Amsterdam UMC location University of Amsterdam, Department of Medical Informatics, eHealth Living and Learning Lab, Amsterdam, The Netherlands.
Stud Health Technol Inform. 2024 Aug 22;316:1130-1134. doi: 10.3233/SHTI240609.
Eye-tracking is deemed a promising methodology for usability evaluation studies in healthcare, however clear theoretical guidance and practice remains lacking. A rapid review was performed on current use of eye tracking as a usability evaluation method on digital health technologies in the period of 2019 to 2024. Usability evaluation studies were included when they described a digital health technology intervention in which eye-tracking technologies were applied. To gain insight into how eye-tracking technologies contributed to measuring digital health technologies' usability, data was extracted on the use of eye-tracking for usability and key study findings. Seventeen papers were included in the review. Findings show that eye-tracking is frequently combined with other usability evaluation methods, with high methodological diversity, to test the usability of DHT. Future research is needed to enhance understanding of the effectiveness of eye-tracking outcomes in DHT usability testing when combined with other usability evaluation methods in order to provide (usability) researchers theoretical guidance on its application.
眼动追踪被认为是医疗保健可用性评估研究中很有前途的方法，但明确的理论指导和实践仍然缺乏。对 2019 年至 2024 年期间将眼动追踪作为数字健康技术可用性评估方法的当前使用情况进行了快速审查。当描述将眼动追踪技术应用于数字健康技术干预的数字健康技术可用性评估研究时，将其包括在内。为了深入了解眼动追踪技术如何有助于衡量数字健康技术的可用性，我们提取了有关眼动追踪用于可用性的研究数据和主要研究结果。该综述共纳入了 17 篇论文。研究结果表明，眼动追踪技术经常与其他可用性评估方法结合使用，方法学多样性很高，以测试 DHT 的可用性。未来的研究需要增强对眼动追踪结果在 DHT 可用性测试中的有效性的理解，当与其他可用性评估方法结合使用时，以便为（可用性）研究人员提供有关其应用的理论指导。
