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

August 21, 2026 updated by: Fitbit LLC
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).

Study Overview

Detailed Description

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

Study Type

Interventional

Enrollment (Actual)

13463

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • California
      • Mountain View, California, United States, 94043
        • Google Office (Digital Study)

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult

Accepts Healthy Volunteers

Yes

Description

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

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Other
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Single

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
No Intervention: Control
Participants use Fitbit devices, without the addition of the nudge intervention.
Active Comparator: Random
Participants use Fitbit devices, with the addition of randomly deployed nudge interventions (random timing and theme).
Participants use Fitbit devices, with the addition of randomly deployed nudge interventions (random timing and theme).
Other Names:
  • Nudges
Active Comparator: Behavior Science
Participants use Fitbit devices, with the addition of nudges deployed based on behavior science heuristics.
Participants use Fitbit devices, with the addition of nudges deployed based on behavior science heuristics.
Other Names:
  • Nudges
Experimental: Reinforcement Learning
Participants use Fitbit devices, with the addition of nudges deployed based on a reinforcement learning algorithm.
Participants use Fitbit devices, with the addition of nudges deployed based on a reinforcement learning algorithm.
Other Names:
  • Nudges

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
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.
One month prior to enrollment (Baseline) to the second month post-enrollment (60 days total enrollment).

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Collaborators

Investigators

  • Principal Investigator: James A Taylor, MD, Google LLC.

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

February 26, 2024

Primary Completion (Actual)

August 26, 2024

Study Completion (Actual)

August 26, 2024

Study Registration Dates

First Submitted

August 21, 2026

First Submitted That Met QC Criteria

August 21, 2026

First Posted (Actual)

August 25, 2026

Study Record Updates

Last Update Posted (Actual)

August 25, 2026

Last Update Submitted That Met QC Criteria

August 21, 2026

Last Verified

August 1, 2026

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • PEARL-001

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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