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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of Augmented Humans Conference 2022, AHs 2022
PublisherAssociation for Computing Machinery
Pages330-333
Number of pages4
ISBN (Electronic)9781450396325
DOIs
Publication statusPublished - 2022 Mar 13
Event2022 Augmented Humans Conference, AHs 2022 - Virtual, Online, Germany
Duration: 2022 Mar 132022 Mar 15

Publication series

NameACM International Conference Proceeding Series

Conference

Conference2022 Augmented Humans Conference, AHs 2022
Country/TerritoryGermany
CityVirtual, Online
Period22/3/1322/3/15

Keywords

  • Human Computer Interaction
  • Human Sense
  • Noise
  • Training

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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