Reference : Evaluating the Probabilistic side of Proactive Computing using Cognitive Modelling Me...

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/17711

Title :	Evaluating the Probabilistic side of Proactive Computing using Cognitive Modelling Methodology and the Statistical Inference of User’s Cognitive States
Language :	English
Author, co-author :	Shirnin, Denis [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
	Zampunieris, Denis [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Publication date :	2014
Main document title :	Proceedings of 2014 IEEE 13th International Conference on Cognitive Informatics and Cognitive Computing - London, UK
Publisher :	IEEE
Pages :	449-454
Peer reviewed :	Yes
On invitation :	No
Audience :	International
ISBN :	978-1-4799-6080-4
Event name :	ICCI*CC 2014 - The IEEE 13th International Conference Series on Cognitive Informatics and Cognitive Computing 2014
Event date :	18-20 August 2014
Event place (city) :	London
Event country :	United Kingdom
Keywords :	[en] Cognitive modelling ; Proactive Computing ; Model evaluation ; Cognitive inference engines
Abstract :	[en] In the following paper we present the work in progress, which aims to validate through theoretical and em- pirical study the probabilistic side of proactive computing. We choose the cognitive modelling methodology as an approach to implement the probabilistic inference of user’s cognitive states during online activity. We create four cognitive models, which simulate various cognitive states of a user during the task of online search of medical terminology. Additionally, we elaborate several potential scenarios, which may take place during the given task, and we associate these scenarios with our models as the integral elements of the proactive system behaviour. Ultimately, by applying the rules of the Bayesian statistics, we envision to test the principles of proactive computing in the frame of probabilistic approach.
Permalink :	http://hdl.handle.net/10993/17711
DOI :	10.1109/ICCI-CC.2014.6921497
Other URL :	http://dx.doi.org/10.1109/ICCI-CC.2014.6921497
Mentions required by the publisher for OA :	Proceedings of ICCI*CC 2014 - The IEEE International Conference Series on Cognitive Informatics and Cognitive Computing 2014
Commentary :	Proceedings of ICCI*CC 2014 - The IEEE International Conference Series on Cognitive Informatics and Cognitive Computing 2014. Presented as a Poster.

	File(s) associated to this reference
	Fulltext file(s): File Commentary Version Size Access Open access IEEE ICCICC'14 Proceedings.pdf Publisher postprint 327.61 kB View/Open Additional material(s): File Commentary Size Access Open access ICCI_CC_poster_shirnin_20140804.pdf Poster presented at the conference 240.07 kB View/Open

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