StepUp Forecast: Predicting Future to Promote Walking

Miyake, Asuka; Takahashi, Masami; Hashimoto, Ryota; Nakatani, Momoko

doi:10.1145/3447526.3472020

Cited by 5 publications

(3 citation statements)

References 18 publications

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“…Such feedback provides an opportunity for individuals to adjust the level or direction of their effort or to adjust their strategies to match what the goal requires ( 30 ). Prior work showed that a system that facilitates the user’s self-monitoring and provides feedback can effectively increase physical activity ( 32 ) and motivate healthy eating ( 33 ).…”

Section: Designing Mytrack+: Goals and Featuresmentioning

confidence: 99%

“…We aimed to deliver research-oriented questionnaires to collect data necessary for implementing the adaptive weight intervention and enabling further exploration. The ubiquitous nature of mobile devices enables low-effort self-reporting in real-time through ecological momentary assessment (EMA) (31). In mHealth apps, EMA measures (e.g., questionnaires assessing an individual's thoughts, feelings, and behaviors and the context in which these occur) are usually delivered repeatedly over time, in the natural environment (31).…”

Section: Goal 2 (G2): Deliver Necessary Instrumentsmentioning

confidence: 99%

“…The ubiquitous nature of mobile devices enables low-effort self-reporting in real-time through ecological momentary assessment (EMA) (31). In mHealth apps, EMA measures (e.g., questionnaires assessing an individual's thoughts, feelings, and behaviors and the context in which these occur) are usually delivered repeatedly over time, in the natural environment (31). In our case, questionnaires prompt participants to self-rate, on 7-point Likert scales, factors that had been hypothesized previously to be associated with weight regain (28).…”

Section: Goal 2 (G2): Deliver Necessary Instrumentsmentioning

confidence: 99%

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MyTrack+: Human-centered design of an mHealth app to support long-term weight loss maintenance

Chen,

Woodward,

Shankar

et al. 2024

Front. Digit. Health

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A growing body of research has focused on the utility of adaptive intervention models for promoting long-term weight loss maintenance; however, evaluation of these interventions often requires customized smartphone applications. Building such an app from scratch can be resource-intensive. To support a novel clinical trial of an adaptive intervention for weight loss maintenance, we developed a companion app, MyTrack+, to pair with a main commercial app, FatSecret (FS), leveraging a user-centered design process for rapid prototyping and reducing software engineering efforts. MyTrack+ seamlessly integrates data from FS and the BodyTrace smart scale, enabling participants to log and self-monitor their health data, while also incorporating customized questionnaires and timestamps to enhance data collection for the trial. We iteratively refined the app by first developing initial mockups and incorporating feedback from a usability study with 17 university students. We further improved the app based on an in-the-wild pilot study with 33 participants in the target population, emphasizing acceptance, simplicity, customization options, and dual app usage. Our work highlights the potential of using an iterative human-centered design process to build a companion app that complements a commercial app for rapid prototyping, reducing costs, and enabling efficient research progress.

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Section: Designing Mytrack+: Goals and Featuresmentioning

confidence: 99%

Section: Goal 2 (G2): Deliver Necessary Instrumentsmentioning

confidence: 99%