Toward Machine Emotional Intelligence: Analysis of Affective Physiological State
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
Measurement of user frustration: a biologic approach
CHI '03 Extended Abstracts on Human Factors in Computing Systems
Emotion in human-computer interaction
The human-computer interaction handbook
Understanding users' experience of interaction
EACE '05 Proceedings of the 2005 annual conference on European association of cognitive ergonomics
Measuring emotional valence during interactive experiences: boys at video game play
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Measuring multiple components of emotions in interactive contexts
CHI '06 Extended Abstracts on Human Factors in Computing Systems
Increasing student retention in computer science through research programs for undergraduates
ACM SIGGRAPH 2006 Educators program
The FaceReader: measuring instant fun of use
Proceedings of the 4th Nordic conference on Human-computer interaction: changing roles
Emotion representation and physiology assignments in digital systems
Interacting with Computers
Increasing student retention in computer science through research programs for undergraduates
Proceedings of the 38th SIGCSE technical symposium on Computer science education
A Multi-method Approach to the Assessment of Web Page Designs
ACII '07 Proceedings of the 2nd international conference on Affective Computing and Intelligent Interaction
BCS-HCI '07 Proceedings of the 21st British HCI Group Annual Conference on People and Computers: HCI...but not as we know it - Volume 2
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: intelligent multimodal interaction environments
UX_Mate: from facial expressions to UX evaluation
Proceedings of the Designing Interactive Systems Conference
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The study of users' emotional behavior in the Human-Computer Interaction (HCI) field has received increasing attention during the last few years. Our work in this area focuses on the relationship between user emotions and perceived usability problems. Specifically, we propose to observe users' spontaneous facial expressions as a method to identify adverse-event occurrences at the user interface level.This paper reports on the results of an experiment designed to investigate the association between adverse-event occurrences during a word processing task and users' facial expressions monitored using electromyogram (EMG) sensor devices. The results suggest that an increase of task difficulty is related to an increase in specific facial muscle activity, thus creating a baseline for future developments using camera-based monitoring of facial activities.