Differences between Android and iOS Users of the TrackYourTinnitus Mobile Crowdsensing mHealth Platform

Pryss, Rüdiger and Reichert, Manfred and Schlee, Winfried and Spiliopoulou, Myra and Langguth, Berthold and Probst, Thomas (2018) Differences between Android and iOS Users of the TrackYourTinnitus Mobile Crowdsensing mHealth Platform. In: 31th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2018), June 18 - 21, 2018, Karlstad, Sweden.

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Presently, mHealth technology is often applied in the context of chronic diseases to gather data that may lead to new and valuable medical insights. As many aspects of chronic diseases are not completely understood, new data sources might be promising. mHealth technology may help in this context as it can be easily used in everyday life. Moreover, the bring your own device principle encourages many patients to use their smartphone to learn more about their disease. The less is known about a disorder (e.g., tinnitus), the more patients crave for new insights and opportunities. Despite the fact that existing mHealth technology like mobile crowdsensing has already gathered data that may help patients, in general, less is known whether and how data gathered with different mobile technologies may differ. In this context, one relevant aspect is the contribution of the mobile operating system itself. For example, are there differences between Android and iOS users that utilize the same mHealth technology for a disease. In the TrackYourTinnitus project, a mobile crowdsensing mHealth platform was developed to gather data for tinnitus patients in order to reveal new insights on this disorder with high economic and patient-related burdens. As many data sets were gathered during the last years that enable us to compare Android and iOS users, the work at hand compares characteristics of these users. Interesting insights like the one that Android users with tinnitus are significantly older than iOS users could be revealed by our study. However, more evaluations are necessary for TrackYourTinnitus in particular and mHealth technology in general to understand how smartphones affect the gathering of data on chronic diseases when using them in the large.

Item Type: Conference or Workshop Item (Paper)
Subjects: DBIS Research > Publications
Divisions: Faculty of Engineering, Electronics and Computer Science > Institute of Databases and Informations Systems > DBIS Research and Teaching > DBIS Research > Publications
Depositing User: Ruediger Pryss
Date Deposited: 15 Jul 2018 20:11
Last Modified: 27 Jul 2018 13:38
URI: http://dbis.eprints.uni-ulm.de/id/eprint/1638

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