eHealth technologies have been increasingly used to foster proactive self-management skills for patients with chronic diseases. However, it is challenging to provide each user with the desired support due to the dynamic and diverse nature of the chronic disease. Many such eHealth applications support aspects of 'adaptive user interfaces' -- that change or can be changed to accommodate the user and usage context differences. To identify the state-of-art in adaptive user interfaces in the field of chronic diseases, we systematically located and analysed 48 key studies in the literature with the aim of categorising the key approaches used to date and identifying limitations, gaps and trends in research. Our data synthesis, revolves around the data sources used for interface adaptation, the data collection techniques used to extract the data, the adaptive mechanisms used to process the data and the adaptive elements generated at the interface. The findings of this review will aid researchers and developers in understanding where adaptive user interface approaches can be applied and necessary considerations for employing adaptive user interfaces to different chronic disease-related eHealth applications.
翻译:由于慢性病的动态性和多样性,日益使用电子保健技术来促进慢性病患者积极主动的自我管理技能,然而,由于慢性病的动态性和多样性,向每个用户提供所需的支持是具有挑战性的。许多此类电子保健应用支持“适应性用户界面”的各方面,即变化或可以改变以适应用户和使用背景差异。为了确定慢性疾病领域适应性用户界面的最新水平,我们系统地定位和分析了48项文献中的关键研究,目的是对迄今使用的关键方法进行分类,并查明研究中的局限性、差距和趋势。我们的数据综合围绕用于接口适应的数据源、用于提取数据的数据收集技术、用于处理数据以及接口产生的适应要素的适应性机制进行。本审查的结果将有助于研究人员和开发人员了解适应性用户界面方法在哪些方面可以应用,以及将适应性用户界面应用于与慢性疾病有关的不同电子保健应用时需要考虑。