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Adaptive Self-Efficacy-Based AI Coaching for Cycling

Adaptive Self-Efficacy-Based AI Coaching for Enhanced Indoor Cycling Performance: A Personalized Machine Learning Approach

Who can join

Ages 18 to 40 · All sexes · Healthy volunteers welcome

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

About the study

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.

What is being tested

• Group 1: Self-efficacy-based AI coaching (behavioral)
• Group 2: Static AI Affirmations (behavioral)

Sponsor: University of Miami · Participants: 120 · Started: May 15, 2026

Contact the study team

• Anna Queiroz, Ph.D. · Phone: 305-284-3752
• Meshak Cole, B.S. · Phone: 305-284-3752

Official record on ClinicalTrials.gov — NCT07318233

Locations in the U.S.

From ClinicalTrials.gov, data retrieved Oct 2, 2026. Each study sets its own eligibility; the study team decides who can join.