Personalising Loneliness Detection through Behavioural Grouping of Passive Sensing Data from College Students

Loneliness among college students is an increasingly prevalent issue. While technology-based methods for detection using behavioural patterns have been proposed, there remains an opportunity for improvement as insufficient attention has been given to the individual behavioral differences among stude...

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Veröffentlicht in:	IEEE access 2023-01, Vol.11, p.1-1
Hauptverfasser:	Qirtas, Malik Muhammad, White, Eleanor Bantry, Zafeiridi, Evi, Pesch, Dirk
Format:	Artikel
Sprache:	eng
Schlagworte:	Behavioral sciences Clustering College students Data models Datasets Grouping Loneliness Mental health Mobile communication mobile sensing Model accuracy passive sensing Prediction models Sensors Smart phones smartphone Smartphones Sociology Statistics Students Subgroups
Online-Zugang:	Volltext
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