While being able to read with screen magnifiers, low vision people have slow and unpleasant reading experiences. Eye tracking has the potential to improve their experience by recognizing fine-grained gaze behaviors and providing more targeted enhancements. To inspire gaze-based low vision technology, we investigate the suitable method to collect low vision users' gaze data via commercial eye trackers and thoroughly explore their challenges in reading based on their gaze behaviors. With an improved calibration interface, we collected the gaze data of 20 low vision participants and 20 sighted controls who performed reading tasks on a computer screen; low vision participants were also asked to read with different screen magnifiers. We found that, with an accessible calibration interface and data collection method, commercial eye trackers can collect gaze data of comparable quality from low vision and sighted people. Our study identified low vision people's unique gaze patterns during reading, building upon which, we propose design implications for gaze-based low vision technology.

翻译：尽管低视力人群能够使用屏幕放大镜进行阅读，但其阅读体验缓慢且不愉快。眼动追踪技术通过识别精细化的注视行为并提供更具针对性的增强功能，有望改善这一体验。为了启发基于注视行为的低视力技术，我们研究了通过商用眼动追踪仪收集低视力用户注视数据的适宜方法，并基于其注视行为深入探索了他们在阅读中面临的挑战。通过改进的校准界面，我们收集了20名低视力参与者和20名视力正常对照组在计算机屏幕上执行阅读任务时的注视数据；低视力参与者还被要求使用不同的屏幕放大镜进行阅读。研究发现，通过无障碍的校准界面和数据收集方法，商用眼动追踪仪能够从低视力人群与视力正常人群中收集到质量相当的注视数据。我们的研究揭示了低视力人群在阅读时的独特注视模式，并基于此提出了面向注视行为驱动的低视力技术的设计启示。