Evaluating PEARL - a Personalized Exercise Assistant Using Reinforcement Learning (Walkmate Study)
Studieoversikt
Status
Forhold
Detaljert beskrivelse
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
Studietype
Registrering (Faktiske)
Fase
- Ikke aktuelt
Kontakter og plasseringer
Studiesteder
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California
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Mountain View, California, Forente stater, 94043
- Google Office (Digital Study)
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Deltakelseskriterier
Kvalifikasjonskriterier
Alder som er kvalifisert for studier
- Voksen
Tar imot friske frivillige
Beskrivelse
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
Studieplan
Hvordan er studiet utformet?
Designdetaljer
- Primært formål: Annen
- Tildeling: Randomisert
- Intervensjonsmodell: Parallell tildeling
- Masking: Enkelt
Våpen og intervensjoner
Deltakergruppe / Arm |
Intervensjon / Behandling |
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Ingen inngripen: Control
Participants use Fitbit devices, without the addition of the nudge intervention.
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Aktiv komparator: Random
Participants use Fitbit devices, with the addition of randomly deployed nudge interventions (random timing and theme).
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Participants use Fitbit devices, with the addition of randomly deployed nudge interventions (random timing and theme).
Andre navn:
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Aktiv komparator: Behavior Science
Participants use Fitbit devices, with the addition of nudges deployed based on behavior science heuristics.
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Participants use Fitbit devices, with the addition of nudges deployed based on behavior science heuristics.
Andre navn:
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Eksperimentell: Reinforcement Learning
Participants use Fitbit devices, with the addition of nudges deployed based on a reinforcement learning algorithm.
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Participants use Fitbit devices, with the addition of nudges deployed based on a reinforcement learning algorithm.
Andre navn:
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Hva måler studien?
Primære resultatmål
Resultatmål |
Tiltaksbeskrivelse |
Tidsramme |
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Change in step count from baseline.
Tidsramme: One month prior to enrollment (Baseline) to the second month post-enrollment (60 days total enrollment).
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The average daily step count during the final month minus baseline daily step count during one month before enrollment.
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One month prior to enrollment (Baseline) to the second month post-enrollment (60 days total enrollment).
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Samarbeidspartnere og etterforskere
Sponsor
Samarbeidspartnere
Etterforskere
- Hovedetterforsker: James A Taylor, MD, Google LLC.
Publikasjoner og nyttige lenker
Hjelpsomme linker
Studierekorddatoer
Studer hoveddatoer
Studiestart (Faktiske)
Primær fullføring (Faktiske)
Studiet fullført (Faktiske)
Datoer for studieregistrering
Først innsendt
Først innsendt som oppfylte QC-kriteriene
Først lagt ut (Faktiske)
Oppdateringer av studieposter
Sist oppdatering lagt ut (Faktiske)
Siste oppdatering sendt inn som oppfylte QC-kriteriene
Sist bekreftet
Mer informasjon
Begreper knyttet til denne studien
Nøkkelord
Ytterligere relevante MeSH-vilkår
Andre studie-ID-numre
- PEARL-001
Plan for individuelle deltakerdata (IPD)
Planlegger du å dele individuelle deltakerdata (IPD)?
Legemiddel- og utstyrsinformasjon, studiedokumenter
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