[HTML][HTML] Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations
Emotion recognition is the ability to precisely infer human emotions from numerous sources
and modalities using questionnaires, physical signals, and physiological signals. Recently …
and modalities using questionnaires, physical signals, and physiological signals. Recently …
Machine learning in mental health: A systematic review of the HCI literature to support the development of effective and implementable ML systems
High prevalence of mental illness and the need for effective mental health care, combined
with recent advances in AI, has led to an increase in explorations of how the field of machine …
with recent advances in AI, has led to an increase in explorations of how the field of machine …
A review, current challenges, and future possibilities on emotion recognition using machine learning and physiological signals
The seminal work on Affective Computing in 1995 by Picard set the base for computing that
relates to, arises from, or influences emotions. Affective computing is a multidisciplinary field …
relates to, arises from, or influences emotions. Affective computing is a multidisciplinary field …
Wearable-based affect recognition—A review
Affect recognition is an interdisciplinary research field bringing together researchers from
natural and social sciences. Affect recognition research aims to detect the affective state of a …
natural and social sciences. Affect recognition research aims to detect the affective state of a …
StudentLife: assessing mental health, academic performance and behavioral trends of college students using smartphones
Much of the stress and strain of student life remains hidden. The StudentLife continuous
sensing app assesses the day-to-day and week-by-week impact of workload on stress …
sensing app assesses the day-to-day and week-by-week impact of workload on stress …
MyBehavior: automatic personalized health feedback from user behaviors and preferences using smartphones
Mobile sensing systems have made significant advances in tracking human behavior.
However, the development of personalized mobile health feedback systems is still in its …
However, the development of personalized mobile health feedback systems is still in its …
The binge-watcher's journey: Investigating motivations, contexts, and affective states surrounding Netflix viewing
The growth of Internet-distributed TV services has transformed video consumption,
enhancing the level of control that viewers have over what they watch. Along with the …
enhancing the level of control that viewers have over what they watch. Along with the …
Unobtrusive assessment of students' emotional engagement during lectures using electrodermal activity sensors
Modern wearable devices enable the continuous and unobtrusive monitoring of human
physiological parameters, including heart rate and electrodermal activity. Through the …
physiological parameters, including heart rate and electrodermal activity. Through the …
SmartGPA: how smartphones can assess and predict academic performance of college students
Many cognitive, behavioral, and environmental factors impact student learning during
college. The SmartGPA study uses passive sensing data and self-reports from students' …
college. The SmartGPA study uses passive sensing data and self-reports from students' …
n-gage: Predicting in-class emotional, behavioural and cognitive engagement in the wild
The study of student engagement has attracted growing interests to address problems such
as low academic performance, disaffection, and high dropout rates. Existing approaches to …
as low academic performance, disaffection, and high dropout rates. Existing approaches to …