• DocumentCode
    138149
  • Title

    Modeling of human velocity habituation for a robotic wheelchair

  • Author

    Morales, Yaileth ; Abdur-Rahim, Jamilah A. ; Even, J. ; Watanabe, Atsuyori ; Kondo, Toshiaki ; Hagita, Norihiro ; Ogawa, Tomomi ; Ishii, Shin

  • Author_Institution
    Dept. of Sound Environ. Intell., ATR Intell. Robot. & Commun. Labs., Kyoto, Japan
  • fYear
    2014
  • fDate
    14-18 Sept. 2014
  • Firstpage
    3284
  • Lastpage
    3290
  • Abstract
    This work proposes a model for human habituation while riding a robotic wheelchair. We present and describe the concept of human navigational habituation which we define as the human habituation to repetitively riding a robotic wheelchair. The approach models habituation in terms of preferred linear velocity based on the experience of riding a wheelchair. We argue that preferred velocity changes as the human gets used to riding on the wheelchair. Inexperienced users initially prefer to ride at a slow moderate pace, however the longer they ride they prefer to speed up to a certain comfort level and find initial slower velocities to be tediously “too slow” for their experience level. The proposed habituation model provides passenger preferred velocity based on experience. Human biological measurements, galvanic skin conductance, and participant feedback demonstrate the preference for habituation velocity control over fixed velocity control. To our knowledge habituation modeling is new in the field of autonomous navigation and robotics.
  • Keywords
    electric vehicles; handicapped aids; path planning; robots; velocity control; autonomous navigation; autonomous robotics; galvanic skin conductance; human biological measurements; human navigational habituation; human velocity habituation modeling; linear velocity; participant feedback; robotic wheelchair; wheelchair riding; Atmospheric measurements; Mobile robots; Navigation; Particle measurements; Skin; Wheelchairs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems (IROS 2014), 2014 IEEE/RSJ International Conference on
  • Conference_Location
    Chicago, IL
  • Type

    conf

  • DOI
    10.1109/IROS.2014.6943019
  • Filename
    6943019