scholarly journals Designing an Indoor Air Quality Monitoring App for Asthma Management in Children: User-Centered Design Approach (Preprint)

10.2196/27447 ◽  
2021 ◽  
Author(s):  
Sunyoung Kim ◽  
Yunoh Park

2021 ◽  
Author(s):  
Sunyoung Kim ◽  
Yunoh Park

BACKGROUND Indoor air pollution is a well-known risk factor that triggers and exacerbates asthma, the most common pediatric chronic disease. Using a mobile app to monitor indoor air quality could be promising in engaging children in keeping their indoor air quality clean and healthy as the basis of environmental secondary prevention for asthma management. No app is available, however, to allow children to monitor, assess, and improve their indoor air quality. OBJECTIVE The objective of this study is to design a mobile app that encourages children to engage in monitoring indoor air quality and tracking their asthma conditions through a user-centered, iterative design approach. METHODS We conducted a review of existing applications and two sets of semi-structured interviews with 12 children with asthma, through which we iteratively created prototypes and evaluated and revised them accordingly. RESULTS Participants raised a series of outstanding questions on the prototype features and content that described their needs and perspectives, which informed the final designs. Following the identified requirements and recommendations, we developed two versions of the app, AirBuddy for presenting concrete information for indoor air quality and AirPet for gamifying the practice of monitoring indoor air quality. CONCLUSIONS By following an iterative, user-centered design process, we developed two versions of an app to encourage children with asthma to monitor indoor air quality and track their asthma condition. The user-centered design approach revealed two crucial aspects that require deeper consideration when creating a child-friendly app, including balancing brevity and expressivity and the longitudinal effects of gamification. As a next step, we plan to conduct a longitudinal deployment study to evaluate the real-world effects of our apps.



Author(s):  
A. Hernández-Gordillo ◽  
S. Ruiz-Correa ◽  
V. Robledo-Valero ◽  
C. Hernández-Rosales ◽  
S. Arriaga


2021 ◽  
Author(s):  
Jagriti Saini ◽  
Maitreyee Dutta ◽  
Gonçalo Marques






2021 ◽  
Vol 11 (3) ◽  
pp. 1-14
Author(s):  
Rasha AbdulWahhab ◽  
Karan Jetly Jetly ◽  
Shqran Shakir

Research activity in the field of monitoring indoor quality systems has increased dramatically in recent years. Monitoring closed areas can reduce health-related risks due to poor or contaminated air quality. In the current COVID pandemic, the population has observed that improving ventilation in the closed area can significantly reduce infection risk. However, the significance of air quality statistics makes highly accurate real-time monitoring systems vital. In this paper, several researchers' protocols and the methodologies for monitoring a good high indoor air quality system are presented. The majority of the reviewed works are aimed to reduce air pollution levels of the atmosphere. The vast majority of the identified works utilized IoT and WSN technology to fix the partial access to sensed data, high cost, and non-scalability of conventional air monitoring systems. Furthermore, ad-hoc approaches are predominantly used to help society change its attitude and impose corrective actions to improve air quality. This paper presents a short but comprehensive review of several researchers works with different approaches to ecological trend analysis capabilities, drawing on existing literature works. Overall, the findings highlight the need for developing systematic protocols for these systems and establishing smart air quality monitoring systems capable of measuring pollutant concentrations in the air.





Sign in / Sign up

Export Citation Format

Share Document