Human-Aided Computing: Utilizing implicit human processing to classify images

Conference on Human Factors in Computing Systems - Proceedings

Volumn , Issue , 2008, Pages 845-854

  Shenoy, Pradeep ^a   Tan, Desney S ^b  

^a UNIVERSITY OF WASHINGTON   (United States)

^b MICROSOFT RESEARCH   (United States)

Author keywords

Brain computer interface (BCI); Electroencephalography (EEG); Human cognition; Image classification; Implicit processing; Visual attention

Indexed keywords

BRAIN-COMPUTER INTERFACE (BCI); ELECTROENCEPHALOGRAPHY (EEG); HUMAN COGNITION; IMPLICIT PROCESSING; VISUAL ATTENTION;

ANIMALS; ELECTROENCEPHALOGRAPHY; ELECTROPHYSIOLOGY; EXPERIMENTS; FACE RECOGNITION; HUMAN ENGINEERING; IMAGE ANALYSIS; IMAGE CLASSIFICATION; OPTICAL SENSORS;

INTERFACES (COMPUTER);

EID: 57649227530     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1357054.1357188     Document Type: Conference Paper

References (25)

1. Amazon.com. Mechanical Turk. http://www.mturk.com.
2. Anderson, D.P., Cobb, J., Korpela, E., Lebofsky, M., & Werthimer, D. (2002). SETI@home: An experiment in public-resource computing. Communications of the ACM, 45(11), 56-61.
3. Broadbent, D.E. (1958). Perception and communication. Pergamon Press: London, UK.
4. Carmel, D., Bentin, S. (2002). Domain specificity versus expertise: factors influencing distinct processing of faces. Journal of Cognition, 83, 1-29.
5. Farwell, L.A., Donchin, E. (1988). Talking off the top of your head: toward a mental prosthesis utilizing eventrelated brain potentials. Electroencephalography & Clinical Neurophysiology, 70(6), 510-23.
6. Fisch, B.J. (2005). Fisch & Spehlmann 's EEG primer: Basic principles of digital and analog EEG. Elsevier: Amsterdam.
7. Gerson, A.D., Parra, L.C., & Sajda, P. (2006). Cortically-coupled computer vision for rapid image search. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 14(2), 174-179.
8. Griffin, G. Holub, A.D. Perona, P. (2007). The Caltech- 256, Caltech Technical Report.
9. Grill-Spector, K. (2003). The neural basis of object perception. Current opinion in neurobiology, 13, 1-8.
10. Hariri, S., Parashar, M. eds. (2004). Tools and environments for paralell and distributed computing. Wiley Press: Hoboken, NJ.
11. Hastie, T., Tibshirani, R. & Friedman, J.H. (2001). The elements of statistical learning: Data mining, inference, and prediction. Springer Series in Statistics. Springer-Verlag: New York, New York.
12. Hoffman, U., Vesin, J-M, Ebrahimi, T. (2006). Spatial filters for the classification of event-related potentials. In European Symposium on Artificial Neural Networks, 47-52.
13. Itier, R.J., Taylor, M.J. (2004). Nl70 or N1? Spatiotemporal differences between object and face processing using ERPs. Cerebral Cortex, 14, 132-142.
14. Jasper, H.H. (1958). The ten-twenty electrode system of the international federation. Electroencephalography and Clinical Neurophysiology, 10, 371-375.
15. Johnson J.S., Olshausen, B.A. (2005). The earliest EEG signatures of object recognition in a cued-target task are postsensory. Journal of Vision, 5(4), 299-312.
16. Koch, C., Tsuchiya, N. (2006). Attention and consciousness: Two distinct brain processes. Trends in Cognitive Sciences, 11(1), 16-22.
17. Larson, S.M., Snow, C., & Pande, V.S. (2003). Folding@Home and Genome@Home: Using distributed computing to tackle previously intractable problems in computational biology. Modern Methods in Computational Biology (ed. R. Grant). Horizon Press.
18. Lee, J.C., Tan, D.S. (2006). Using a low-cost electroencephalograph for task classification in HCI research. In 19th ACM Symposium on User Interface Software and Technology, 81-90.
19. Marszalek, Z.J.M., Lazebnik, S., & Schmid, C. (2006). Local features and kernels for classifcation of texture and object categories: A comprehensive study. International Journal of Computer Vision, 73(2), 213-238.
20. Miller, G.A. (1987) Psychology: the science of mental life. Penguin: Harmondsworth, UK.
21. Posner, K.R. (1978). Chronometric explorations of mind. Lawrence Erlbaum Associates: Hillsdale, NJ.
22. Rossion, B., Gauthier, I., Delvenne, J.-F., Tarr, M.J., Bruyer, R., & Crommelinck, M. (1999). Does the N170 occipito-temporal component reflect a face-specific structural encoding stage? Poster at Object Perception and Memory 1999.
23. Velmans, M. (1991). Is human processing conscious? Behavioral and Brain Sciences, 14, 651-726.
24. von Ahn, L. (2006). Games with a purpose. IEEE Com-Puter Magazine, 39(6), 92-94.
25. von Ahn, L., Dabbish, L. (2004). Labeling images with a computer game. In CHI 2004 Conference on Human Factors in Computing Systems, 319-326.