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Sonification of guidance data during road crossing for people with visual impairments or blindness

机译:在道路交叉期间为有视力障碍或失明的人提供指导数据

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摘要

© 2015 Elsevier Ltd. All rights reserved.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.
机译:©2015 Elsevier Ltd.保留所有权利。在过去的几年中,提出了几种解决方案来支持在道路交叉口有视觉障碍或失明的人。这些解决方案侧重于计算机视觉技术,用于识别人行横道并从用户那里计算他们的相对位置。相反,这种贡献解决了另一个问题。听觉界面的设计可以在过马路时有效地指导用户。提出了两种基于数据声化的原始听觉引导模式,并将其与基于语音消息的引导模式进行了比较。实验评估表明,没有最适合所有测试对象的指导模式。在三种指导模式下,平均对齐和交叉时间没有显着差异,并且测试对象在三种解决方案中几乎均匀地分配了他们对最佳指导模式的偏好。从实验中还可以发现,与语音指令相比,解码语音指令需要付出更大的努力,并且测试对象需要频繁的提示(以语音消息的形式)。尽管如此,仍有超过2/3的测试对象偏爱基于声音的两种指导模式之一。造成这种情况的主要原因有两个:首先,使用语音消息很难听到环境的声音,其次,声音消息传达了有关预期运动量的信息。

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