Rethinking sustained healthy lifestyle change through design and evaluation of socio-technical wearable systems

“通过设计和评估社会技术可穿戴系统重新思考持续健康的生活方式改变”研究项目将研究最先进的数字技术设计如何发展，以促进、支持和维持行为改变。具体来说，该项目将通过量化的自我来关注积极生活方式的理念；用户如何与健身技术互动，如何使用技术来识别和更好地理解不活动，以及如何在说服性计算如何提供社会影响的基础工作的基础上，促进行为改变。这样做的主要目的是深入了解导致不活跃的社会技术组合，以及无处不在的技术设计的关键方面，这些技术设计可以用来尝试和对抗由此产生的不活跃。目标是研究和测试一个系统，该系统可以鼓励减少久坐行为，增加活动，以保持更积极的生活方式。从广义上讲，这项研究的目的是研究智能环境感知洞察力可以用来提供一个有效的社会技术平台来驱动特定的行为改变的方式。除了更广泛的背景信息（如日历约会和GPS位置）之外，通过例如步长跟踪器和加速度计设备捕获传感器数据等信息，将允许制定关于收集和使用这些背景数据的假设，以找到更有效的干预方法。设计研究方法将用于创建一个数字平台，该平台结合了这些多模态数据，并在智能设备中采用机器学习算法，以最有效的方式提供实时反馈，以提示和支持用户提高自我激励。这将通过创建以用户为中心的设计来实现，直接与社会技术系统合作，使这种干预有效和可持续。这项研究的重点是确定并试图减少日常生活中的不活动和久坐行为。成年人每周应参加150分钟的中等到高强度体育活动，儿童则被鼓励每天活动60分钟；在英国，普通的成年人和孩子都不能做到这两点，这在很大程度上是由于家庭科技鼓励久坐不动的行为和长时间的不活动。威尔士有17%的可预防死亡归因于不活动，如果一个人每天坐着超过8小时，过早死亡的风险会增加59%，这是一个需要解决的问题。

The "Rethinking sustained healthy lifestyle change through design and evaluation of socio-technical wearable systems" research project will examine how state-of-the-art digital technology design can evolve to prompt, support and sustain behaviour change. Specifically, the project will focus on the idea of an active lifestyle though the quantified self; How users interact with fitness technology, use technology to identify and better understand inactivity, and, building on foundational work on how persuasive computing can provide social influence, prompt behavioural changes. The main aims of this would be to generate insight into socio-technical assemblages that contribute to inactivity, and the critical aspects of ubiquitous technology design that could be used to try and combat resultant inactivity. The goal would be to research and test a system that would work to encourage a reduction in sedentary behaviour and an increase in activity with the intention of maintaining a more active lifestyle.Broadly speaking, the research will aim to look at the way intelligent context aware insights could be used to provide an effective socio-technical platform to drive specific behavioural changes. Capturing information such as sensor data, through, for example, step trackers and accelerometers devices in addition to more broad context information such as calendar appointments and GPS locations, will allow hypotheses to be formulated with regards to both collecting and using this contextual data to find more effective methods of intervention. A design-research approach will be used to create a digital platform that combines this multi-modal data and adopts machine learning algorithms inside smart devices to deliver real-time feedback to prompt and support users in the goal of increasing self-motivation in the most effective way. This will be achieved through creating user-centric designs as to work directly with the socio-technological systems to make this intervention effective and sustainable. The specific focus of this research is to identify and attempt to reduce inactivity and sedentary behaviour in everyday life. Adults should take part in 150 minutes of moderate to vigorous physical activity a week, and children are encouraged to be active for 60 minutes a day; the average adult and child in the UK fails to meet both due, in no small part, to home technology which encourages sedentary behaviour and long periods of inactivity. With 17% of preventable deaths in Wales attributed to inactivity and a 59% increase in the risk of a pre- mature death if a person sits down more than 8 hours a day, this is an issue that needs to be addressed.