Blogs (9) >>
Sun 30 October - Fri 4 November 2016 Amsterdam, Netherlands
Mon 31 Oct 2016 11:45 - 12:10 at Lausanne - Session 2

The rise of smart mobile devices presents increasing opportunities for health monitoring outside the clinic. Through the use of sensors and wearables, innovative Connected Health applications can be developed. In particular, Digital Therapeutics (DT), a type of technology-enabled intervention, can be made possible through continuous data capture, aiding users through gaining feedback on their lifestyle choices and engagement with programs of recovery, and supplementing conventional treatments for chronic disease management such as in diabetes, epilepsy, and mental health. Unfortunately, patient-facing professionals capable of articulating appropriate sensor-enabled solutions, generally lack the full range of skills to develop such systems. A connected health application may involve mobile development, data services, visualisation, machine learning, and sensor signal processing, needing multidisciplinary teams, including professional software engineers. The cost of maintaining a software team across the research and development stages may prove prohibitive for many, hindering innovation. This paper focuses on gathering requirements for \emph{data collection} in mHealth studies, and reports the initial findings after a round of interviews with researchers in areas such as psychology, physiotherapy, neurology, and health promotion education. Those requirements are framed within an existing End User Development (EUD) tool to create mobile apps for the Android platform, the open source project MIT App Inventor. The survey results highlight not only the development work needed for App Inventor to be used as a data collection tool in DT, but also a number of potential security and privacy issues, and the implementation of a \emph{layered} feedback loop with a social aspect at the heart of it.

Mon 31 Oct
Times are displayed in time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

10:30 - 12:10: Session 2Mobile! at Lausanne
10:30 - 10:55
Persistent Contextual Values as Inter-process Layers
Markus RaabVienna University of Technology, Austria
Link to publication DOI Pre-print Media Attached
10:55 - 11:20
Hacking with Multi-touch for Java (MT4j)
A: Craig AnslowMiddlesex University, UK, A: Stuart MarshallVictoria University of Wellington, New Zealand, A: James NobleVictoria University of Wellington, New Zealand, A: Robert BiddleCarleton University, Canada
DOI Pre-print File Attached
11:20 - 11:45
Regression Aware Debugging for Mobile Applications
Rohan BavishiIIT Kanpur, India, Awanish PandeyIIT Kanpur, India, Subhajit RoyIIT Kanpur, India
DOI Media Attached
11:45 - 12:10
Data Collection Requirements for Mobile Connected Health: An End User Development Approach
Jose Juan Dominguez VeigaMaynooth University, Ireland, Tomas E. WardMaynooth University, Ireland
DOI Pre-print Media Attached