Towards an Understanding of Situated AR Visualization for Basketball Free-Throw Training

Towards an Understanding of Situated AR Visualization for Basketball Free-Throw Training

Tica Lin, Rishi Singh, Yalong Yang, Carolina Nobre, Johanna Beyer, Maurice A. Smith, and Hanspeter Pfster.

2021 ACM Conference on Human Factors in Computing Systems (CHI 21), 2021.

We present an observational study to compare co-located and situated real-time visualizations in basketball free-throw training. Our goal is to understand the advantages and concerns of applying immersive visualization to real-world skill-based sports training and to provide insights for designing AR sports training systems. We design both a situated 3D visualization on a head-mounted display and a 2D visualization on a co-located display to provide immediate visual feedback on a player’s shot performance. Using a within-subject study design with experienced basketball shooters, we characterize user goals, report on qualitative training experiences, and compare the quantitative training results. Our results show that real-time visual feedback helps athletes refine subsequent shots. Shooters in our study achieve greater angle consistency with our visual feedback. Furthermore, AR visualization promotes an increased focus on body form in athletes. Finally, we present suggestions for the design of future sports AR studies.

Acknowledgements

We wish to thank coaches and players on Harvard Women’s and Men’s Basketball teams for their time and expertise. This research is supported in part by the National Science Foundation (NSF) under NSF Award Number IIS-1901030, and the Harvard Physical Sciences and Engineering Accelerator Award.

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