GenVibe: Exploration of Interactive Generation of Personal Vibrotactile Patterns

Erik Pescara, Florian Dreschner, Karola Marky, Kai Kunze, Michael Beigl

研究成果: Conference contribution

抄録

Research about vibrotactile patterns is traditionally conducted with patterns handcrafted by experts which are then subsequently evaluated in general user studies. The current empirical approach to designing vibrotactile patterns mostly utilizes expert decisions and is notably not adapted to individual differences in the perception of vibration. This work describes GenVibe: a novel approach to designing vibrotactile patterns by examining the automatic generation of personal patterns. GenVibe adjusts patterns to the perception of an individual through the utilization of interactive generative models. An algorithm is described and tested with a dummy smartphone made from off-the-shelf electronic components. Afterward, a user study with 11 participants evaluates the outcome of GenVibe. Results show a significant increase in accuracy from 73.6% to 84.0% and a higher confidence ratings by the users.

本文言語English
ホスト出版物のタイトルProceedings of the Augmented Humans International Conference, AHs 2020
出版社Association for Computing Machinery
ISBN(電子版)9781450376037
DOI
出版ステータスPublished - 2020 3 16
イベント2020 Augmented Humans International Conference, AHs 2020 - Kaiserslautern, Germany
継続期間: 2020 3 162020 3 17

出版物シリーズ

名前ACM International Conference Proceeding Series

Conference

Conference2020 Augmented Humans International Conference, AHs 2020
CountryGermany
CityKaiserslautern
Period20/3/1620/3/17

ASJC Scopus subject areas

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

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