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Adaptive AI Coaching for Indoor Cycling Performance

This study is testing if a special type of artificial intelligence (AI) coaching can help people cycle better indoors. There are two main groups: one gets "Self-efficacy-based AI coaching" which gives real-time feedback and encouragement based on their performance. The other group gets "Static AI Affirmations," which are general motivational messages at set times. We want to see if the adaptive AI coaching helps people produce more power during a 20-minute cycling test. You might be able to join if you are between 18 and 40 years old, are recreationally active, and can cycle vigorously for 20 minutes. We are looking for 120 participants, but the current recruitment status is unclear.

Study design
This interventional study plans to enroll 120 participants into different groups to compare adaptive AI coaching with static affirmations. The study is not blinded, meaning participants will know which type of coaching they are receiving.
What's involved
Not specified in the trial record.
Compensation
Not stated in the trial record.
Follow-up
The primary outcome, cycling power output, is measured at Day 2.

AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.

NCT07318233

Adaptive Self-Efficacy-Based AI Coaching for Cycling

Recruiting
NAAges 18–40InterventionalBasic science
University of Miami
~120 participants
Updated 2026-08-17 on ClinicalTrials.gov
What's tested:Group 1: Self-efficacy-based AI coachingGroup 2: Static AI Affirmations

At a glance

Recruiting sites
1 of 1 listed site is recruiting right now
RecruitingSuspended, closed, or not yet open
What they're measuring
Mean cycling power output during 20-minute time trial
Measured over Day 2

Conditions

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

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Physical Activity

Where it's being run

1 sites across 1 states
Florida1

Study leadership

  • Anna Queiroz, Ph.D. · PRINCIPAL_INVESTIGATOR · University of Miami

Who to contact

Anna Queiroz, Ph.D.
[email protected]
305-284-3752
Email the study team

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Do you actually qualify for this trial?

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Eligibility criteria

Inclusion

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

Exclusion

Cardiovascular, metabolic, or respiratory conditions
Medications affecting heart rate response
Lower extremity injury within past 3 months
Competitive cyclists (\>10 hours cycling/week)
Pregnancy

What this trial measures

  • Mean cycling power output during 20-minute time trialDay 2

    Average cycling power output over the full 20-minute time trial. The outcome compares mean power between intervention arms (adaptive AI coaching vs. static affirmations vs. exercise-only control). Power is captured continuously via the cycling ergometer and summarized as the mean watts for each participant's trial.