Adaptive Self-Efficacy-Based AI Coaching for Cycling (AI)
Adaptive Self-Efficacy-Based AI Coaching for Enhanced Indoor Cycling Performance: A Personalized Machine Learning Approach
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Anna Queiroz, Ph.D.
- Phone Number: 305-284-3752
- Email: aqueiroz@miami.edu
Study Contact Backup
- Name: Meshak Cole, B.S.
- Phone Number: 305-284-3752
- Email: mwc94@miami.edu
Study Locations
-
-
Florida
-
Coral Gables, Florida, United States, 33146
- Recruiting
- University of Miami
-
Contact:
- Anna Queiroz, Ph.D.
- Phone Number: 305-284-3752
- Email: aqueiroz@miami.edu
-
Contact:
- Meshak Cole, B.S.
- Phone Number: 305 2843752
- Email: mwc94@miami.edu
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
Accepts Healthy Volunteers
Description
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
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Basic Science
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Single
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
No Intervention: Control Group
No affirmations delivered.
Participants receive only time notifications at 5, 10, 15, and 19 minutes for pacing awareness.
Same equipment worn to control for potential monitoring effects.
|
|
|
Experimental: Group 1: Self-efficacy-based AI coaching
The Thompson Sampling contextual bandit algorithm, trained on Session 1 data, monitors performance continuously and evaluates every 5 seconds whether to deliver an affirmation.
|
The Thompson Sampling contextual bandit algorithm, trained on Session 1 data, monitors performance continuously and evaluates every 5 seconds whether to deliver an affirmation. The policy is trained to maximize a multi-objective "efficacy-preserving performance" function that rewards:
The decision process considers:
|
|
Active Comparator: Group 2: Static AI Affirmations
Generic motivational messages delivered at fixed intervals (minutes 3, 6, 9, 12, 15, and 18) regardless of performance state.
Messages follow the same complexity gradient based on elapsed time rather than individual response.
|
Generic motivational messages delivered at fixed intervals (minutes 3, 6, 9, 12, 15, and 18) regardless of performance state. Messages follow the same complexity gradient based on elapsed time rather than individual response:
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Mean cycling power output during 20-minute time trial
Time Frame: Day 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.
|
Day 2
|
Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Anna Queiroz, Ph.D., University of Miami
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 20251354
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.