Ergonomic evaluation of user-interfaces by means of eye-movement data
Proceedings of the third international conference on human-computer interaction, Vol.1 on Work with computers: organizational, management, stress and health aspects
Affective computing
Toward Machine Emotional Intelligence: Analysis of Affective Physiological State
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
Techniques for Plan Recognition
User Modeling and User-Adapted Interaction
Pupil size variation as an indication of affective processing
International Journal of Human-Computer Studies - Application of affective computing in human—Computer interaction
Physiological responses to different WEB page designs
International Journal of Human-Computer Studies - Application of affective computing in human—Computer interaction
Layered representations for learning and inferring office activity from multiple sensory channels
Computer Vision and Image Understanding - Special issue on event detection in video
An empirical study of machine learning techniques for affect recognition in human–robot interaction
Pattern Analysis & Applications
Pattern Recognition and Machine Learning (Information Science and Statistics)
Pattern Recognition and Machine Learning (Information Science and Statistics)
B2C Web site quality and emotions during online shopping episodes: an empirical study
Information and Management
Encouraging participation in virtual communities
Communications of the ACM - Spam and the ongoing battle for the inbox
Using noninvasive wearable computers to recognize human emotions from physiological signals
EURASIP Journal on Applied Signal Processing
ACM Transactions on Computer-Human Interaction (TOCHI)
Automated eye-movement protocol analysis
Human-Computer Interaction
A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Activity recognition using eye-gaze movements and traditional interactions
Interacting with Computers
A comparison of HMMs and dynamic bayesian networks for recognizing office activities
UM'05 Proceedings of the 10th international conference on User Modeling
| Hi-index | 0.00 |
In order to improve human-computer interaction, eye-tracking measures and physiological reactions are combined to the context of navigation and the structure of actions to analyze emotional state of users. Understanding affective reactions is essential to improve the human-computer interaction and the design of systems. In the domain of e-commerce those techniques are being used informally to observe interactions during the design of systems or for research, more systematic methods are necessary to efficiently highlight important aspects of the interaction and the emotional reactions. More so to help interpret measures it is necessary to complete measures with the recognition of structures of actions, so that reactions could be interpreted in context.