Adaptive Self-Efficacy-Based AI Coaching for Cycling

Starting soon · Not applicable

Conditions studied: Exercise Training, Exercise Behavior, Exercise Adherence Challenges, Motivation for Physical Activity, Motivational Enhancement

In brief

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.

Key facts

Study ID

NCT07318233

Run by

University of Miami

People needed

120

Starts

2026-06-01

Expected to finish

2028-12-28

Last updated by the study team

2026-03-03

Who can join

Age: 18 and older, up to 40. Sex: any. Healthy volunteers: accepted.

You may qualify if…

• Age 18-40 years
• Recreationally active
• Familiar with stationary cycling
• Able to complete 20 minutes of vigorous cycling

You may not qualify if…

• 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 is running

• University of Miami — Coral Gables, Florida, United States

Full record on ClinicalTrials.gov

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