Adaptive Self-Efficacy-Based AI Coaching for Cycling

ConditionsExercise Training Exercise Behavior Exercise Adherence Challenges Motivation for Physical Activity Motivational Enhancement

Trial statusNot yet recruiting

Trial phaseNot applicable

Trial typeInterventional

Biological sexAll

Age18-40

SponsorUniversity of Miami

About this trial

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

Qualifiers

Age 18-40 years

Recreationally active

Familiar with stationary cycling

Able to complete 20 minutes of vigorous cycling

Disqualifiers

Cardiovascular, metabolic, or respiratory conditions

Medications affecting heart rate response

Lower extremity injury within past 3 months

Competitive cyclists (>10 hours cycling/week)

Trial design

Treatments tested in this trial

Group 1: Self-efficacy-based AI coaching
Group 2: Static AI Affirmations

Treatment groups

120 Participants

are divided into 3 treatment groups

Sponsors and collaborators

University of Miami

Lead sponsor

Source ClinicalTrials.gov