TY - GEN
T1 - Applying Adaptive Intelligent Tutoring Techniques to Physical Fitness Training Programs
AU - Voge, Jessica
AU - Negri, Alex
AU - Woodall, Paul
AU - Thayer, Derek
AU - Ruby, Brent
AU - Hailes, Walter
AU - Reinert, Andrew
AU - Niehaus, James
AU - Lynn, Spencer
N1 - Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - Adaptive training
KW - Exercise
KW - Physical fitness progression
UR - http://www.scopus.com/inward/record.url?scp=85112176257&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-77857-6_44
DO - 10.1007/978-3-030-77857-6_44
M3 - Conference contribution
AN - SCOPUS:85112176257
SN - 9783030778569
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 616
EP - 630
BT - Adaptive Instructional Systems. Design and Evaluation - Third International Conference, AIS 2021, Held as Part of the 23rd HCI International Conference, HCII 2021, Proceedings
A2 - Sottilare, Robert A.
A2 - Schwarz, Jessica
PB - Springer Science and Business Media Deutschland GmbH
T2 - 3rd International Conference on Adaptive Instructional Systems, AIS 2021, Held as Part of the 23rd HCI International Conference, HCII 2021
Y2 - 24 July 2021 through 29 July 2021
ER -