Browsing by Subject "Mobile application"

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Developing the Whole Communities–Whole Health app known as Hornsense : an experience report
(2022-05-10) Pham, Jessica K.; Julien, Christine, D. Sc.; Thomaz, Edison
The Hornsense app was designed to support Whole Communities–Whole Health, a research initiative through which a 5-year cohort study was designed in order to better understand personal and public health of entire communities. Hornsense, available for Android and iOS devices, was created to facilitate and ease the data collection process and to support community-engaged research by sharing data and results contributed by participants. This report presents a comprehensive description of Hornsense and provides a consolidation of documents including user guides, developer guides, and other information regarding the infrastructure and overall structure and organization of the project. It also describes the beta testing and deployment process of the app resulting in its first release to the app stores. The information presented in this report is intended for both technical and non-technical audiences and is organized to provide a general overview of each app feature and component first before diving into the technical details.
Health information tracking via mobile applications for individuals with chronic health conditions
(2014-05) Vance, Jane Elizabeth; Warner, David C.
By 2015, 149 million Americans are expected to be living with chronic health conditions (Anderson 2010). This number is expected to continue rising. Many chronic health conditions require those living with them to perform health self-management tasks on a regular basis. Nearly two in every five adults with one chronic condition and three out of every five adults with at least two chronic conditions track their health information. This paper investigates the use of mobile applications and the need to develop applications specifically designed for individuals living with chronic health conditions. Pew data are used to determine who is tracking their health information and how they are tracking it. Results from this analysis show that individuals with chronic health conditions have 69% greater odds of tracking health information than individuals who do not live with chronic conditions. Additionally, those with chronic conditions are 254% more likely than those without chronic conditions to track health indicators that are not related to diet, weight or exercise. These individuals are not, however, using mobile applications to track their health information. People with chronic health conditions have higher probabilities of tracking health information on paper or in their heads than their probability of tracking via a mobile application. However, the probability that individuals track health information via mobile apps increases when analyzing a subset of the population who own smartphones. After learning more about individuals with chronic conditions and their health information tracking habits, several mobile health applications are reviewed. The reviews of these applications include the features offered by the applications and their price. The paper concludes with several recommendations for developing and disseminating mobile health tracking applications to individuals with chronic conditions, as well as suggestions for future research.
The smartphone as a data collection device
(2013-08) Scaffidi, Salvatore Gregory, III; Ghosh, Joydeep
The introduction of mobile devices to the pockets and handbags of people living all over the world has made the practice of mobile computing nearly ubiquitous in modern society. iSeeMe is an Android application that empowers the user through the revelation of the vast amount of private data that mobile devices are capable of silently capturing in the background. iSeeMe strives to provide the user with a means to correlate this passively-collected information with data of personal importance to the user. This report looks into the development and implementation of the iSeeMe solution. It discusses design decisions, describes the iSeeMe architecture, and outlines the process of engineering the application. It also examines the role of personal data in modern society and explores the mobile application market to see where iSeeMe will fit in among similar applications. Finally, it analyzes the results of the development effort and identifies areas for future enhancement.