Chen Ruijia, Jiang Junru, Maheshwary Pragati, Cochran Brianna R, Zhao Yuhang
Department of Computer Sciences University of Wisconsin-Madison Madison, Wisconsin, USA.
Human Computer Interaction Institute Carnegie Mellon University Pittsburgh, Pennsylvania, USA.
Proc SIGCHI Conf Hum Factor Comput Syst. 2025 Apr;2025. doi: 10.1145/3706598.3713847. Epub 2025 Apr 25.
Landmarks are critical in navigation, supporting self-orientation and mental model development. Similar to sighted people, people with low vision (PLV) frequently look for landmarks via visual cues but face difficulties identifying some important landmarks due to vision loss. We first conducted a formative study with six PLV to characterize their challenges and strategies in landmark selection, identifying their unique landmark categories (e.g., area silhouettes, accessibility-related objects) and preferred landmark augmentations. We then designed , an AR interface that supports landmark perception for PLV by providing both overviews of space structures and in-situ landmark augmentations. We evaluated VisiMark with 16 PLV and found that VisiMark enabled PLV to perceive landmarks they preferred but could not easily perceive before, and changed PLV's landmark selection from only visually-salient objects to cognitive landmarks that are more important and meaningful. We further derive design considerations for AR-based landmark augmentation systems for PLV.
地标在导航中至关重要,有助于自我定位和心智模型的发展。与视力正常的人一样,低视力者经常通过视觉线索寻找地标,但由于视力丧失,他们在识别一些重要地标时面临困难。我们首先对六名低视力者进行了一项形成性研究,以描述他们在地标选择方面的挑战和策略,确定他们独特的地标类别(例如,区域轮廓、与无障碍相关的物体)以及首选的地标增强方式。然后,我们设计了一个增强现实(AR)界面,通过提供空间结构的概述和现场地标增强功能,来支持低视力者的地标感知。我们对16名低视力者进行了VisiMark评估,发现VisiMark使低视力者能够感知他们之前难以轻易感知到的首选地标,并将低视力者的地标选择从仅视觉上突出的物体转变为更重要、更有意义的认知地标。我们进一步得出了针对低视力者的基于增强现实的地标增强系统的设计考量。