Skip to main content
OpenTrials
Completed

NCT Number: NCT07783724

Evaluating PEARL - a Personalized Exercise Assistant Using Reinforcement Learning (Walkmate Study)

To evaluate the impact of two personalized nudging strategies delivered as pop-up notifications via the Fitbit app on user step count. Specifically, to personalize the following parameters of the pop-up notification system: message content, and timing (hr of the day).

Completed

Looking for future studies?

Notify Me

Key information

Age range

22 year–60 year

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Google Office (Digital Study)

Mountain View, California, 94043, United States

About this study

Phase 1 [Model calibration]: Recruit up to 1,000 Fitbit users for a 4 week pilot study. Nudge content and timing will be varied randomly in order to collect training data to prime the RL architecture prior to Phase 2.

Phase 2 [Performance evaluation]: Recruit up to 12,000 Fitbit users for a 60 day study in which they are randomized evenly between the following 4 arms:

[Control] No nudges Randomly selected nudges from the custom nudge library, delivered at constant time and frequency Behavior science (BS)-only nudge agent PEARL agent

Phase 3 [Micro-randomized Trial (MRT) & LLM Feasibility]: Recruit up to 6,000 Fitbit users for a 60 day study in which they are randomized evenly between the following arms:

Behavior science Micro-randomized Trial (BS-MRT): Once per day users will be randomized across the below factors, and receive a message written by a behavior scientist (the same messages from Phase 1 & 2).

COM-B Theme: 6 themes, and 1 control (no nudge) Time of day: 3 timeframes, and 1 control (no nudge) Large Language Model Micro-randomized Trial (LLM-MRT): Once per day users will be randomized across the below factors, and receive a message written by a large language model.

COM-B Theme: 6 themes, and 1 control (no nudge) Time of day: 3 timeframes, and 1 control (no nudge) Large Language Model + Reinforcement Learning (LLM-RL): Once per day, a reinforcement learning model will run to select the optimal COM-B theme and time of day (the same RL model from Phase 2 Arm 4). The nudges will be selected from a repository that is written by a large language model (LLM).

Primary Purpose:

Phase 1: Model calibration Phase 2: Evaluate performance on step count Phase 3: Micro-randomized Trial (MRT) & LLM feasibility

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Age 22-60 years
  • [For Phase 2 & 3] Daily average steps 1 month prior to recruitment is less than 8000
  • Owns a Fitbit device & smartphone with Fitbit app
  • Willing to share a month of step count data prior to enrollment data
  • Wear a Fitbit device regularly (user-reported)

Exclusion criteria

  • Advised by a doctor to avoid exercising or limit physical activity
  • Current employees of Alphabet
  • [For phase 2] Have participated in Phase 1 of the study
  • [For phase 3] Have participated in Phase 1 or 2 of the study

Treatment and study plan

Mobile App Push Notification (Random Selection)

Behavioral

Participants use Fitbit devices, with the addition of randomly deployed nudge interventions (random timing and theme).

Other names: Nudges

Mobile App Push Notification (Behavior Science Heuristics)

Behavioral

Participants use Fitbit devices, with the addition of nudges deployed based on behavior science heuristics.

Other names: Nudges

Mobile App Push Notification (RL)

Behavioral

Participants use Fitbit devices, with the addition of nudges deployed based on a reinforcement learning algorithm.

Other names: Nudges

Primary outcomes

  1. Change in step count from baseline.

    Time frame: One month prior to enrollment (Baseline) to the second month post-enrollment (60 days total enrollment).

    The average daily step count during the final month minus baseline daily step count during one month before enrollment.

Sponsors and collaborators

Lead sponsor

Fitbit LLC

Industry

Collaborators

  • Google LLC.

Registry information

Important dates

Study start
2024
Primary completion
2024
Study completion
2024
First posted
Aug 25, 2026
Registry last updated
Aug 25, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

Published trials that share one or more normalized conditions with this study.