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Audomni:超级规模感觉补充,提高盲人和低视力个体的活动能力——一项试点研究。

Audomni: Super-Scale Sensory Supplementation to Increase the Mobility of Blind and Low-Vision Individuals-A Pilot Study.

出版信息

IEEE Trans Neural Syst Rehabil Eng. 2020 May;28(5):1187-1197. doi: 10.1109/TNSRE.2020.2985626. Epub 2020 Apr 3.

Abstract

OBJECTIVE

Blindness and low vision have severe effects on individuals' quality of life and socioeconomic cost; a main contributor of which is a prevalent and acutely decreased mobility level. To alleviate this, numerous technological solutions have been proposed in the last 70 years; however, none has become widespread.

METHOD

In this paper, we introduce the vision-to-audio, super-scale sensory substitution/supplementation device Audomni; we address the field-encompassing issues of ill-motivated and overabundant test methodologies and metrics; and we utilize our proposed Desire of Use model to evaluate proposed pilot user tests, their results, and Audomni itself.

RESULTS

Audomni holds a spatial resolution of 80 x 60 pixels at ~1.2° angular resolution and close to real-time temporal resolution, outdoor-viable technology, and several novel differentiation methods. The tests indicated that Audomni has a low learning curve, and several key mobility subtasks were accomplished; however, the tests would benefit from higher real-life motivation and data collection affordability.

CONCLUSION

Audomni shows promise to be a viable mobility device - with some addressable issues. Employing Desire of Use to design future tests should provide both high real-life motivation and relevance to them.

SIGNIFICANCE

As far as we know, Audomni features the greatest information conveyance rate in the field, yet seems to offer comprehensible and fairly intuitive sonification; this work is also the first to utilize Desire of Use as a tool to evaluate user tests, a device, and to lay out an overarching project aim.

摘要

目的

失明和低视力对个人的生活质量和社会经济成本有严重影响;其中一个主要原因是普遍存在且急剧下降的移动能力水平。为了缓解这一问题,在过去的 70 年中提出了许多技术解决方案;然而,没有一种得到广泛应用。

方法

在本文中,我们介绍了视觉到听觉的、超大规模的感觉替代/补充设备 Audomni;我们解决了动机不足和过度丰富的测试方法和指标的领域问题;我们利用我们提出的使用意愿模型来评估拟议的试点用户测试、其结果和 Audomni 本身。

结果

Audomni 具有 80 x 60 像素的空间分辨率,视角分辨率约为 1.2°,接近实时的时间分辨率、户外可行的技术和几种新颖的差异化方法。测试表明,Audomni 的学习曲线较低,并且完成了几个关键的移动子任务;然而,测试将受益于更高的现实生活动机和数据收集能力。

结论

Audomni 有望成为一种可行的移动设备——但存在一些可解决的问题。在未来的测试中使用使用意愿模型应该既提供高度的现实生活动机,又与测试相关。

意义

据我们所知,Audomni 具有该领域最大的信息传输率,但似乎提供了可理解和相当直观的声音化;这项工作也是首次将使用意愿作为一种工具来评估用户测试、设备,并制定总体项目目标。

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