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      Digital Behavior Change Intervention Designs for Habit Formation: Systematic Review

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          Abstract

          Background

          With the development of emerging technologies, digital behavior change interventions (DBCIs) help to maintain regular physical activity in daily life.

          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.

          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.

          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.

          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.

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          Most cited references105

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          Using thematic analysis in psychology

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            Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.

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              The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: building an international consensus for the reporting of behavior change interventions.

              CONSORT guidelines call for precise reporting of behavior change interventions: we need rigorous methods of characterizing active content of interventions with precision and specificity. The objective of this study is to develop an extensive, consensually agreed hierarchically structured taxonomy of techniques [behavior change techniques (BCTs)] used in behavior change interventions. In a Delphi-type exercise, 14 experts rated labels and definitions of 124 BCTs from six published classification systems. Another 18 experts grouped BCTs according to similarity of active ingredients in an open-sort task. Inter-rater agreement amongst six researchers coding 85 intervention descriptions by BCTs was assessed. This resulted in 93 BCTs clustered into 16 groups. Of the 26 BCTs occurring at least five times, 23 had adjusted kappas of 0.60 or above. "BCT taxonomy v1," an extensive taxonomy of 93 consensually agreed, distinct BCTs, offers a step change as a method for specifying interventions, but we anticipate further development and evaluation based on international, interdisciplinary consensus.
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                Author and article information

                Contributors
                Journal
                J Med Internet Res
                J Med Internet Res
                JMIR
                Journal of Medical Internet Research
                JMIR Publications (Toronto, Canada )
                1439-4456
                1438-8871
                2024
                24 May 2024
                : 26
                : e54375
                Affiliations
                [1 ] School of Design, The Hong Kong Polytechnic University Hong Kong China (Hong Kong)
                [2 ] Laboratory for Artificial Intelligence in Design Hong Kong Science Park Hong Kong China (Hong Kong)
                [3 ] Academy of Arts & Design, Tsinghua University Beijing China
                Author notes
                Corresponding Author: Stephen Jia Wang stephen.j.wang@ 123456polyu.edu.hk
                Author information
                https://orcid.org/0000-0002-1886-6705
                https://orcid.org/0000-0003-1808-9579
                https://orcid.org/0000-0002-6668-7947
                https://orcid.org/0000-0001-8873-2983
                https://orcid.org/0009-0009-6496-9885
                https://orcid.org/0000-0001-9835-9932
                Article
                v26i1e54375
                10.2196/54375
                11161714
                38787601
                bac377f5-d445-44b1-9a7f-ad8d920b4874
                ©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.

                History
                : 8 November 2023
                : 26 January 2024
                : 22 March 2024
                : 8 April 2024
                Categories
                Review
                Review

                Medicine
                habit formation,digital health,digital behavior change interventions design,behavior change techniques,physical activity,mobile phone

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