Measuring Cognitive Load using Eye Tracking Technology in Visual Computing
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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.
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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. New York, NY: ACM Press, 2016, pp. 78-85. ISBN 978-1-4503-4818-8. Available under: doi: 10.1145/2993901.2993908BibTex
@inproceedings{Zagermann2016Measu-38076, year={2016}, doi={10.1145/2993901.2993908}, title={Measuring Cognitive Load using Eye Tracking Technology in Visual Computing}, isbn={978-1-4503-4818-8}, publisher={ACM Press}, address={New York, NY}, 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} }
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