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Drum Training Support by Using First-Person 3D Animations and The Effect of Animations Using Experts’Eye Movements on Training
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- HAYAKAWA Kazuki
- Department of Intelligent Interaction Technologies, Graduate School of Systems and Information Engineering, University of Tsukuba
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- HASEGAWA Dai
- Department of Integrated Information Technology, College of Science and Engineering, Aoyama Gakuin University
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- SAKUTA Hiroshi
- Department of Integrated Information Technology, College of Science and Engineering, Aoyama Gakuin University
Bibliographic Information
- Other Title
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- 主観視点の3D手本動作教材提示によるドラム演奏学習支援および熟練者視線情報を利用した教材による学習効果
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Description
One of the most promising methods for drum training is through watching 3D model animation. We propose a drum training method through the utilization of a first-person 3D model animation program and examine the effects of presenting experts'eye movements on drum training. We evaluated learning efficacy through the use of a questionnaire and analyzed drum performances after a first-person 3D model animation was presented as a learning material. After comparing the results of the proposed method with the learning which took place after watching a model human performance, we found that the proposed method significantly increased learner self-efficacy and self-evaluation of the musical performances when compared with the other method. Moreover, the proposed method resulted in a decrease in the number of mistakes in the performances. Finally, the effects of presenting experts'eye movements in the animation model on learners were evaluated. These results also showed that learner self-efficacy and self-evaluation of the musical performances increased while the number of performance mistakes decreased.
Journal
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- Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
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Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 28 (1), 511-521, 2016
Japan Society for Fuzzy Theory and Intelligent Informatics
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Details 詳細情報について
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- CRID
- 1390001205185751296
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- NII Article ID
- 130005128538
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- ISSN
- 18817203
- 13477986
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- Text Lang
- ja
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- Article Type
- journal article
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
- KAKEN
- OpenAIRE
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- Abstract License Flag
- Disallowed