Detecting emotions through electrodermal activity in learning contexts: A systematic review

A Horvers, N Tombeng, T Bosse, AW Lazonder… - Sensors, 2021 - mdpi.com
There is a strong increase in the use of devices that measure physiological arousal through
electrodermal activity (EDA). Although there is a long tradition of studying emotions during …

A review and meta-analysis of multimodal affect detection systems

SK D'mello, J Kory - ACM computing surveys (CSUR), 2015 - dl.acm.org
Affect detection is an important pattern recognition problem that has inspired researchers
from several areas. The field is in need of a systematic review due to the recent influx of …

Openface: an open source facial behavior analysis toolkit

T Baltrušaitis, P Robinson… - 2016 IEEE winter …, 2016 - ieeexplore.ieee.org
Over the past few years, there has been an increased interest in automatic facial behavior
analysis and understanding. We present OpenFace-an open source tool intended for …

Dynamics of affective states during complex learning

S D'Mello, A Graesser - Learning and Instruction, 2012 - Elsevier
We propose a model to explain the dynamics of affective states that emerge during deep
learning activities. The model predicts that learners in a state of engagement/flow will …

Automated detection of engagement using video-based estimation of facial expressions and heart rate

H Monkaresi, N Bosch, RA Calvo… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
We explored how computer vision techniques can be used to detect engagement while
students (N= 22) completed a structured writing activity (draft-feedback-review) similar to …

Advanced, analytic, automated (AAA) measurement of engagement during learning

S D'Mello, E Dieterle, A Duckworth - Educational psychologist, 2017 - Taylor & Francis
It is generally acknowledged that engagement plays a critical role in learning. Unfortunately,
the study of engagement has been stymied by a lack of valid and efficient measures. We …

Better to be frustrated than bored: The incidence, persistence, and impact of learners' cognitive–affective states during interactions with three different computer-based …

RSJ Baker, SK D'Mello, MMT Rodrigo… - International Journal of …, 2010 - Elsevier
We study the incidence (rate of occurrence), persistence (rate of reoccurrence immediately
after occurrence), and impact (effect on behavior) of students' cognitive–affective states …

[图书][B] Handbook of research on educational communications and technology: a project of the association for educational communications and technology

D Jonassen, MJ Spector, M Driscoll, MD Merrill… - 2008 - api.taylorfrancis.com
Early in 2005, Phil Harris, Executive Director of the Association of Educational
Communications and Technology, approached Mike Spector and asked if he would like to …

K-EmoCon, a multimodal sensor dataset for continuous emotion recognition in naturalistic conversations

CY Park, N Cha, S Kang, A Kim, AH Khandoker… - Scientific Data, 2020 - nature.com
Recognizing emotions during social interactions has many potential applications with the
popularization of low-cost mobile sensors, but a challenge remains with the lack of …

AutoTutor and affective AutoTutor: Learning by talking with cognitively and emotionally intelligent computers that talk back

S D'mello, A Graesser - ACM Transactions on Interactive Intelligent …, 2013 - dl.acm.org
We present AutoTutor and Affective AutoTutor as examples of innovative 21st century
interactive intelligent systems that promote learning and engagement. AutoTutor is an …