Adaptive Self-Efficacy-Based AI Coaching for Cycling
University of Miami · NCT07318233
Opens the official ClinicalTrials.gov record, with the study team’s contacts. Bored Studies doesn’t enroll anyone.
Key facts
- Compensation
- Not posted. Ask the study team before screening.
- Who can join
- Ages 18–40 · All sexes
- Healthy volunteers
- Accepted
- Study type
- Interventional · Not applicable
- Target enrollment
- 120
- US sites recruiting
- 1
- Study start
- May 15, 2026
- Record last updated
- August 17, 2026
Status re-checked against ClinicalTrials.gov within the last 12 hours.
What the study is about
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.
Being studied: Group 1: Self-efficacy-based AI coaching; Group 2: Static AI Affirmations
Conditions: Exercise Training; Exercise Behavior; Exercise Adherence Challenges; Motivation for Physical Activity; Motivational Enhancement
Eligibility criteria
Copied from the official record. The study team makes the final decision at screening.
Show full 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
Recruiting US locations
University of Miami
Coral Gables, FL 33146
Site contact: Anna Queiroz, Ph.D. · 305-284-3752 · aqueiroz@miami.edu
Study contacts (from the official record)
- Anna Queiroz, Ph.D. · 305-284-3752 · aqueiroz@miami.edu
- Meshak Cole, B.S. · 305-284-3752 · mwc94@miami.edu
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