Embodied Noise - Towards Augmenting the Dart-Throwing Practice over a Sleeve with Randomized Haptic Actuation

Takuro Nakao, Keitaro Tsuchiya, Shinya Shimizu, Megumi Isogai, Kai Kunze

研究成果: Conference contribution

抄録

Effective training lives from a large degree of variation according to physiological research principles of deliberate practice. In this paper, we introduce a novel way of training by adding kinetic noise (randomized haptic vibrations) to the training process. Over the vibrations, we make the training process more difficult and hope to add variation (an important aspect of skill training in the psychology literature). We present an initial study (n=8) of dart-throwing training as a system test. Four users train with a sleeve (random vibro-tactile and thermal actuation) and 4 users are the control group (no sleeve). Both groups improve significantly over the training period (p <.05). Yet,the effect size is too low to make any claims regarding effectiveness between the groups. Still we believe our approach could be promising, we will explore in future work how to enhance skill acquisition training over randomized haptic actuation.

本文言語English
ホスト出版物のタイトルProceedings of Augmented Humans Conference 2022, AHs 2022
出版社Association for Computing Machinery
ページ330-333
ページ数4
ISBN(電子版)9781450396325
DOI
出版ステータスPublished - 2022 3月 13
イベント2022 Augmented Humans Conference, AHs 2022 - Virtual, Online, Germany
継続期間: 2022 3月 132022 3月 15

出版物シリーズ

名前ACM International Conference Proceeding Series

Conference

Conference2022 Augmented Humans Conference, AHs 2022
国/地域Germany
CityVirtual, Online
Period22/3/1322/3/15

ASJC Scopus subject areas

  • 人間とコンピュータの相互作用
  • コンピュータ ネットワークおよび通信
  • コンピュータ ビジョンおよびパターン認識
  • ソフトウェア

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