ABSTRACT
Users' cognitive load while interacting with a system is a valuable metric for evaluations in HCI. We encourage the analysis of eye movements as an unobtrusive and widely available way to measure cognitive load. In this paper, we report initial findings from a user study with 26 participants working on three visual search tasks that represent different levels of difficulty. Also, we linearly increased the cognitive demand while solving the tasks. This allowed us to analyze the reaction of individual eye movements to different levels of task difficulty. Our results show how pupil dilation, blink rate, and the number of fixations and saccades per second individually react to changes in cognitive activity. We discuss how these measurements could be combined in future work to allow for a comprehensive investigation of cognitive load in interactive settings.
- Siyuan Chen, Julien Epps, and Fang Chen. 2013. Automatic and Continuous User Task Analysis via Eye Activity. In Proc. of IUI '13. ACM, New York, NY, USA, 57--66. Google ScholarDigital Library
- Siyuan Chen, Julien Epps, Natalie Ruiz, and Fang Chen. 2011. Eye Activity As a Measure of Human Mental Effort in HCI. In Proc. of IUI '11. ACM, New York, NY, USA, 315--318. Google ScholarDigital Library
- Sandra G. Hart and Lowell E Staveland. 1988. Development of NASA-TLX (Task Load Index): Results of empirical and theoretical research. Human mental workload 1, 3 (1988), 139--183.Google Scholar
- Kasper Hornbæk. 2006. Current Practice in Measuring Usability: Challenges to Usability Studies and Research. Int. J. Hum.-Comput. Stud. 64, 2 (Feb. 2006), 79--102. Google ScholarDigital Library
- Shamsi T. Iqbal, Piotr D. Adamczyk, Xianjun Sam Zheng, and Brian P. Bailey. 2005. Towards an Index of Opportunity: Understanding Changes in Mental Workload During Task Execution. In Proc. of CHI '05. ACM, New York, NY, USA, 311--320. Google ScholarDigital Library
- Bastian Pfleging, Drea K. Fekety, Albrecht Schmidt, and Andrew L. Kun. 2016. A Model Relating Pupil Diameter to Mental Workload and Lighting Conditions. In Proc. of CHI '16. ACM, New York, NY, USA, 5776--5788. Google ScholarDigital Library
- Pernilla Qvarfordt, Jacob T. Biehl, Gene Golovchinsky, and Tony Dunningan. 2010. Understanding the Benefits of Gaze Enhanced Visual Search. In Proc. of ETRA '10. ACM, New York, NY, USA, 283--290. Google ScholarDigital Library
- John Sweller. 1988. Cognitive Load During Problem Solving: Effects on Learning. Cognitive Science 12, 2 (1988), 257 -- 285.Google ScholarCross Ref
- Colin Ware. 2012. Information visualization: perception for design. Elsevier. Google ScholarDigital Library
- Johannes Zagermann, Ulrike Pfeil, and Harald Reiterer. 2016. Measuring Cognitive Load Using Eye Tracking Technology in Visual Computing. In Proc. of BELIV '16. ACM, New York, NY, USA, 78--85. Google ScholarDigital Library
Index Terms
- Studying Eye Movements as a Basis for Measuring Cognitive Load
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