Sonification of guidance data during road crossing for people with visual impairments or blindness
June 24, 2015 Β· Declared Dead Β· π Int. J. Hum. Comput. Stud.
"No code URL or promise found in abstract"
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Authors
Sergio Mascetti, Lorenzo Picinali, Andrea Gerino, Dragan Ahmetovic, Cristian Bernareggi
arXiv ID
1506.07272
Category
cs.HC: Human-Computer Interaction
Citations
56
Venue
Int. J. Hum. Comput. Stud.
Last Checked
3 months ago
Abstract
In the last years several solutions were proposed to support people with visual impairments or blindness during road crossing. These solutions focus on computer vision techniques for recognizing pedestrian crosswalks and computing their relative position from the user. Instead, this contribution addresses a different problem; the design of an auditory interface that can effectively guide the user during road crossing. Two original auditory guiding modes based on data sonification are presented and compared with a guiding mode based on speech messages. Experimental evaluation shows that there is no guiding mode that is best suited for all test subjects. The average time to align and cross is not significantly different among the three guiding modes, and test subjects distribute their preferences for the best guiding mode almost uniformly among the three solutions. From the experiments it also emerges that higher effort is necessary for decoding the sonified instructions if compared to the speech instructions, and that test subjects require frequent `hints' (in the form of speech messages). Despite this, more than 2/3 of test subjects prefer one of the two guiding modes based on sonification. There are two main reasons for this: firstly, with speech messages it is harder to hear the sound of the environment, and secondly sonified messages convey information about the "quantity" of the expected movement.
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