CHI 98 Cconference Summary on Human Factors in Computing Systems
Faces of emotion in human-computer interaction
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Proceedings of the 23rd annual international conference on Design of communication: documenting & designing for pervasive information
Measuring emotional valence during interactive experiences: boys at video game play
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Why don't people read the manual?
SIGDOC '06 Proceedings of the 24th annual ACM international conference on Design of communication
Determining the impact of computer frustration on the mood of blind users browsing the web
Proceedings of the 8th international ACM SIGACCESS conference on Computers and accessibility
Measuring emotional valence to understand the user's experience of software
International Journal of Human-Computer Studies
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
Visual complexity of websites: Effects on users' experience, physiology, performance, and memory
International Journal of Human-Computer Studies
Adaptation in virtual environments: conceptual framework and user models
Multimedia Tools and Applications
Thin slices of interaction: predicting users' task difficulty within 60 sec.
CHI '12 Extended Abstracts on Human Factors in Computing Systems
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This paper describes the use of facial EMG to provide a continuous measure of the user's emotional state. Facial EMG was recorded while female users performed five tasks to one of two web sites. Frustration index scores were developed from the corrugator EMG data by calculating a percentage score of a pre-task baseline. As predicted, the frustration index was greater for (1) novices as compared to experienced users, (2) incorrect as compared to correct answered tasks, and (3) for the web site that was rated more difficult. The frustration index was able to provide important information on web page performance.