Human emotion recognition: Review of sensors and methods
Automated emotion recognition (AEE) is an important issue in various fields of activities
which use human emotional reactions as a signal for marketing, technical equipment, or …
which use human emotional reactions as a signal for marketing, technical equipment, or …
Affect detection: An interdisciplinary review of models, methods, and their applications
This survey describes recent progress in the field of Affective Computing (AC), with a focus
on affect detection. Although many AC researchers have traditionally attempted to remain …
on affect detection. Although many AC researchers have traditionally attempted to remain …
Learning action representations for reinforcement learning
Most model-free reinforcement learning methods leverage state representations
(embeddings) for generalization, but either ignore structure in the space of actions or …
(embeddings) for generalization, but either ignore structure in the space of actions or …
Better to be frustrated than bored: The incidence, persistence, and impact of learners' cognitive–affective states during interactions with three different computer-based …
We study the incidence (rate of occurrence), persistence (rate of reoccurrence immediately
after occurrence), and impact (effect on behavior) of students' cognitive–affective states …
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
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 …
Communications and Technology, approached Mike Spector and asked if he would like to …
Affective e-learning: Using “emotional” data to improve learning in pervasive learning environment
Using emotion detection technologies from biophysical signals, this study explored how
emotion evolves during learning process and how emotion feedback could be used to …
emotion evolves during learning process and how emotion feedback could be used to …
[图书][B] Interactions with search systems
RW White - 2016 - books.google.com
Information seeking is a fundamental human activity. In the modern world, it is frequently
conducted through interactions with search systems. The retrieval and comprehension of …
conducted through interactions with search systems. The retrieval and comprehension of …
Automatic prediction of frustration
Predicting when a person might be frustrated can provide an intelligent system with
important information about when to initiate interaction. For example, an automated …
important information about when to initiate interaction. For example, an automated …
One-to-one technology-enhanced learning: An opportunity for global research collaboration
Over the next 10 years, we anticipate that personal, portable, wirelessly-networked
technologies will become ubiquitous in the lives of learners—indeed, in many countries, this …
technologies will become ubiquitous in the lives of learners—indeed, in many countries, this …
Multimodal semi-automated affect detection from conversational cues, gross body language, and facial features
SK D'mello, A Graesser - User Modeling and User-Adapted Interaction, 2010 - Springer
We developed and evaluated a multimodal affect detector that combines conversational
cues, gross body language, and facial features. The multimodal affect detector uses feature …
cues, gross body language, and facial features. The multimodal affect detector uses feature …