Title: Conditional random fields for web user task recognition based on human computer interaction
Authors: Elbahi, Anis
Omri, Mohamed Nazih
Citation: WSCG 2015: poster papers proceedings: 23rd International Conference in Central Europe on Computer Graphics, Visualization and Computer Visionin co-operation with EUROGRAPHICS Association, p. 59-63.
Issue Date: 2015
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: wscg.zcu.cz/WSCG2015/CSRN-2503.pdf
ISBN: 978-80-86943-67-1
ISSN: 2464-4617
Keywords: rozpoznání vzorů;podmíněná náhodná pole;rozpoznávání aktivity e-learningu;sledování pohybu myši
Keywords in different language: pattern recognition;conditional random fields;e-learning activity recognition;mouse movement tracking
Abstract: In this paper we apply the Conditional Random Fields approach for modeling human navigational behavior based on mouse movements to recognize web user tasks. In fact, inferring activity of web users is an important topic of Human Computer Interaction. To improve the interaction process, many studies have been performed for understanding how users interact with web interfaces in order to perform a given activity. The Experimental evaluation and analysis of the results of the model we present in this paper demonstrate the efficiency of our model in human tasks recognition.
Rights: © Václav Skala - Union Agency
Appears in Collections:WSCG 2015: Poster Papers Proceedings

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/29568

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