NCT07318233NARecruitingAccepts Healthy Volunteers
Adaptive Self-Efficacy-Based AI Coaching for Cycling
University of Miami
Start Date
5/15/2026
Completion Date
12/28/2028
Summary
The primary objective of this study is to evaluate whether adaptive, AI-delivered personalized self-efficacy-based AI coaching based on real-time physiological and performance feedback enhance indoor cycling power output during a 20-minute time trial compared to static affirmations and exercise-only control conditions.
Eligibility Criteria
Age Range: 18 years to 40 years
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
Interventions
BEHAVIORAL
Group 1: Self-efficacy-based AI coaching
BEHAVIORAL
Group 2: Static AI Affirmations
Conditions
Exercise TrainingExercise BehaviorExercise Adherence ChallengesMotivation for Physical ActivityMotivational Enhancement
Locations
University of Miami
Coral Gables, Florida 33146
United States