | - |
dc.creator | Long, Y | - |
dc.creator | Wang, H | - |
dc.creator | Lee, KP | - |
dc.creator | Zhang, L | - |
dc.creator | Wang, SJ | - |
dc.date.accessioned | 2024-06-03T02:10:06Z | - |
dc.date.available | 2024-06-03T02:10:06Z | - |
dc.identifier.issn | 1439-4456 | - |
dc.identifier.uri | http://hdl.handle.net/10397/106677 | - |
dc.language.iso | en | en_US |
dc.publisher | JMIR Publications, Inc. | en_US |
dc.rights | ©Yujie Zhu, Yonghao Long, Hailiang Wang, Kun Pyo Lee, Lie Zhang, Stephen Jia Wang. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 24.05.2024. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included. | en_US |
dc.rights | The following publication Zhu Y, Long Y, Wang H, Lee K, Zhang L, Wang S. Digital Behavior Change Intervention Designs for Habit Formation: Systematic Review. J Med Internet Res 2024;26:e54375 is available at https://www.jmir.org/2024/1/e54375. | en_US |
dc.subject | Behavior change techniques | en_US |
dc.subject | Digital behavior change interventions design | en_US |
dc.subject | Digital health | en_US |
dc.subject | Habit formation | en_US |
dc.subject | Mobile phone | en_US |
dc.subject | Physical activity | en_US |
dc.title | Digital behavior change intervention designs for habit formation : systematic review | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.volume | 26 | - |
dc.identifier.doi | 10.2196/54375 | - |
dcterms.abstract | Background: With the development of emerging technologies, digital behavior change interventions (DBCIs) help to maintain regular physical activity in daily life. | - |
dcterms.abstract | Objective: To comprehensively understand the design implementations of habit formation techniques in current DBCIs, a systematic review was conducted to investigate the implementations of behavior change techniques, types of habit formation techniques, and design strategies in current DBCIs. | - |
dcterms.abstract | Methods: The process of this review followed the PRISMA (Preferred Reporting Item for Systematic Reviews and Meta-Analyses) guidelines. A total of 4 databases were systematically searched from 2012 to 2022, which included Web of Science, Scopus, ACM Digital Library, and PubMed. The inclusion criteria encompassed studies that used digital tools for physical activity, examined behavior change intervention techniques, and were written in English. | - |
dcterms.abstract | Results: A total of 41 identified research articles were included in this review. The results show that the most applied behavior change techniques were the self-monitoring of behavior, goal setting, and prompts and cues. Moreover, habit formation techniques were identified and developed based on intentions, cues, and positive reinforcement. Commonly used methods included automatic monitoring, descriptive feedback, general guidelines, self-set goals, time-based cues, and virtual rewards. | - |
dcterms.abstract | Conclusions: A total of 32 commonly design strategies of habit formation techniques were summarized and mapped to the proposed conceptual framework, which was categorized into target-mediated (generalization and personalization) and technology-mediated interactions (explicitness and implicitness). Most of the existing studies use the explicit interaction, aligning with the personalized habit formation techniques in the design strategies of DBCIs. However, implicit interaction design strategies are lacking in the reviewed studies. The proposed conceptual framework and potential solutions can serve as guidelines for designing strategies aimed at habit formation within DBCIs. | - |
dcterms.accessRights | Open access | en_US |
dcterms.bibliographicCitation | Journal of medical internet research, 2024, v. 26, e54375 | - |
dcterms.isPartOf | Journal of medical internet research | - |
dcterms.issued | 2024 | - |
dc.identifier.eissn | 1438-8871 | - |
dc.identifier.artn | e54375 | - |
dc.description.validate | 202405 bcch | - |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_Others | en_US |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | Laboratory for Artificial Intelligence in Design, InnoHK Research Clusters, Hong Kong Special Administrative Region Government; Projects of Strategic Importance; Research Centre for Future (Caring) Mobility, The Hong Kong Polytechnic University | en_US |
dc.description.pubStatus | Published | en_US |
dc.description.oaCategory | Others | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
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jmir-2024-1-e54375.pdf | 1.64 MB | Adobe PDF | View/Open |
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