Adaptive AI Coaching to Boost Indoor Cycling Performance
Official title: Adaptive Self-Efficacy-Based AI Coaching for Enhanced Indoor Cycling Performance: A Personalized Machine Learning Approach
Run by University of Miami · NCT07318233 · Data updated 2026-11-12
This study tests whether an adaptive, AI-powered coaching system that uses real-time data can help 18- to 40-year-olds ride harder during a 20-minute indoor cycling test.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 18 Years to 40 Years |
| Sex | All |
| Enrollment | 120 (estimated) |
| Sponsor | University of Miami Academic / other |
| Locations | 1 site (Coral Gables, Florida) |
| Status | Recruiting |
| Started | May 15, 2026 |
| Main results expected | December 23, 2028 |
| Study ends | December 28, 2028 |
| Registry record updated | August 17, 2026 |
| Trial ID | NCT07318233 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults aged 18–40 who are recreationally active, familiar with stationary cycling, and able to complete a 20-minute vigorous ride.
✕Probably not a fit
Individuals with cardiovascular, metabolic, or respiratory conditions, recent lower extremity injuries, or those who cycle competitively may not benefit from this approach.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
Participants will be randomly assigned to receive either adaptive, self-efficacy–based AI coaching or static AI affirmations, with an exercise-only control condition. The adaptive coaching provides personalized feedback and encouragement based on real-time physiological and performance signals during a 20-minute cycling time trial. The primary outcome is indoor cycling power output, comparing adaptive coaching against static affirmations and exercise-only guidance. The trial focuses on urban university-affiliated adults and excludes individuals with major health risks or conflicting conditions. This design explores how personalized AI prompts might influence motivation and performance in endurance cycling.
Why it matters
Potential benefit: If successful, participants may experience improved effort and power during indoor cycling sessions thanks to personalized, timely AI guidance.
How similar studies have gone: Prior work in adaptive, just-in-time coaching and motivational messaging has shown promise in behavioral and performance domains, but similar AI self-efficacy coaching for cycling remains exploratory.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Age 18-40 years * Recreationally active * Familiar with stationary cycling * Able to complete 20 minutes of vigorous cycling Exclusion Criteria: * Cardiovascular, metabolic, or respiratory conditions * Medications affecting heart rate response * Lower extremity injury within past 3 months * Competitive cyclists (\>10 hours cycling/week) * Pregnancy
Where it's running
-
University of Miami
Coral Gables, Florida, United States Recruiting
Study contacts
- Principal investigator: Anna Queiroz, Ph.D. — University of Miami
- Study coordinator: Anna Queiroz, Ph.D.
- Email: aqueiroz@miami.edu
- Phone: 305-284-3752
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.