Leveraging Generative Artificial Intelligence in Mobile Health Promotion Programs: A Use Case for Enhancing Tailored Messaging and Engagement in a Mobile Healthy Weight Program
University of North Carolina, Chapel Hill
Summary
The goal of this study is to learn if integrating a chatbot into an existing 12-week smartphone-delivered behavioral weight loss program is feasible and effective for weight loss among young adults. Researchers will compare a standard behavioral weight loss program for young adults that delivers 1-2 brief messages per day (AGILE) to the same program with a chatbot that offers additional behavior change support integrated into the app (AGILE + Chatbot) to determine if the program with the chatbot is feasible, acceptable to participants, and improves program engagement and weight change compared to AGILE alone.
Description
At baseline, 20 young adults, ages 18-39, with overweight or obesity, will be randomized to either the AGILE or AGILE + Chatbot group. Participants in both groups will receive a 12-week mobile behavioral weight loss intervention (AGILE) delivered via the study smartphone application. The weight loss intervention includes weekly evidence-based lessons; personalized goals; self-monitoring of diet, activity, and weight; weekly tailored feedback on progress; and brief, tailored messages 1-2 times per day displayed in the study smartphone app. Participants in the AGILE group will receive no additio…
Eligibility
- Age range
- 18–39 years
- Sex
- All
- Healthy volunteers
- Yes
Inclusion Criteria: * body mass index (BMI) of 25-45 kg/m\^2 * English-speaking and writing * own an iPhone with a data plan * willing to be randomized to either treatment group Exclusion Criteria: * Type 1 diabetes or currently receiving medical treatment for Type 2 diabetes * Other health problems which may influence the ability to walk for physical activity or be associated with unintentional weight change, including tuberculosis, currently receiving cancer treatment, or history of a heart attack or stroke * Report a heart condition, chest pain during periods of activity or rest, or loss…
Interventions
- BehavioralAGILE Intervention
12-week behavioral weight loss intervention that includes daily self-monitoring (tracking) of dietary intake, physical activity, and weight; personalized daily goals for dietary intake and physical activity; weekly behavioral lessons in the study app; weekly tailored feedback on goal progress and weight change; and 1-2 intervention messages per day that are tailored based on current diet, activity, and/or weight progress. Participants receive a Fitbit activity tracker and scale and track their activity and weight in the Fitbit app. Participants use a simplified approach to self-monitoring their dietary intake by tracking 'red' (high calorie) foods in the study's food log smartphone app. This data is used to inform the daily intervention messages and weekly tailored feedback.
- BehavioralChatbot
The AGILE chatbot operates via a trained generative artificial intelligence large language model and offers additional support to participants for making changes in their dietary and physical activity behaviors. The chatbot is available for conversation only after a message has been delivered in the AGILE app. Participants can choose to start a conversation or not, and the ability to start a conversation expires at midnight. The chatbot is able to provide evidence-based cognitive behavioral support to participants including, but not limited to: 1) strategies and tips for dietary self-monitoring, physical activity tracking (wearing the Fitbit), and self-weighing; 2) overcoming common barriers to dietary and physical activity goal achievement; 3) general support for remaining engaged in behavior change efforts during the course of the program.
Location
- University of North Carolina at Chapel HillChapel Hill, North Carolina