• DocumentCode
    2662949
  • Title

    Artificial grapheme-color synesthesia for wearable task support

  • Author

    Plouznikoff, Nicolas ; Plouznikoff, Alexandre ; Robert, Jean-Marc

  • Author_Institution
    Dept. of Ind. Eng., Ecole Polytech. de Montreal, Que., Canada
  • fYear
    2005
  • fDate
    18-21 Oct. 2005
  • Firstpage
    108
  • Lastpage
    111
  • Abstract
    This paper presents the benefits of generating an artificial visual synesthesia through a wearable computer. Following a short introduction to remind the need for seamless human-wearable computer interactions, this paper makes the case for drawing upon synesthesia, a combination of the senses naturally occurring in a small portion of the population, to augment everyday entities and more precisely to enrich written graphemes. We present the rationale behind our research and summarize the functionality, architecture and implementation of our current prototype. Preliminary results suggest that this kind of artificial synesthesia improves short term memory recall and visual information search times.
  • Keywords
    augmented reality; computer vision; human computer interaction; task analysis; wearable computers; artificial grapheme-color synesthesia; artificial visual synesthesia; human-wearable computer interactions; information cuing system; wearable task support; Augmented reality; Back; Computer architecture; Engineering drawings; Humans; Industrial engineering; Laboratories; Man machine systems; Prototypes; Wearable computers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wearable Computers, 2005. Proceedings. Ninth IEEE International Symposium on
  • Print_ISBN
    0-7695-2419-2
  • Type

    conf

  • DOI
    10.1109/ISWC.2005.11
  • Filename
    1550794