NCT07382804

Mobile Behavioral Activation Program With Wearable Sensors and Secure Activity Verification

A Mobile-Integrated Behavioral Activation Program Using Wearable Sensor Support and Optional Decentralized Data Verification to Enhance Daily Productivity in Healthy Adults

• Status: Enrolling By Invitation
• Phase: N/A
• Study type: Interventional
• Enrollment: 227,000 (estimated)
• Sponsor: Truway Health, Inc. · Industry
• Sex: All
• Age: 18 Years
• Healthy volunteers: Accepted

Summary

This study evaluates a mobile-integrated behavioral activation program designed to help adults improve their daily productivity, motivation, and task engagement. The program combines a smartphone application, wearable sensor data, and a decentralized data-verification layer to support participants as they build healthier routines and increase consistent daily activity. Behavioral activation is a well-established psychological approach that encourages individuals to take small, structured actions that align with their goals and values. In this study, participants receive daily prompts, activity suggestions, and personalized behavioral tasks through a mobile app. The app uses information from a wearable sensor-such as movement patterns, activity levels, and environmental cues-to help participants track progress and stay engaged with the program. A unique feature of this study is the use of decentralized data verification. Participants' activity logs and task completions are recorded in a secure, tamper-resistant system that allows them to maintain control over their own data while ensuring accuracy and transparency. This approach supports participant autonomy and strengthens the reliability of the study's outcome measures. The study aims to understand whether combining behavioral activation with real-time sensor feedback and decentralized data verification can improve daily productivity, increase follow-through on planned tasks, and support healthier routines. Participants will use the mobile app and wearable device for the duration of the study and will complete periodic check-ins to share their experiences, challenges, and overall satisfaction with the program. The research team will evaluate changes in daily activity patterns, task completion rates, self-reported productivity, and engagement with the behavioral activation tasks. Findings from this study may help inform future digital health tools that support motivation, routine-building, and personal productivity in everyday life.

Detailed description

Daily functioning in modern environments is often affected by high cognitive load, fragmented attention, and inconsistent routines. Many adults experience difficulty initiating tasks, sustaining engagement, and maintaining productive habits. Behavioral Activation (BA), originally developed for mood-related conditions, provides a structured approach for increasing engagement in meaningful activities and reducing avoidance patterns. BA emphasizes that action precedes motivation and that small, achievable behaviors can create reinforcement cycles that improve daily functioning. Mobile technology and wearable sensors now allow BA principles to be delivered in real time. Wearable devices can detect movement patterns, activity levels, sleep-related rhythms, and environmental cues. When paired with a mobile application, these data streams support adaptive prompts, personalized task suggestions, and real-time feedback. This integration enables interventions to occur in natural environments rather than relying solely on retrospective self-report. To enhance transparency and participant autonomy, the study incorporates a decentralized verification layer. Traditional digital-health systems rely on centralized data storage controlled by the research team. In contrast, decentralized verification provides tamper-resistant logs, participant-controlled data review, and transparent audit trails. This approach supports data integrity and participant trust. The study evaluates a mobile-integrated behavioral activation program supported by wearable sensors and a decentralized verification layer. The objective is to determine whether this combined approach can improve daily functioning, increase follow-through on planned tasks, and support healthier routines in adults seeking to enhance their productivity.

Conditions

• Health Behavior
• Behavioral Activation
• Sedentary Behavior

Interventions

Type	Name	Description
BEHAVIORAL	Behavioral: Mobile Behavioral Activation App	Participants receive daily behavioral activation tasks, structured prompts, and routine-building cues delivered through the mobile app only.
BEHAVIORAL	Mobile App + Wearable Activity Sensor	Participants receive behavioral activation tasks through the mobile app and wear an activity sensor that provides real-time movement data used to tailor prompts and support engagement.
BEHAVIORAL	Mobile App + Wearable Sensor + Secure Activity Verification Layer	Participants receive behavioral activation tasks, sensor-based feedback, and secure verification of activity logs through a tamper-resistant verification layer.

Timeline

• Start date: 2026-01-25
• Primary completion: 2099-01-25
• Completion: 2099-01-25
• First posted: 2026-02-03
• Last updated: 2026-02-03

Locations

1 site across 1 country: United States