Pupillary response based cognitive workload measurement under luminance changes

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6947 LNCS, Issue PART 2, 2011, Pages 178-185

  Xu, Jie ^a   Wang, Yang ^a   Chen, Fang ^a   Choi, Eric ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

Cognitive workload; eye tracker; luminance; pupillary response

Indexed keywords

ARITHMETIC TASKS; COGNITIVE PROCESS; COGNITIVE WORKLOADS; EYE TRACKERS; LUMINANCE CONDITIONS; NON-INTRUSIVE; PHYSIOLOGICAL INDICES; PUPILLARY RESPONSE; DIFFERENT STAGES; LUMINANCE CHANGES;

EYE PROTECTION; LUMINANCE; PHYSIOLOGICAL MODELS; PSYCHOPHYSIOLOGY;

HUMAN COMPUTER INTERACTION;

EID: 80052813273     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23771-3_14     Document Type: Conference Paper

References (12)

1. Beatty, J.: Task-evoked pupillary responses, processing load, and the structure of processing resources. Psychological Bulletin 91, 276-292 (1982)
2. Cain, B.: A review of the mental workload literature. Technical Report, Defence Research and Development Canada Toronto (2007)
3. Chen, S., Epps, J., Ruiz, N., Chen, F.: Eye activity as a measure of human mental effort in HCI. In: International Conference on Intelligent User Interfaces, pp. 315-318 (2011)
4. Fogarty, C., Stern, J.: Eye movements and blinks: Their relationship to higher cognitive processes. International Journal of Psychophysiology 8, 35-42 (1989)
5. Grootjen, M., Neerincx, M., Weert, J.: Task-based interpretation of operator state information for adaptive support. In: Schmorrow, D., Stanney, M., Reeves, M. (eds.) Foundations of Augmented Cognition, 2nd edn., pp. 236-242 (2006)
6. Klingner, J., Kumar, R., Hanrahan, P.: Measuring the task-evoked pupillary response with a remote eye tracker. In: Eye Tracking Research and Applications Symposium, pp. 69-72 (2008)
7. Kramer, A.: Physiological metrics of mental workload: A review of recent progress. In: Damos, D. (ed.) Multiple-Task Performance, pp. 279-328. Taylor and Francis, Abington (1991)
8. Marshall, S.: The index of cognitive activity: Measuring cognitive workload. In: IEEE Human Factors Meeting, pp. 7-5-7-9 (2002)
9. Palinko, O., Kun, A., Shyrokov, A., Heeman, P.: Estimating cognitive load using remote eye tracking in a driving simulator. In: Eye Tracking Research and Applications Symposium, pp. 141-144 (2010)
10. Pomplun, M., Sunkara, S.: Pupil dilation as an indicator of cognitive workload in humancomputer interaction. In: International Conference on Human-Computer Interaction, pp. 542-546 (2003)
11. Quinlan, J.: C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Francisco (1993)
12. Xu, J., Wang, Y., Chen, F., Choi, H., Li, G., Chen, S., Hussain, S.: Pupillary response based cognitive workload index under luminance and emotional changes. In: Annual Conference Extended Abstracts on Human Factors in Computing Systems, pp. 1627-1632 (2011)