拓扑语音算法:空间信息的直观感官替代

Benedetta Heimler, Amir Shur, Ophir Netzer, Tomer Behor, A. Amedi
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引用次数: 1

摘要

有没有可能在没有视觉的情况下快速而可靠地理解空间中物体的位置?这是盲人每天面临的最大挑战之一。我们开发了一种名为Topo-Speech的新算法,它通过语音操作来传达物体的空间位置。我们对蒙住眼睛的视力正常的成年人(n=5)进行了一项试点研究,以测试用户在使用Topo-Speech进行短暂训练后定位物体空间位置的程度,以及他们定位未经训练的空间位置的能力。参与者接受了大约30分钟的训练,学习在3×3网格上检测物体的位置。然后在相同的空间位置(尽管使用不同的刺激)对他们进行测试。最后,在没有任何特殊训练的情况下,测试参与者识别5×5网格上物体的位置(即额外的空间位置)。我们的研究结果表明,参与者在训练和未训练的空间位置上的表现都明显高于机会。这反过来又表明拓扑语音通过非视觉通道传达空间相关信息的可行性,并提示人们快速测试视障人士的这种方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Topo-Speech Algorithm: An intuitive Sensory Substitution for Spatial Information
Is it possible to quickly and reliably understand the position of objects in space without vision? This is one of the biggest challenge blind people face daily. We developed a novel algorithm called the Topo-Speech which conveys the spatial position of objects via speech manipulations. We ran a pilot study on blindfolded sighted adults (n=5) to test the extent to which users can locate objects’ spatial positions after short training with the Topo-Speech, as well as their ability to locate untrained spatial positions. Participants were trained for ~30 minutes on the detection of objects’ positions on a 3×3 grid. Then they were tested on the same spatial locations (though using different stimuli). Finally, participants were tested on identifying the positions of objects on a 5×5 grid (i.e. additional spatial locations) without any specific training. Our results showed that participants performed significantly above chance for both trained and untrained spatial positions. This in turn suggests the feasibility of the Topo-Speech to convey spatial related information via a non-visual channel and prompt to quickly test such approach with people who are visually impaired.
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