Evaluating PEARL - a Personalized Exercise Assistant Using Reinforcement Learning (Walkmate Study)
1 other identifier
interventional
13,463
1 country
1
Brief Summary
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).
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Feb 2024
Shorter than P25 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
February 26, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 26, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
August 26, 2024
CompletedFirst Submitted
Initial submission to the registry
August 21, 2026
CompletedFirst Posted
Study publicly available on registry
August 25, 2026
CompletedAugust 25, 2026
August 1, 2026
6 months
August 21, 2026
August 21, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Change in step count from baseline.
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).
Study Arms (4)
Control
NO INTERVENTIONParticipants use Fitbit devices, without the addition of the nudge intervention.
Random
ACTIVE COMPARATORParticipants use Fitbit devices, with the addition of randomly deployed nudge interventions (random timing and theme).
Behavior Science
ACTIVE COMPARATORParticipants use Fitbit devices, with the addition of nudges deployed based on behavior science heuristics.
Reinforcement Learning
EXPERIMENTALParticipants use Fitbit devices, with the addition of nudges deployed based on a reinforcement learning algorithm.
Interventions
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 a reinforcement learning algorithm.
Participants use Fitbit devices, with the addition of randomly deployed nudge interventions (random timing and theme).
Eligibility Criteria
You may qualify if:
- 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)
You may not qualify if:
- 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
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Fitbit LLClead
- Google LLC.collaborator
Study Sites (1)
Google Office (Digital Study)
Mountain View, California, 94043, United States
Related Links
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
James A Taylor, MD
Google LLC.
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- PARTICIPANT
- Purpose
- OTHER
- Intervention Model
- PARALLEL
- Sponsor Type
- INDUSTRY
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
August 21, 2026
First Posted
August 25, 2026
Study Start
February 26, 2024
Primary Completion
August 26, 2024
Study Completion
August 26, 2024
Last Updated
August 25, 2026
Record last verified: 2026-08
Data Sharing
- IPD Sharing
- Will not share