Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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NOT_YET_RECRUITING
NA
120 participants
INTERVENTIONAL
2026-03-01
2028-12-28
Brief Summary
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
BASIC_SCIENCE
SINGLE
Study Groups
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Control Group
No affirmations delivered. Participants receive only time notifications at 5, 10, 15, and 19 minutes for pacing awareness. Same equipment worn to control for potential monitoring effects.
No interventions assigned to this group
Group 1: Self-efficacy-based AI coaching
The Thompson Sampling contextual bandit algorithm, trained on Session 1 data, monitors performance continuously and evaluates every 5 seconds whether to deliver an affirmation.
Group 1: Self-efficacy-based AI coaching
The Thompson Sampling contextual bandit algorithm, trained on Session 1 data, monitors performance continuously and evaluates every 5 seconds whether to deliver an affirmation. The policy is trained to maximize a multi-objective "efficacy-preserving performance" function that rewards:
* Maintaining target power relative to rolling 30s/2min/5min baselines
* Stabilizing short-horizon power variability (30s coefficient of variation)
* Stabilizing heart-rate (HR) trajectory consistent with efficient pacing
The decision process considers:
* Current power relative to 30-second, 2-minute, and 5-minute rolling averages
* Power output variability (coefficient of variation over past 30 seconds)
* Heart rate trajectory and cardiac drift patterns
* Cadence stability and changes from baseline
* Time elapsed and expected fatigue progression based on power-duration curve Self-efficacy-based AI coaching adapts to physiological measures (power and heart rate).
Group 2: Static AI Affirmations
Generic motivational messages delivered at fixed intervals (minutes 3, 6, 9, 12, 15, and 18) regardless of performance state. Messages follow the same complexity gradient based on elapsed time rather than individual response.
Group 2: Static AI Affirmations
Generic motivational messages delivered at fixed intervals (minutes 3, 6, 9, 12, 15, and 18) regardless of performance state. Messages follow the same complexity gradient based on elapsed time rather than individual response:
* Minutes 3, 6: "You're building momentum with every pedal stroke-maintain this strong rhythm"
* Minutes 9, 12: "Strong effort-push through this challenge"
* Minutes 15, 18: "Final push-finish strong"
Interventions
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Group 1: Self-efficacy-based AI coaching
The Thompson Sampling contextual bandit algorithm, trained on Session 1 data, monitors performance continuously and evaluates every 5 seconds whether to deliver an affirmation. The policy is trained to maximize a multi-objective "efficacy-preserving performance" function that rewards:
* Maintaining target power relative to rolling 30s/2min/5min baselines
* Stabilizing short-horizon power variability (30s coefficient of variation)
* Stabilizing heart-rate (HR) trajectory consistent with efficient pacing
The decision process considers:
* Current power relative to 30-second, 2-minute, and 5-minute rolling averages
* Power output variability (coefficient of variation over past 30 seconds)
* Heart rate trajectory and cardiac drift patterns
* Cadence stability and changes from baseline
* Time elapsed and expected fatigue progression based on power-duration curve Self-efficacy-based AI coaching adapts to physiological measures (power and heart rate).
Group 2: Static AI Affirmations
Generic motivational messages delivered at fixed intervals (minutes 3, 6, 9, 12, 15, and 18) regardless of performance state. Messages follow the same complexity gradient based on elapsed time rather than individual response:
* Minutes 3, 6: "You're building momentum with every pedal stroke-maintain this strong rhythm"
* Minutes 9, 12: "Strong effort-push through this challenge"
* Minutes 15, 18: "Final push-finish strong"
Eligibility Criteria
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Inclusion Criteria
* Recreationally active
* Familiar with stationary cycling
* Able to complete 20 minutes of vigorous cycling
Exclusion Criteria
* Medications affecting heart rate response
* Lower extremity injury within past 3 months
* Competitive cyclists (\>10 hours cycling/week)
* Pregnancy
18 Years
40 Years
ALL
Yes
Sponsors
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University of Miami
OTHER
Responsible Party
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Anna Queiroz
Associate Professor
Principal Investigators
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Anna Queiroz, Ph.D.
Role: PRINCIPAL_INVESTIGATOR
University of Miami
Locations
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University of Miami
Coral Gables, Florida, United States
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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20251354
Identifier Type: -
Identifier Source: org_study_id
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