• DocumentCode
    2336556
  • Title

    Visible classification of task-switching strategies in vehicle operation

  • Author

    Suzuki, Satoshi ; Sasaki, Takenori ; Harashima, Fumio

  • Author_Institution
    Dept. of Robot. & Mechatron., Tokyo Denki Univ., Tokyo, Japan
  • fYear
    2009
  • fDate
    Sept. 27 2009-Oct. 2 2009
  • Firstpage
    1161
  • Lastpage
    1166
  • Abstract
    On a remote vehicle manipulation, both a task scheduling and an adequate selecting of operation commands are significant to execute sequential task successfully. Hence, for a future assistive intelligent mechatronics, automatic recognition of the operator´s task-switching is required to support him / her timely. In the present research, an analysis procedure to make the task-switching strategy visible is presented by utilizing the Self-Organizing Map (SOM). For practical verification, a cooperation task in a virtual computer space was used, and the proposed analysis procedure was applied to the experimental data. As a result, obvious separation of each operation mode was demonstrated as the operator became skilled. And, it was confirmed that the proposed method was valid for a skill evaluation of remote vehicle manipulation.
  • Keywords
    mobile robots; remotely operated vehicles; self-organising feature maps; traffic engineering computing; SOM; assistive intelligent mechatronics; automatic recognition; classification; cooperation task; operation commands; remote vehicle manipulation; self-organizing map; sequential task; task scheduling; task-switching strategies; vehicle operation; virtual computer space; Biological system modeling; Databases; Delay effects; Educational technology; Hidden Markov models; Human robot interaction; Intelligent robots; Machine intelligence; Mechatronics; Remotely operated vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robot and Human Interactive Communication, 2009. RO-MAN 2009. The 18th IEEE International Symposium on
  • Conference_Location
    Toyama
  • ISSN
    1944-9445
  • Print_ISBN
    978-1-4244-5081-7
  • Electronic_ISBN
    1944-9445
  • Type

    conf

  • DOI
    10.1109/ROMAN.2009.5326339
  • Filename
    5326339