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关于交互式数字健康干预措施的跨学科研究的七点经验教训。

Seven lessons for interdisciplinary research on interactive digital health interventions.

作者信息

Blandford Ann, Gibbs Jo, Newhouse Nikki, Perski Olga, Singh Aneesha, Murray Elizabeth

机构信息

1UCL Institute of Digital Health, University College London, UK.

2UCL Interaction Centre, University College London, UK.

出版信息

Digit Health. 2018 May 3;4:2055207618770325. doi: 10.1177/2055207618770325. eCollection 2018 Jan-Dec.

Abstract

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.

摘要

交互式数字健康干预措施的研发需要多学科专业知识,涵盖确定用户需求、开发和评估每一项干预措施。所需的两个核心专业领域是(广义定义的)健康和人机交互。尽管它们有一些共同的研究方法和价值观,但传统上它们存在深刻差异,可能会让人猝不及防,使跨学科合作充满挑战,导致项目成果不尽如人意。讨论最多的是形成性评估(在人机交互中受到重视)和总结性评估(在健康研究中受到重视)之间的对比。然而,差异远不止于此,从公认证据的性质到报告文化都存在不同。在本文中,我们展示并讨论了七条经验教训,这些经验教训是我们在健康和人机交互的不同文化、价值观、假设及实践方面所学到的。这些经验教训按照研究生命周期进行组织,从确定特定数字干预措施的现有技术水平开始,历经开发、评估和部署的各个(迭代)阶段,直至报告研究结果。虽然我们的重点是让来自不同学科背景的人能够在更好的相互理解下共同工作,但我们也强调了在这个跨学科领域中如何能更好地支持未来研究的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f75d/6016567/2317c7c672c6/10.1177_2055207618770325-fig1.jpg

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