C4.5: programs for machine learning
C4.5: programs for machine learning
Measuring the task-evoked pupillary response with a remote eye tracker
Proceedings of the 2008 symposium on Eye tracking research & applications
Estimating cognitive load using remote eye tracking in a driving simulator
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications
Eye activity as a measure of human mental effort in HCI
Proceedings of the 16th international conference on Intelligent user interfaces
Pupillary response based cognitive workload index under luminance and emotional changes
CHI '11 Extended Abstracts on Human Factors in Computing Systems
Indexing cognitive workload based on pupillary response under luminance and emotional changes
Proceedings of the 2013 international conference on Intelligent user interfaces
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Pupillary response has been widely accepted as a physiological index of cognitive workload. It can be reliably measured with remote eye trackers in a non-intrusive way. However, pupillometric measurement might fail to assess cognitive workload due to the variation of luminance conditions. To overcome this problem, we study the characteristics of pupillary responses at different stages of cognitive process when performing arithmetic tasks, and propose a fine-grained approach for cognitive workload measurement. Experimental results show that cognitive workload could be effectively measured even under luminance changes.