Virtual Reality Sonification Training System Can Improve a Novice's Forehand Return of Serve in Tennis

Katsutoshi Masai, Takuma Kajiyama, Tadashi Muramatsu, Maki Sugimoto, Toshitaka Kimura

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

Virtual reality (VR) is gaining interest as a platform for sports skills training. VR allows for information manipulation and feedback that would be difficult in reality. This is particularly useful in open skill sports where players must adjust their behavior in response to environmental factors. Auditory feedback (sonification) is constructive for sports training in VR. However, this has not been well studied in open skill-specific situations due to the difficulty of accounting for environmental factors in reality. This study focuses on a serve return, an important scene in tennis. It investigates the effects of sonification on the forehand return stroke in VR by comparing score displays and trajectory visualizations. We designed the sonification based on the difference between experienced and novice players' movements in VR. We then conducted a between-subjects experiment to investigate the effect of the sonification (N=20). The results showed that the system with sonification effectively improved the timing of hip movement for preparing a slow serve return compared to the system without sonification.

本文言語English
ホスト出版物のタイトルProceedings - 2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2022
出版社Institute of Electrical and Electronics Engineers Inc.
ページ845-849
ページ数5
ISBN(電子版)9781665453653
DOI
出版ステータスPublished - 2022
イベント21st IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2022 - Singapore, Singapore
継続期間: 2022 10月 172022 10月 21

出版物シリーズ

名前Proceedings - 2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2022

Conference

Conference21st IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2022
国/地域Singapore
CitySingapore
Period22/10/1722/10/21

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ サイエンスの応用
  • メディア記述
  • モデリングとシミュレーション

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