Your browser doesn't support javascript.
loading
Digital Behavior Change Intervention Designs for Habit Formation: Systematic Review.
Zhu, Yujie; Long, Yonghao; Wang, Hailiang; Lee, Kun Pyo; Zhang, Lie; Wang, Stephen Jia.
Afiliación
  • Zhu Y; School of Design, The Hong Kong Polytechnic University, Hong Kong, China (Hong Kong).
  • Long Y; Laboratory for Artificial Intelligence in Design, Hong Kong Science Park, Hong Kong, China (Hong Kong).
  • Wang H; School of Design, The Hong Kong Polytechnic University, Hong Kong, China (Hong Kong).
  • Lee KP; School of Design, The Hong Kong Polytechnic University, Hong Kong, China (Hong Kong).
  • Zhang L; School of Design, The Hong Kong Polytechnic University, Hong Kong, China (Hong Kong).
  • Wang SJ; Laboratory for Artificial Intelligence in Design, Hong Kong Science Park, Hong Kong, China (Hong Kong).
J Med Internet Res ; 26: e54375, 2024 May 24.
Article en En | MEDLINE | ID: mdl-38787601
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.
Asunto(s)
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Hábitos Límite: Humans Idioma: En Revista: J Med Internet Res Asunto de la revista: INFORMATICA MEDICA Año: 2024 Tipo del documento: Article Pais de publicación: Canadá
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Hábitos Límite: Humans Idioma: En Revista: J Med Internet Res Asunto de la revista: INFORMATICA MEDICA Año: 2024 Tipo del documento: Article Pais de publicación: Canadá