Western Max J, Peacock Oliver J, Stathi Afroditi, Thompson Dylan
Department for Health, University of Bath, Bath, BA2 7AY, United Kingdom.
PLoS One. 2015 May 4;10(5):e0126156. doi: 10.1371/journal.pone.0126156. eCollection 2015.
Innovative physical activity monitoring technology can be used to depict rich visual feedback that encompasses the various aspects of physical activity known to be important for health. However, it is unknown whether patients who are at risk of chronic disease would understand such sophisticated personalised feedback or whether they would find it useful and motivating. The purpose of the present study was to determine whether technology-enabled multidimensional physical activity graphics and visualisations are comprehensible and usable for patients at risk of chronic disease.
We developed several iterations of graphics depicting minute-by-minute activity patterns and integrated physical activity health targets. Subsequently, patients at moderate/high risk of chronic disease (n=29) and healthcare practitioners (n=15) from South West England underwent full 7-days activity monitoring followed by individual semi-structured interviews in which they were asked to comment on their own personalised visual feedback Framework analysis was used to gauge their interpretation and of personalised feedback, graphics and visualisations.
We identified two main components focussing on (a) the interpretation of feedback designs and data and (b) the impact of personalised visual physical activity feedback on facilitation of health behaviour change. Participants demonstrated a clear ability to understand the sophisticated personal information plus an enhanced physical activity knowledge. They reported that receiving multidimensional feedback was motivating and could be usefully applied to facilitate their efforts in becoming more physically active.
Multidimensional physical activity feedback can be made comprehensible, informative and motivational by using appropriate graphics and visualisations. There is an opportunity to exploit the full potential created by technological innovation and provide sophisticated personalised physical activity feedback as an adjunct to support behaviour change.
创新的身体活动监测技术可用于呈现丰富的视觉反馈，涵盖已知对健康重要的身体活动的各个方面。然而，尚不清楚慢性病风险患者是否能理解这种复杂的个性化反馈，或者他们是否会觉得其有用且具有激励作用。本研究的目的是确定技术支持的多维身体活动图形和可视化对慢性病风险患者是否易于理解和可用。
我们开发了几个版本的图形，描绘逐分钟的活动模式并整合身体活动健康目标。随后，来自英格兰西南部的中度/高度慢性病风险患者（n = 29）和医疗从业者（n = 15）进行了为期7天的全面活动监测，随后进行了个人半结构化访谈，在访谈中要求他们对自己的个性化视觉反馈发表评论。框架分析用于评估他们对个性化反馈、图形和可视化的理解。
我们确定了两个主要组成部分，重点关注（a）反馈设计和数据的解释，以及（b）个性化视觉身体活动反馈对促进健康行为改变的影响。参与者表现出清晰的能力来理解复杂的个人信息以及增强的身体活动知识。他们报告说，收到多维反馈具有激励作用，并且可以有效地用于促进他们在增加身体活动方面的努力。
通过使用适当的图形和可视化，多维身体活动反馈可以变得易于理解、信息丰富且具有激励作用。有机会充分利用技术创新创造的潜力，并提供复杂的个性化身体活动反馈作为支持行为改变的辅助手段。
