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This study presents the design and development of a credible, evidence-based nutrition tracking system grounded in the Design Science Research (DSR) and Persuasive Systems Design (PSD) frameworks. Drawing on insights from large-scale user reviews and established nutrition science, the research integrates Australia’s official dietary standards, the Australian Dietary Guidelines (ADG), Nutrient Reference Values (NRV), and the national food composition database to enhance feedback interpretability, behavioural guidance, and potential clinical credibility. The system architecture combines voice-enabled meal logging, semantic food matching, and ADG/NRV-aligned analytics to provide persuasive, guideline-driven feedback while minimising logging effort. The study contributes a replicable methodological approach for translating evidence-based nutrition frameworks and persuasive systems design into practical, user-centred mHealth applications.

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Developing a Persuasive Nutrition App Based on the Australian Dietary Guidelines

  • 会议论文

  • 发表日期：

    2026年

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  • Joohyun Lee,
  • Elizabeth Neale,
  • Khin Than Win

摘要

This study presents the design and development of a credible, evidence-based nutrition tracking system grounded in the Design Science Research (DSR) and Persuasive Systems Design (PSD) frameworks. Drawing on insights from large-scale user reviews and established nutrition science, the research integrates Australia’s official dietary standards, the Australian Dietary Guidelines (ADG), Nutrient Reference Values (NRV), and the national food composition database to enhance feedback interpretability, behavioural guidance, and potential clinical credibility. The system architecture combines voice-enabled meal logging, semantic food matching, and ADG/NRV-aligned analytics to provide persuasive, guideline-driven feedback while minimising logging effort. The study contributes a replicable methodological approach for translating evidence-based nutrition frameworks and persuasive systems design into practical, user-centred mHealth applications.