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» Identifying emotional states using keystroke dynamics
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CHI
2011
ACM
13 years 2 months ago
Identifying emotional states using keystroke dynamics
The ability to recognize emotions is an important part of building intelligent computers. Emotionally-aware systems would have a rich context from which to make appropriate decisi...
Clayton Epp, Michael Lippold, Regan L. Mandryk
ATAL
2008
Springer
14 years 1 months ago
Towards background emotion modeling for embodied virtual agents
For the realistic simulation of embodied agents we need a model of emotion that represents both structural and dynamic aspects of emotional phenomena to serve as background suppor...
Luís Morgado, Graça Gaspar
IJCAI
2007
14 years 18 days ago
Emotions as Durative Dynamic State for Action Selection
Human intelligence requires decades of full-time training before it can be reliably utilised in modern economies. In contrast, AI agents must be made reliable but interesting in r...
Emmanuel Tanguy, Philip J. Willis, Joanna Bryson
EMNLP
2008
14 years 18 days ago
Ranking Reader Emotions Using Pairwise Loss Minimization and Emotional Distribution Regression
This paper presents two approaches to ranking reader emotions of documents. Past studies assign a document to a single emotion category, so their methods cannot be applied directl...
Kevin Hsin-Yih Lin, Hsin-Hsi Chen
DSN
2009
IEEE
14 years 6 months ago
Comparing anomaly-detection algorithms for keystroke dynamics
Keystroke dynamics—the analysis of typing rhythms to discriminate among users—has been proposed for detecting impostors (i.e., both insiders and external attackers). Since man...
Kevin S. Killourhy, Roy A. Maxion