The growing popularity of Internet of Things' devices, sensors, and applications available on the market is pushing towards a revolution of lifelogging and its relationship with wellness. Thanks to the characteristics of pervasiveness and mobility of wearable IoT tools, we are witnessing the emergence of a new research and development domain: the eWellness. Together with this, new challenges arise, and ask for effective methods and techniques to improve the way extraction, merge, analysis, visualization, and data sharing are currently managed. In this paper, we present our research study on the eWellness domain and in particular the design and development of the SmartFit framework, aimed at supporting the collaborative visual design of IoT rules by means of End-User Development techniques.

End-user development for Lifelogging and eWellness / S. Valtolina, B.R. Barricelli (CEUR WORKSHOP PROCEEDINGS). - In: Smart Ecosystems cReation by Visual dEsign / [a cura di] C. Ardito, A. Bellucci, G. Desolda, M. Divitini, S. Mora. - [s.l] : CEUR, 2016. - pp. 42-48 (( convegno SERVE tenutosi a Bari nel 2016.

End-user development for Lifelogging and eWellness

S. Valtolina
Primo
;
B.R. Barricelli
Ultimo
2016

Abstract

The growing popularity of Internet of Things' devices, sensors, and applications available on the market is pushing towards a revolution of lifelogging and its relationship with wellness. Thanks to the characteristics of pervasiveness and mobility of wearable IoT tools, we are witnessing the emergence of a new research and development domain: the eWellness. Together with this, new challenges arise, and ask for effective methods and techniques to improve the way extraction, merge, analysis, visualization, and data sharing are currently managed. In this paper, we present our research study on the eWellness domain and in particular the design and development of the SmartFit framework, aimed at supporting the collaborative visual design of IoT rules by means of End-User Development techniques.
End User Development; Internet of Things; Design; Human Factors; ETL (extract, transform and load) operations
Settore INF/01 - Informatica
2016
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/420444
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