Basic experiment for switching difficulty in virtual environment

Shota Yamamoto, Hiromu Miyashita, Akihiro Miyata, Masaki Hayashi, Kenichi Okada

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

Abstract

Recently, there has been considerable interest in immersive virtual workspace. This environment makes us more concentrated. Applying this environment to individual work, worker can concentrate on their works harder. Efficiency of individual work largely depends on worker's mental states. Therefore, working in accordance with worker's mental states may improve work efficiency. In this study, we focus on physiological signals such as brain wave and breathing as a method of estimating worker's mental states, which are deeply related with ones including concentration and load. So we propose task supporting method based on physiological signals in virtual environment. In this method, EEGs is used to quantify worker's mental states as an unique index of BA-Level. We also use breathing information related to worker's mental states. Worker's mental states are estimated from indexes of each physiological signals. This information is reflected to complexity and difficulty of work in virtual environment. According to the result of experiments, indexes deeply related to worker's mental states are derived from EEGs and breathing information. It was found that last 60 seconds of BA-Level and breathing frequency is related to worker's mental states. In this paper, we research the relation between difficulty of work and worker's mental states. Using this knowledge, switching method of difficulty is suggested.

Original languageEnglish
Title of host publicationProceedings of the 3rd IASTED International Conference on Human-Computer Interaction, HCI 2008
Pages49-56
Number of pages8
Publication statusPublished - 2008 Dec 1
Event3rd IASTED International Conference on Human-Computer Interaction, HCI 2008 - Innsbruck, Austria
Duration: 2008 Mar 172008 Mar 19

Publication series

NameProceedings of the 3rd IASTED International Conference on Human-Computer Interaction, HCI 2008

Other

Other3rd IASTED International Conference on Human-Computer Interaction, HCI 2008
CountryAustria
CityInnsbruck
Period08/3/1708/3/19

Keywords

  • Breathing information
  • EEGs
  • Physiological signals
  • Virtual environment

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Software

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    Yamamoto, S., Miyashita, H., Miyata, A., Hayashi, M., & Okada, K. (2008). Basic experiment for switching difficulty in virtual environment. In Proceedings of the 3rd IASTED International Conference on Human-Computer Interaction, HCI 2008 (pp. 49-56). (Proceedings of the 3rd IASTED International Conference on Human-Computer Interaction, HCI 2008).