著者

本多 拓実 齊藤 寛人 脇坂 崇平 稲見 昌彦

出版者

特定非営利活動法人 日本バーチャルリアリティ学会

雑誌

日本バーチャルリアリティ学会論文誌 (ISSN:1344011X)

巻号頁・発行日

vol.27, no.4, pp.393-402, 2022-12-28 (Released:2022-12-28)

参考文献数

20

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In sports, it is essential to accurately predict the results of others’ actions based on the movements’ characteristics and respond appropriately to them. Previous studies have proposed systems that predict motions using machine learning and present these results to users. However, it remains unclear whether the judgment basis constructed by machine learning is useful for humans to predict movements accurately. This study developed a Neural Network that predicted the kicking direction of soccer penalty kicks and extracted the basis. Also, we tested whether the extracted basis was useful for participants in their predictions. The results showed that participants perceived the extracted basis as valid, even though they had not used it as a strategy at first.