Recognizing Context-Aware Human Sociability Patterns Using Pervasive Monitoring for Supporting Mental Health Professionals

Recognizing Context-Aware Human Sociability Patterns Using Pervasive Monitoring for Supporting Mental Health Professionals

Traditionally, mental health specialists monitor their patients’ social behavior by applying subjective self-report questionnaires in face-to-face meetings. Usually, the application of the self-report questionnaire is limited by cognitive biases (e.g., memory bias and social desirability). As an alt...

Full description

Bibliographic Details
Main Authors: Ivan Rodrigues de Moura, Ariel Soares Teles, Markus Endler, Luciano Reis Coutinho, Francisco José da Silva e Silva
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Sensors
Subjects:
mental health
pervasive computing
context awareness
sociability
social behavior
sociability pattern
Online Access:https://www.mdpi.com/1424-8220/21/1/86

Internet

https://www.mdpi.com/1424-8220/21/1/86

Similar Items