User recalled occurrences of usability errors: implications on the user experience
CHI '03 Extended Abstracts on Human Factors in Computing Systems
Emotion in human-computer interaction
The human-computer interaction handbook
Physiological responses to different WEB page designs
International Journal of Human-Computer Studies - Application of affective computing in human—Computer interaction
From mental effort to perceived usability: transforming experiences into summary assessments
CHI '04 Extended Abstracts on Human Factors in Computing Systems
Studying antecedents of emotional experiences in interactive contexts
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Comparing Two Emotion Models for Deriving Affective States from Physiological Data
Affect and Emotion in Human-Computer Interaction
Auditory-Induced Emotion: A Neglected Channel for Communication in Human-Computer Interaction
Affect and Emotion in Human-Computer Interaction
Proceedings of the 11th Brazilian Symposium on Human Factors in Computing Systems
LEMtool: measuring emotions in visual interfaces
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Perspectives on the evaluation of affective quality in social software
International Journal of Web Based Communities
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The study of users' emotional behavior as an important aspect of the user experience has been receiving increasing attention for the past few years. In this paper we discuss the multi-component character of emotions and its consideration in the area of human-technology interaction. Based on the approach proposed by Scherer [1], various aspects of emotions were investigated in an interactive context: subjective feelings, physiological activation, motor expression, cognitive appraisals, and behavioral tendencies. In an experiment emotion-related changes were detected for a number of emo tional components by using a variety of methods: rating scales for sub jec tive feelings, electromyography of facial muscles, heart rate, electrodermal activity, perfor mance data and questionnaires on cognitive appraisals. Results are discussed with respect to the correlation between the components and their associated methods. We suggest that a combination of methods provides a comprehensive basis for analyzing emotions as an aspect of the user experience.