Please use this identifier to cite or link to this item:
|Title:||The hourglass of emotions|
|Authors:||Cambria, E. |
Cognitive and Affective Modelling
|Source:||Cambria, E.,Livingstone, A.,Hussain, A. (2012). The hourglass of emotions. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7403 LNCS : 144-157. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-642-34584-5_11|
|Abstract:||Human emotions and their modelling are increasingly understood to be a crucial aspect in the development of intelligent systems. Over the past years, in fact, the adoption of psychological models of emotions has become a common trend among researchers and engineers working in the sphere of affective computing. Because of the elusive nature of emotions and the ambiguity of natural language, however, psychologists have developed many different affect models, which often are not suitable for the design of applications in fields such as affective HCI, social data mining, and sentiment analysis. To this end, we propose a novel biologically-inspired and psychologically-motivated emotion categorisation model that goes beyond mere categorical and dimensional approaches. Such model represents affective states both through labels and through four independent but concomitant affective dimensions, which can potentially describe the full range of emotional experiences that are rooted in any of us. © 2012 Springer-Verlag.|
|Source Title:||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Mar 8, 2018
checked on Mar 10, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.