Predicting an observer's task using multi-fixation pattern analysis

Eye Tracking Research and Applications Symposium (ETRA)

Volumn , Issue , 2014, Pages 287-290

  Kanan, Christopher ^a   Ray, Nicholas A ^b   Bseiso, Dina N F ^a   Hsiao, Janet H ^c   Cottrell, Garrison W ^a  

^a CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Eye Tracking; Machine Learning; Yarbus

Indexed keywords

ALGORITHMS; FORECASTING; LEARNING SYSTEMS;

EYE MOVEMENT PATTERNS; EYE-TRACKING; MENTAL STATE; PATTERN ANALYSIS; REPLICATION STUDY; YARBUS;

EYE MOVEMENTS;

EID: 84899680594     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2578153.2578208     Document Type: Conference Paper

References (15)

1. BALLARD, D. H., HAYHOE, M. M., AND PELZ, J. 1995. Memory representations in natural tasks. Journal of Cognitive Neuroscience 7, 1, 66-80.
2. CASTELHANO, M. S., MACK, M. L., AND HENDERSON, J. M. 2009. Viewing task influences eye movement control during active scene perception. Journal of Vision 9, 3, 6.
3. CHANG, C., AND LIN, C. 2011. A library for support vector machines. ACM Transactions on Intelligent Systems and Technology 2, 3, 1-27.
4. DEANGELUS, M., AND PELZ, J. B. 2009. Top-down control of eye movements: Yarbus revisited. Visual Cognition 17, 6-7, 790-811.
5. GREENE, M. R., LIU, T., AND WOLFE, J. M. 2012. Reconsidering Yarbus: A failure to predict observer's task from eye movement patterns. Vision Research 62, 1-8.
6. HAGEMANN, N., SCHORER, J., CANAL-BRULAND, R., LOTZ, S., AND STRAUSS, B. 2010. Visual perception in fencing: Do the eye movements of fencers represent their information pickup?. Attention, Perception, and Psychophysics 72, 8, 2204-2214.
7. HAYHOE, M. M., SHRIVASTAVA, A., MRUCZEK, R., AND PELZ, J. 2003. Visual memory and motor planning in a natural task. Journal of Vision 3, 49-63.
8. JAAKKOLA, T., AND HAUSSLER, D. 1998. Exploiting generative models in discriminative classifiers. In Advances in Neural Information Processing Systems (NIPS-1998), 487-493.
9. KAAKINEN, J. K., AND HYONA, J. 2010. Task effects on eye movements during reading. Journal of Experimental Psychology. Learning, Memory, and Cognition 36, 6, 1561-1566.
10. LAND, M., MENNIE, N., AND RUSTED, J. 1999. The roles of vision and eye movements in the control of activities of daily living. Perception 28, 11, 1311-1328.
11. TATLER, B. W., BADDELEY, R. J., AND VINCENT, B. T. 2011. The long and the short of it: spatial statistics at fixation vary with saccade amplitude and task. Vision Research 46, 1857-1862.
12. TRUYEN, T., PHUNG, D., BUI, H., AND VENKATESH, S. 2008. Hierarchical semi-markov conditional random fields for recursive sequential data. In Advances in Neural Information Processing Systems (NIPS-2008).
13. TSENG, P., CAMERON, I., PARI, G., REYNOLDS, J., MUNOZ, D., AND ITTI, L. 2012. High-throughput classification of clinical populations from natural viewing eye movements. Journal of Neurology 260, 1, 275-284.
14. VAN DER MAATEN, L. 2011. Learning discriminative fisher kernels. In Proc. 28th International Conference on Machine Learning (ICML-2011).
15. YARBUS, A. 1967. Eye Movements and Vision. New York: Plenum Press.