Adaptive Self-Efficacy-Based AI Coaching for Cycling

University of Miami

Status: Begins enrollment this month

Conditions: Exercise Training; Motivational Enhancement; Exercise Adherence Challenges; Exercise Behavior; Motivation for Physical Activity

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

Study type: Interventional

Funder types: Other

Identifiers

NCT07318233

20251354

Details and patient eligibility

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.

Enrollment: 120 estimated patients

Sex: All

Ages: 18 to 40 years old

Volunteers: Accepts Healthy Volunteers

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

Trial design

Primary purpose: Basic Science

Allocation: Randomized

Interventional model: Parallel Assignment

Masking: Single Blind

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120 participants in 3 patient groups

Control Group

No Intervention group

Description:

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.

Group 1: Self-efficacy-based AI coaching

Experimental group

Description:

The Thompson Sampling contextual bandit algorithm, trained on Session 1 data, monitors performance continuously and evaluates every 5 seconds whether to deliver an affirmation.

Treatment:

Behavioral: Group 1: Self-efficacy-based AI coaching

Group 2: Static AI Affirmations

Active Comparator group

Description:

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.

Treatment:

Behavioral: Group 2: Static AI Affirmations