A review of emotion recognition methods from keystroke, mouse, and touchscreen dynamics
Emotion can be defined as a subject's organismic response to an external or internal
stimulus event. The responses could be reflected in pattern changes of the subject's facial …
stimulus event. The responses could be reflected in pattern changes of the subject's facial …
Improving the measurement of self-regulated learning using multi-channel data
In recent years, unobtrusive measures of self-regulated learning (SRL) processes based on
log data recorded by digital learning environments have attracted increasing attention …
log data recorded by digital learning environments have attracted increasing attention …
Data-driven online learning engagement detection via facial expression and mouse behavior recognition technology
Online learning engagement detection is a fundamental problem in educational information
technology. Efficient detection of students' learning situations can provide information to …
technology. Efficient detection of students' learning situations can provide information to …
A machine learning approach to leverage individual keyboard and mouse interaction behavior from multiple users in real-world learning scenarios
There is strong evidence that emotions influence the learning process. For this reason, we
explore the relevance of individual and general mouse and keyboard interaction patterns in …
explore the relevance of individual and general mouse and keyboard interaction patterns in …
[PDF][PDF] Mind over mouse: The effect of cognitive load on mouse movement behavior
M Grimes, J Valacich - 2015 - researchgate.net
Identifying when users are experiencing heightened cognitive load has a number of
important applications for businesses, online education, and personal computer use. In this …
important applications for businesses, online education, and personal computer use. In this …
Automatic identification of student's cognitive style from online laboratory experimentation using machine learning techniques
Online learning has emerged as powerful learning methods for the transformation from
traditional education to open learning through smart learning platforms due to Covid-19 …
traditional education to open learning through smart learning platforms due to Covid-19 …
Towards Non-Invasive Recognition of Developers' Flow States with Computer Interaction Traces
Z Zheng, L Wang, Y Cao, Y Zhuang… - 2019 26th Asia-Pacific …, 2019 - ieeexplore.ieee.org
Flow is a holistic description of people's optimal experiences during creative activities that
can be characterized as being totally concentrated on, and actively involved in the task …
can be characterized as being totally concentrated on, and actively involved in the task …
An affect detector model for gamers on a role-playing game through mouse movements
In this study, the researchers have modeled an affect detector based on the mouse
movements that they have gathered while the respondents, as casual or core gamers, are …
movements that they have gathered while the respondents, as casual or core gamers, are …
A Review of Automatic Detection of Learner States in Four Typical Learning Scenarios
G Wang, C Gong, S Wang - International Conference on Human-Computer …, 2022 - Springer
Artificial intelligence technology has already been applied in the education scene, and the
automatic detecting technology of learning state has attracted the attention of many …
automatic detecting technology of learning state has attracted the attention of many …
Intelligent Virtual Tutor for Online Laboratory Experiments Based on Modelling the Student's Mouse Interaction Behavior
COVID-19 pandemic has led to a great interest in online learning systems. However, the
lack of suitable online laboratory learning systems has posed a particular challenge for …
lack of suitable online laboratory learning systems has posed a particular challenge for …