开发动态音频导航ui来精确定位触觉图形中的元素

Gaspar Ramôa, Vincent Schmidt, P. König
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引用次数: 4

摘要

在将盲人和视障人士与世界联系起来时,获取复杂的图形信息至关重要。触觉图形阅读器可以通过听觉-触觉用户界面(UIs)访问图形数据,但这些尚未成熟。对于盲人来说,定位特定的元素是一项具有挑战性的任务,即在详细的触觉图形中找到特定的区域。为此,我们开发了三个音频导航ui,使用音频反馈动态地将用户的手引导到特定位置。一种是基于潜艇声纳的声音,另一种依赖于目标的坐标计划x和y轴,最后一种使用直接的语音指令。用户界面是在Tactonom Reader设备中实现的,这是一种新的触觉图形阅读器,可以通过精确的音频解释增强纸质图形。为了评估三种不同动态导航ui的有效性,我们进行了一项涉及13名英属维尔京群岛参与者的主题内可用性测试。除了比较不同导航界面的效果外,我们还观察并记录了视障参与者与不同导航界面的交互情况,以进一步研究视障参与者在交互过程中的行为模式。我们观察到,要求用户在直线方向上移动他们的手的用户界面更容易引起挫败感,并且经常被盲人和视障人士认为是一种挑战。分析显示,基于语音的导航UI可以最快地引导参与者到达目标,并且不需要事先培训。这表明基于语音的导航策略是为盲人设计可访问用户界面的一种很有前途的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Developing Dynamic Audio Navigation UIs to Pinpoint Elements in Tactile Graphics
Access to complex graphical information is essential when connecting blind and visually impaired (BVI) people with the world. Tactile graphics readers enable access to graphical data through audio-tactile user interfaces (UIs), but these have yet to mature. A challenging task for blind people is locating specific elements–areas in detailed tactile graphics. To this end, we developed three audio navigation UIs that dynamically guide the user’s hand to a specific position using audio feedback. One is based on submarine sonar sounds, another relies on the target’s coordinate plan x and y-axis, and the last uses direct voice instructions. The UIs were implemented in the Tactonom Reader device, a new tactile graphic reader that enhances swell paper graphics with pinpointed audio explanations. To evaluate the effectiveness of the three different dynamic navigation UIs, we conducted a within-subject usability test that involved 13 BVI participants. Beyond comparing the effectiveness of the different UIs, we observed and recorded the interaction of the visually impaired participants with the different navigation UI to further investigate their behavioral patterns during the interaction. We observed that user interfaces that required the user to move their hand in a straight direction were more likely to provoke frustration and were often perceived as challenging for blind and visually impaired people. The analysis revealed that the voice-based navigation UI guides the participant the fastest to the target and does not require prior training. This suggests that a voice-based navigation strategy is a promising approach for designing an accessible user interface for the blind.
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