Seven HCI grand challenges
This article aims to investigate the Grand Challenges which arise in the current and
emerging landscape of rapid technological evolution towards more intelligent interactive …
emerging landscape of rapid technological evolution towards more intelligent interactive …
Engagement detection in online learning: a review
Online learners participate in various educational activities including reading, writing,
watching video tutorials, online exams, and online meetings. During the participation in …
watching video tutorials, online exams, and online meetings. During the participation in …
Survey on rgb, 3d, thermal, and multimodal approaches for facial expression recognition: History, trends, and affect-related applications
Facial expressions are an important way through which humans interact socially. Building a
system capable of automatically recognizing facial expressions from images and video has …
system capable of automatically recognizing facial expressions from images and video has …
[HTML][HTML] Multimodal data as a means to understand the learning experience
Most work in the design of learning technology uses click-streams as their primary data
source for modelling & predicting learning behaviour. In this paper we set out to quantify …
source for modelling & predicting learning behaviour. In this paper we set out to quantify …
Computer vision for assistive technologies
In the last decades there has been a tremendous increase in demand for Assistive
Technologies (AT) useful to overcome functional limitations of individuals and to improve …
Technologies (AT) useful to overcome functional limitations of individuals and to improve …
Deep facial spatiotemporal network for engagement prediction in online learning
J Liao, Y Liang, J Pan - Applied Intelligence, 2021 - Springer
Recently, online learning has been gradually accepted and approbated by the public. In this
context, an effective prediction of students' engagement can help teachers obtain timely …
context, an effective prediction of students' engagement can help teachers obtain timely …
Three-dimensional DenseNet self-attention neural network for automatic detection of student's engagement
Today, due to the widespread outbreak of the deadly coronavirus, popularly known as
COVID-19, the traditional classroom education has been shifted to computer-based …
COVID-19, the traditional classroom education has been shifted to computer-based …
Facial emotion recognition of students using convolutional neural network
I Lasri, AR Solh, M El Belkacemi - 2019 third international …, 2019 - ieeexplore.ieee.org
Nowadays, deep learning techniques know a big success in various fields including
computer vision. Indeed, a convolutional neural networks (CNN) model can be trained to …
computer vision. Indeed, a convolutional neural networks (CNN) model can be trained to …
Automatic recognition of student engagement using deep learning and facial expression
Engagement is a key indicator of the quality of learning experience, and one that plays a
major role in develo** intelligent educational interfaces. Any such interface requires the …
major role in develo** intelligent educational interfaces. Any such interface requires the …
Detecting and addressing frustration in a serious game for military training
Tutoring systems that are sensitive to affect show considerable promise for enhancing
student learning experiences. Creating successful affective responses requires …
student learning experiences. Creating successful affective responses requires …