Personalizing Loneliness Detection Through Behavioral 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...
Main Authors: | Malik Muhammad Qirtas, Eleanor Bantry White, Evi Zafeiridi, Dirk Pesch |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10223208/ |
Similar Items
-
The relationship between loneliness and depression among college students: Mining data derived from passive sensing
by: Malik Muhammad Qirtas, et al.
Published: (2023-11-01) -
Loneliness and Social Isolation Detection Using Passive Sensing Techniques: Scoping Review
by: Malik Muhammad Qirtas, et al.
Published: (2022-04-01) -
Smartphone addiction in medical students: Association with perceived stress, personality factors and loneliness
by: Nitisha Verma, et al.
Published: (2023-01-01) -
Evaluation of the sense of loneliness and its selected subjective determinants in patients after stroke
by: Dominika Uberman-Kluz, et al.
Published: (2024-03-01) -
The Cost of Impression Management to Life Satisfaction: Sense of Control and Loneliness as Mediators
by: Wang W, et al.
Published: (2020-05-01)