4.6 Article

Using video simulations and virtual reality to improve decision-making skills in basketball

Journal

JOURNAL OF SPORTS SCIENCES
Volume 37, Issue 21, Pages 2403-2410

Publisher

TAYLOR & FRANCIS LTD
DOI: 10.1080/02640414.2019.1638193

Keywords

Decision-making; video simulation training; virtual reality; learning transfer; learning generalization

Categories

Ask authors/readers for more resources

A large body of literature supports the effectiveness of using video simulations to improve decision-making skills in invasion sports. However, whether these improvements are transferable (from the laboratory to the court/field) and generalizable (from trained to untrained plays) remains unknown. In addition, it remains to be determined whether presenting the video simulations using virtual reality provides an added-value. To investigate these questions, varsity-level basketball players underwent four training sessions during which they observed video clips of basketball plays presented either on a computer screen (CS group) or using a virtual reality headset (VR group). A third group watched footage from NCAA playoff games on a computer screen (CTRL group). Decision-making was assessed on-court before and after the training sessions using two types of plays: trained plays (presented during the CS and VR training sessions) and untrained plays (presented only during the on-court tests). When facing the trained plays in the posttest, both VR and CS groups significantly outperformed the CTRL group. In contrast, when facing the untrained plays, the VR group outperformed both the CS and CTRL groups. Our results indicate that CS training leads to transferable but non-generalized decision-making gains while VR training leads to transferable and generalized gains.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available