UML distilled: applying the standard object modeling language
UML distilled: applying the standard object modeling language
Visual modeling with Rational Rose and UML
Visual modeling with Rational Rose and UML
Perceptual user interfaces: affective perception
Communications of the ACM
The production and recognition of emotions in speech: features and algorithms
International Journal of Human-Computer Studies - Application of affective computing in humanComputer interaction
Towards a UML profile for interaction design: the wisdom approach
UML'00 Proceedings of the 3rd international conference on The unified modeling language: advancing the standard
Towards an Ontology for Describing Emotions
WSKS '08 Proceedings of the 1st world summit on The Knowledge Society: Emerging Technologies and Information Systems for the Knowledge Society
Validating a multilingual and multimodal affective database
UI-HCII'07 Proceedings of the 2nd international conference on Usability and internationalization
Emotion ontology construction from chinese knowledge
CICLing'12 Proceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I
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There is a great variety of theoretical models of emotions and implementation technologies which can be used in the design of affective computers. Consequently, designers and researchers usually made practical choices of models and develop ad-hoc solutions that sometimes lack flexibility. In this paper we introduce a generic approach to modeling emotional cues. The main component of our approach is the ontology of emotional cues. The concepts in the ontology are grouped into three global modules representing three layers of emotions’ detection or production: the emotion module, the emotional cue module, and the media module. The emotion module defines emotions as represented with emotional cues. The emotional cue module describes external emotional representations in terms of media properties. The media module describes basic media properties important for emotional cues. Proposed ontology enables flexible description of emotional cues at different levels of abstraction. This approach could serve as a guide for the flexible design of affective devices independently of the starting model and the final way of implementation.