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Seven lessons for interdisciplinary research on interactive digital health interventions

机译:交互式数字健康干预的跨学科研究的七课

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摘要

Research and development for interactive digital health interventions requires multi-disciplinary expertise in identifying user needs, and developing and evaluating each intervention. Two of the central areas of expertise required are Health (broadly defined) and Human–Computer Interaction. Although these share some research methods and values, they traditionally have deep differences that can catch people unawares, and make interdisciplinary collaborations challenging, resulting in sub-optimal project outcomes. The most widely discussed is the contrast between formative evaluation (emphasised in Human–Computer Interaction) and summative evaluation (emphasised in Health research). However, the differences extend well beyond this, from the nature of accepted evidence to the culture of reporting. In this paper, we present and discuss seven lessons that we have learned about the contrasting cultures, values, assumptions and practices of Health and Human–Computer Interaction. The lessons are structured according to a research lifecycle, from establishing the state of the art for a given digital intervention, moving through the various (iterative) stages of development, evaluation and deployment, through to reporting research results. Although our focus is on enabling people from different disciplinary backgrounds to work together with better mutual understanding, we also highlight ways in which future research in this interdisciplinary space could be better supported.
机译:交互式数字健康干预措施的研究与开发需要多学科专业知识来确定用户需求,并开发和评估每种干预措施。所需的专业知识的两个主要领域是“健康”(广义)和“人机交互”。尽管它们共享某些研究方法和价值,但传统上它们之间存在着深远的差异,可以使人们意识到这一点,并使跨学科的合作具有挑战性,从而导致项目结果不理想。讨论最广泛的是形成性评估(在人机交互中强调)与总结性评估(在健康研究中强调)之间的对比。但是,从公认的证据的性质到报告的文化,差异远不止于此。在本文中,我们介绍并讨论了我们从健康和人机交互方面形成鲜明对比的文化,价值观,假设和实践所学到的七个教训。这些课程根据研究生命周期进行组织,从为给定的数字干预建立最先进的技术状态,到开发,评估和部署的各个(迭代)阶段,再到报告研究结果。尽管我们的重点是使来自不同学科背景的人们能够在更好的相互理解下一起工作,但我们也强调了可以更好地支持这一跨学科领域的未来研究的方法。

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