School of Computer Science, University of Hull, Kingston upon Hull HU6 7RX, UK.
Air Quality Management Resource Centre, University of the West of England, Bristol BS16 1QY, UK.
Sensors (Basel). 2023 Mar 30;23(7):3613. doi: 10.3390/s23073613.
The topic of indoor air pollution has yet to receive the same level of attention as ambient pollution. We spend considerable time indoors, and poorer indoor air quality affects most of us, particularly people with respiratory and other health conditions. There is a pressing need for methodological case studies focusing on informing households about the causes and harms of indoor air pollution and supporting changes in behaviour around different indoor activities that cause it. The use of indoor air quality (IAQ) sensor data to support behaviour change is the focus of our research in this paper. We have conducted two studies-first, to evaluate the effectiveness of the IAQ data visualisation as a trigger for the natural reflection capability of human beings to raise awareness. This study was performed without the scaffolding of a formal behaviour change model. In the second study, we showcase how a behaviour psychology model, COM-B (Capability, Opportunity, and Motivation-Behaviour), can be operationalised as a means of digital intervention to support behaviour change. We have developed four digital interventions manifested through a digital platform. We have demonstrated that it is possible to change behaviour concerning indoor activities using the COM-B model. We have also observed a measurable change in indoor air quality. In addition, qualitative analysis has shown that the awareness level among occupants has improved due to our approach of utilising IoT sensor data with COM-B-based digital interventions.
室内空气污染问题尚未得到像环境空气污染问题那样的重视。我们在室内度过大量时间，较差的室内空气质量影响着我们大多数人，尤其是患有呼吸道疾病和其他健康问题的人群。目前迫切需要开展以案例研究为基础的方法学研究，重点是让家庭了解室内空气污染的原因和危害，并支持针对不同造成室内空气污染的室内活动进行行为改变。本文的研究重点是使用室内空气质量（IAQ）传感器数据来支持行为改变。我们进行了两项研究：首先，评估 IAQ 数据可视化作为触发人类自然反思能力以提高意识的手段的有效性。这项研究是在没有正式行为改变模型支撑的情况下进行的。在第二项研究中，我们展示了行为心理学模型 COM-B（能力、机会和动机-行为）如何能够作为一种数字干预手段来支持行为改变。我们已经通过一个数字平台开发了四个数字干预措施。我们已经证明，使用 COM-B 模型改变与室内活动相关的行为是可行的。我们还观察到室内空气质量有了可衡量的变化。此外，定性分析表明，由于我们采用了基于 COM-B 的物联网传感器数据的数字干预方法，居住者的意识水平得到了提高。
