Photo

Christina Karagianni

POSITION
RAIS-AUTH-ESR13
TITLE
Using wearable technologies to understand social context
HOST INSTITUTION
Aristotle University of Thessaloniki (AUTH)
SUPERVISORY COMMITTEE
Prof Athena Vakali
START DATE
2022-04-08
KEYWORDS
Wearable analytics, User engagement, Data analysis, Machine learning, IoT, Mental health

SHORT BIO

N/A

RESEARCH INTERESTS

N/A

RESEARCH

The gap between wearable devices in the research world and commercial technologies has been decreasing in the last few years. My research interests within the RAIS project lie in understanding how peoples’ emotions change, focusing on stress and the severity of depressive symptoms. My goal is to study the between- and within-person variability regarding emotions, stress, and mental outbreaks. I aim to connect my research to different disciplinary fields: data analysis, machine learning, and mental health studies. This approach aims to predict daily mood and the presence of depressive symptoms to detect risks and possibly help mitigate anxiety and depression.

PUBLICATIONS

N/A
WEBSITE
N/A
eMAIL
N/A
TELEPHONE
N/A
FAX NO.
N/A
POSTAL ADDRESS
N/A