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Information Presentation Methods for Setting Achievable and Meaningful Goals on Fitness Apps

Published: 07 September 2022 Publication History

Abstract

Exercise beginners often use recommender systems, such as fitness apps, to form new exercise habits. However, it is difficult for individuals with little training experience to estimate the costs and benefits of the recommended exercise goals and to set appropriate goals for themselves. In this paper, we propose several information presentation methods for recommender systems in the health field to help users accurately estimate the costs and benefits of their exercise goals. Based on Atkinson’s theory of achievement motivation, we designed three of information, – the amount of effort required to achieve a goal, the degree to which the goal is achievable, and the benefits obtained from achieving the goal – to encourage users to set effective goals and establish exercise habits. To determine how the proposed methods affect users’ motivation to exercise, we conducted an online user study using a Japanese crowdsourcing service. The results suggest that the proposed methods have the potential to motivate users to exercise and promote realistic goal-setting. The findings of this study contribute to the design of exercise goal–setting support systems tailored to individual users.

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      cover image ACM Conferences
      GoodIT '22: Proceedings of the 2022 ACM Conference on Information Technology for Social Good
      September 2022
      436 pages
      ISBN:9781450392846
      DOI:10.1145/3524458
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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      Published: 07 September 2022

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      Author Tags

      1. UI/UX
      2. behavior change
      3. explainability of recommender systems
      4. human factor
      5. motivational theory

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