CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
International Journal of Human-Computer Studies
Toward Machine Emotional Intelligence: Analysis of Affective Physiological State
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
The Bayes Point Machine for computer-user frustration detection via pressuremouse
Proceedings of the 2001 workshop on Perceptive user interfaces
Automatic prediction of frustration
International Journal of Human-Computer Studies
Emotional and behavioral responses to haptic stimulation
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A personal touch: recognizing users based on touch screen behavior
Proceedings of the Third International Workshop on Sensing Applications on Mobile Phones
Drag and drop the apple: the semantic weight of words and images in touch-based interaction
Proceedings of the 7th International Conference on Tangible, Embedded and Embodied Interaction
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Humans naturally use behavioral cues in their interactions with other humans. The Media Equation proposes that these same cues are directed towards media, including computers. It is probable that detection of these cues by a computer during run-time could improve usability design and analysis. A preliminary experiment testing one of these cues, Synaptics TouchPad pressure, shows that behavioral cues can be used as a critical incident indicator by detecting negative affect.