Context is a fundamental tool humans use for understanding their environment, and it must be modelled in a way that accounts for the complexity faced in the real world. Current context modelling approaches mostly focus on a priori defined environments, while the majority of human life is in open, and hence complex and unpredictable, environments. We propose a context model where the context is organized according to the different dimensions of the user environment. In addition, we propose the notions of endurants and perdurants as a way to describe how humans aggregate their context depending either on space or time, respectively. To ground our modelling approach in the reality of users, we collaborate with sociology experts in an internal university project aiming at understanding how behavioral patterns of university students in their everyday life affect their academic performance. Our contribution is a methodology for developing annotations general enough to account for human life in open domains and to be consistent with both sensor data and sociological approaches.

Personal context modelling and annotation / Giunchiglia, Fausto; Bignotti, Enrico; Zeni, Mattia. - ELETTRONICO. - (2017), pp. 117-122. (Intervento presentato al convegno International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) IEEE 2017 tenutosi a Kona, HI, USA nel 13-17 March 2017) [10.1109/PERCOMW.2017.7917543].

Personal context modelling and annotation

Giunchiglia, Fausto;Bignotti, Enrico;Zeni, Mattia
2017-01-01

Abstract

Context is a fundamental tool humans use for understanding their environment, and it must be modelled in a way that accounts for the complexity faced in the real world. Current context modelling approaches mostly focus on a priori defined environments, while the majority of human life is in open, and hence complex and unpredictable, environments. We propose a context model where the context is organized according to the different dimensions of the user environment. In addition, we propose the notions of endurants and perdurants as a way to describe how humans aggregate their context depending either on space or time, respectively. To ground our modelling approach in the reality of users, we collaborate with sociology experts in an internal university project aiming at understanding how behavioral patterns of university students in their everyday life affect their academic performance. Our contribution is a methodology for developing annotations general enough to account for human life in open domains and to be consistent with both sensor data and sociological approaches.
2017
Pervasive Computing and Communications, 2017 IEEE International Conference
Piscataway, NJ USA
IEEE
978-1-5090-4338-5
Giunchiglia, Fausto; Bignotti, Enrico; Zeni, Mattia
Personal context modelling and annotation / Giunchiglia, Fausto; Bignotti, Enrico; Zeni, Mattia. - ELETTRONICO. - (2017), pp. 117-122. (Intervento presentato al convegno International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) IEEE 2017 tenutosi a Kona, HI, USA nel 13-17 March 2017) [10.1109/PERCOMW.2017.7917543].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/165538
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