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Measuring Cognitive Load using Eye Tracking Technology in Visual Computing

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ZAGERMANN, Johannes, Ulrike PFEIL, Harald REITERER, 2016. Measuring Cognitive Load using Eye Tracking Technology in Visual Computing. BELIV '16 : Proceedings of the Sixth Workshop on Beyond Time and Errors on Novel Evaluation Methods for Visualization. Baltimore, MD, USA, 24. Okt 2016. In: SEDLMAIR, Michael, ed. and others. Proceedings of the Sixth Workshop on Beyond Time and Errors on Novel Evaluation Methods for Visualization, BELIV '16. BELIV '16 : Proceedings of the Sixth Workshop on Beyond Time and Errors on Novel Evaluation Methods for Visualization. Baltimore, MD, USA, 24. Okt 2016. New York, NY:ACM Press, pp. 78-85. ISBN 978-1-4503-4818-8

@inproceedings{Zagermann2016Measu-38076, title={Measuring Cognitive Load using Eye Tracking Technology in Visual Computing}, year={2016}, doi={10.1145/2993901.2993908}, isbn={978-1-4503-4818-8}, address={New York, NY}, publisher={ACM Press}, booktitle={Proceedings of the Sixth Workshop on Beyond Time and Errors on Novel Evaluation Methods for Visualization, BELIV '16}, pages={78--85}, editor={Sedlmair, Michael}, author={Zagermann, Johannes and Pfeil, Ulrike and Reiterer, Harald} }

<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/rdf/resource/123456789/38076"> <dcterms:issued>2016</dcterms:issued> <dcterms:abstract xml:lang="eng">In this position paper we encourage the use of eye tracking measurements to investigate users' cognitive load while interacting with a system. We start with an overview of how eye movements can be interpreted to provide insight about cognitive processes and present a descriptive model representing the relations of eye movements and cognitive load. Then, we discuss how specific characteristics of human-computer interaction (HCI) interfere with the model and impede the application of eye tracking data to measure cognitive load in visual computing. As a result, we present a refined model, embedding the characteristics of HCI into the relation of eye tracking data and cognitive load. Based on this, we argue that eye tracking should be considered as a valuable instrument to analyze cognitive processes in visual computing and suggest future research directions to tackle outstanding issues.</dcterms:abstract> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/38076"/> <dc:creator>Pfeil, Ulrike</dc:creator> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2017-03-20T14:40:39Z</dc:date> <dcterms:rights rdf:resource="http://nbn-resolving.de/urn:nbn:de:bsz:352-20150914100631302-4485392-8"/> <dc:language>eng</dc:language> <dc:contributor>Reiterer, Harald</dc:contributor> <dcterms:title>Measuring Cognitive Load using Eye Tracking Technology in Visual Computing</dcterms:title> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2017-03-20T14:40:39Z</dcterms:available> <dc:creator>Zagermann, Johannes</dc:creator> <dc:creator>Reiterer, Harald</dc:creator> <dc:contributor>Zagermann, Johannes</dc:contributor> <dc:contributor>Pfeil, Ulrike</dc:contributor> </rdf:Description> </rdf:RDF>

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