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Related Experiment Video

Updated: Jul 11, 2025

Control of Eating Behavior Using a Novel Feedback System

Control of Eating Behavior Using a Novel Feedback System

Published on: May 8, 2018

Automated Messaging Delivered Alongside Behavioral Treatment for Weight Loss: Qualitative Study.

Michael Berry¹, Lauren Taylor^1,2, Zhuoran Huang²

¹Department of Psychological and Brain Sciences, Drexel University, Philadelphia, PA, United States.

JMIR Formative Research

|November 6, 2023

Summary

This summary is machine-generated.

Automated messages in weight loss interventions were moderately accepted but often failed to capture users' personal experiences, limiting their effectiveness. Future interventions need more tailored messaging for better engagement.

Keywords:

intervention lifestyle modification mHealth messaging mobile health mobile health technology obesity overweight qualitative tailored messaging thematic analysis weight loss

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Validation of a Psychosocial Intervention on Body Image in Older People: An Experimental Design

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Published on: May 31, 2021

Area of Science:

Digital Health
Behavioral Science
Obesity Research

Background:

Automated messaging is common in mobile health (mHealth) for weight loss.
Current mHealth interventions show limited weight loss efficacy.
Limited data exists on user experiences with automated messaging, especially tailored feedback systems.

Purpose of the Study:

To explore the subjective experiences of individuals with overweight or obesity using automated messages in a weight loss trial.
To assess user feedback on automated messaging acceptability and identify areas for improvement.

Main Methods:

40 participants with overweight/obesity received automated messages for 6-12 months.
Participants provided Likert-scale ratings on message acceptability.
39 participants completed qualitative interviews analyzed via thematic analysis.

Main Results:

Message acceptability was moderate (2.67/5).
Messages were most useful for summarizing goal progress, least for new strategies.
Participants felt messages didn't capture their lived weight loss experiences, despite reminding them of goals.

Conclusions:

Automated messages were perceived as insufficiently tailored to individual weight loss journeys.
Future research should focus on enhancing message tailoring through increased participant input and interactivity.
Improved tailoring may increase engagement and efficacy in digital weight loss interventions.