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Authors
Advisor(s)
Abstract(s)
Smart environments need to successfully identify
their user needs, personality and behaviour in order to prepare
appropriate interactions when facing different types of events.
Personality is strongly associated with human behaviour and
can be predicted with relatively accuracy by analysing online
social profiles. Due to a constant presence in the lives of their
users, online social networks have a decidedly strong social
impact leading to a blur between offline and virtual life as
well as the concept of digital identity and provide a rich source
of data that can be used to profile and understand personal
preferences and interactions of an individual. Users reveal a
lot about themselves and share their personal preferences in a
freely way and this paper exploits a new approach for smart
environments to correctly identify their user’s personality, using
online social network as a sensor.
Keywords—Online social networks,
Description
Keywords
Online social networks Personality profiling Smart environments Big Five model
Pedagogical Context
Citation
Publisher
Institute of Electrical and Electronics Engineers