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
Link To Document :
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