Play to Train: Designing and Comparing Exergame-Based and Traditional Basketball Defense Training

Maintaining motivation to participate in physically demanding and monotonous sports training routines, such as basketball defense training, can be challenging. Exergames that combine exercise with playful tasks can help address this challenge. However, there is limited research on how exergames involving strenuous and repetitive tasks should be designed, how they compare to traditional training methods, and how professional players evaluate such tools. To overcome these knowledge gaps, we conducted a three-phase research study. First, we interviewed basketball experts ( N = 10) to identify requirements for designing exergame-based defense training. Based on the derived requirements, we developed an exergame ( Defender ) and compared it to traditional defense training in a mixed-methods, within-participant study ( N = 40) involving individuals with basketball-playing experience. In the final step, we interviewed professional basketball players ( N = 5) after they played Defender to explore the potential use of such games in real-world training routines. Our findings show that exergame-based training led to significantly higher motivation, training experience, and performance outcomes without causing a significant decrease in physical exertion compared to traditional training. We discuss the implications of integrating exergame-based training into sports contexts.

Authors

Institutions

Publication Details

Journal
Proceedings of the ACM on Human-Computer Interaction
Published
2026-11-03
DOI
https://doi.org/10.1145/3831308
Primary Topic
Educational Games and Gamification
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Play to Train: Designing and Comparing Exergame-Based and Traditional Basketball Defense Training

Frank Steinicke, Sukran Karaosmanoglu, Bastian Kordyaka, Rateb Karanzie
Proceedings of the ACM on Human-Computer Interaction
Educational Games and Gamification
article

Play to Train: Designing and Comparing Exergame-Based and Traditional Basketball Defense Training

Frank Steinicke, Sukran Karaosmanoglu, Bastian Kordyaka, Rateb Karanzie
article en

Abstract

Maintaining motivation to participate in physically demanding and monotonous sports training routines, such as basketball defense training, can be challenging. Exergames that combine exercise with playful tasks can help address this challenge. However, there is limited research on how exergames involving strenuous and repetitive tasks should be designed, how they compare to traditional training methods, and how professional players evaluate such tools. To overcome these knowledge gaps, we conducted a three-phase research study. First, we interviewed basketball experts ( N = 10) to identify requirements for designing exergame-based defense training. Based on the derived requirements, we developed an exergame ( Defender ) and compared it to traditional defense training in a mixed-methods, within-participant study ( N = 40) involving individuals with basketball-playing experience. In the final step, we interviewed professional basketball players ( N = 5) after they played Defender to explore the potential use of such games in real-world training routines. Our findings show that exergame-based training led to significantly higher motivation, training experience, and performance outcomes without causing a significant decrease in physical exertion compared to traditional training. We discuss the implications of integrating exergame-based training into sports contexts.

Proceedings of the ACM on Human-Computer InteractionVol. 10(7)
Åbo Akademi University (FI), Universität Hamburg (DE), Human Computer Interaction (Switzerland) (CH)
Openalex Percentile: Top 8%
Educational Games and Gamification
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon
Play to Train: Designing and Comparing Exergame-Based and Traditional Basketball Defense Training — Frank Steinicke, Sukran Karaosmanoglu, et al. · Proceedings of the ACM on Human-Computer Interaction (2026) | TGRS Research Map | TGRS