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