Applying Adaptive Intelligent Tutoring Techniques to Physical Fitness Training Programs

Jessica Voge, Alex Negri, Paul Woodall, Derek Thayer, Brent Ruby, Walter Hailes, Andrew Reinert, James Niehaus, Spencer Lynn

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Adaptive Training Protocols (ATP) is a collection of algorithms and software to apply principals of intelligent tutoring to physical fitness training. To obtain norming data for ATP, we examined exercise performance from 34 participants under an adaptive workout regimen lasting 13 weeks. The goal of the regimen was to train to pass the performance criteria of the US Marine Corps Initial Strength Test (IST; a 1.5-mile run, sits-ups, pull-ups, and push-ups). The weekly regimen comprised an IST, an interval workout, and a maximum workout. Adaptation was accomplished via two algorithms: maximum-day reps were double those accomplished on the prior IST and maximum-day and interval-day runs were performed at specified rates of perceived exertion. Starting capabilities for run, sit-ups, and push-ups negatively correlated with progression rates; participants who exhibited lower performance at the start of the study made steeper gains in performance. Individual logistic curve fitting found decelerating, inflecting, and accelerating progression profiles. Participants showed considerable variation in their profiles both across individuals in each exercise and within individuals across exercises. Progression profiles can be used to forecast the performance that a person can attain in a given timeframe under a given training regimen. This knowledge can be used to adapt the workout to provide more time to reach a goal if needed or to focus on exercises that are in jeopardy of not achieving the goal in time. ATP will help the Marine Corps plan for when intended recruits may be physically ready to ship out to boot camp.

Original languageEnglish
Title of host publicationAdaptive Instructional Systems. Design and Evaluation - Third International Conference, AIS 2021, Held as Part of the 23rd HCI International Conference, HCII 2021, Proceedings
EditorsRobert A. Sottilare, Jessica Schwarz
PublisherSpringer Science and Business Media Deutschland GmbH
Pages616-630
Number of pages15
ISBN (Print)9783030778569
DOIs
StatePublished - 2021
Event3rd International Conference on Adaptive Instructional Systems, AIS 2021, Held as Part of the 23rd HCI International Conference, HCII 2021 - Virtual, Online
Duration: Jul 24 2021Jul 29 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12792 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd International Conference on Adaptive Instructional Systems, AIS 2021, Held as Part of the 23rd HCI International Conference, HCII 2021
CityVirtual, Online
Period07/24/2107/29/21

Keywords

  • Adaptive training
  • Exercise
  • Physical fitness progression

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