Affective Student Modeling Based on Microphone and Keyboard User Actions

Authors:
Efthymios Alepis;Maria Virvou;Katerina Kabassi
Affiliations:
University of Piraeus, Greece;University of Piraeus, Greece;University of Piraeus, Greece
Venue:
ICALT '06 Proceedings of the Sixth IEEE International Conference on Advanced Learning Technologies
Year:
2006

Citing 0
Cited 5

Combining Empirical Studies of Audio-Lingual and Visual-Facial Modalities for Emotion Recognition

KES '07 Knowledge-Based Intelligent Information and Engineering Systems and the XVII Italian Workshop on Neural Networks on Proceedings of the 11th International Conference
On Improving Visual-Facial Emotion Recognition with Audio-lingual and Keyboard Stroke Pattern Information

WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Designing a multi-modal affective knowledge-based user interface: combining empirical studies

Proceedings of the 2008 conference on Knowledge-Based Software Engineering: Proceedings of the Eighth Joint Conference on Knowledge-Based Software Engineering
On assisting a visual-facial affect recognition system with keyboard-stroke pattern information

Knowledge-Based Systems
Visual affect recognition

Visual affect recognition

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents an affective educational application that bases its inferences about students' emotions on user evidence provided by the keyboard and the microphone. The actual combination of evidence from these two modes of interaction has been performed based on our innovative inference mechanism for emotions that uses stereotypes of users' affective reactions and a multi-criteria decision making theory. The user stereotypes have been resulted from an empirical study that resulted in recording common user reactions of the target group of users of the educational application.