Determining comprehension and quality of TV programs using eye-gaze tracking

Pattern Recognition

Volumn 41, Issue 5, 2008, Pages 1610-1626

  Sawahata, Yasuhito ^a   Khosla, Rajiv ^b   Komine, Kazuteru ^a   Hiruma, Nobuyuki ^a   Itou, Takayuki ^a   Watanabe, Seiji ^a   Suzuki, Yuji ^a   Hara, Yumiko ^a   Issiki, Nobuo ^a  

^a NHK SCIENCE AND TECHNICAL RESEARCH LABORATORIES   (Japan)

^b LA TROBE UNIVERSITY   (Australia)

Author keywords

Entropy; Eye gaze direction; Gaussian mixture models; Performance optimization framework; TV contents evaluation; TV program comprehension

Indexed keywords

ENTROPY; IMAGE QUALITY; PROBABILITY DENSITY FUNCTION;

EYE GAZE TRACKING; GAUSSIAN MIXTURE MODELS; PERFORMANCE OPTIMIZATION FRAMEWORKS; TV CONTENTS EVALUATION; TV PROGRAM COMPREHENSION;

TELEVISION BROADCASTING;

EID: 84973463351     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2007.10.010     Document Type: Article

References (35)

1. Friesen C.K., and Kingstone A. The eyes have it!: reflexive orienting is triggered by non-predictive gaze. Psychon. Bull. Rev. 5 (1998) 490-495
2. Friesen C.K., Ristic J., and Kingstone A. Attentional effects of counterpredictive gaze and arrow cues. J. Exp. Psychol.: Hum. Percept. Perform. 30 (2004) 319-329
3. Ristic J., Friesen C.K., and Kingstone A. Are eyes special? It depends on how you look at it. Psychol. Bull. Rev. 9 (2002) 507-513
4. Tipples J. Eye gaze is not unique: automatic orienting in response to noninformative arrows. Psychon. Bull. Rev. 9 (2002) 314-318
5. Driver J., Davis G., Ricciardelli P., Kidd P., Maxwell E., and Baron-Cohen S. Gaze perception triggers visuospatial orienting by adults in a reflexive manner. Visual Cognit. 6 (1999) 509-540
6. Gibson B.S., and Bryant T.A. Variation in cue duration reveals top-down modulation of involuntary orienting to uninformative symbolic cues. Percept. Psychophys. 67 (2005) 749-758
7. Troseth G.I., Saylor M.M., and Archer A.H. Young children's use of video as a source of socially relevant information. J. Child Dev. 17 3 (2006) 786-799
8. Gibert G., Bailly G., and Elisei F. Evaluation of a virtual speech cuer. Proceedings of ISCA Tutorial and Research Workshop on Experimental Linguistics (2006), Athens, Greece
9. Jacob R.J.K., and Karn K.S. Eye tracking in human-computer interaction and usability research: ready to deliver the promises. In: Hyona J., Radach R., and Deubel H. (Eds). The Mind's Eye: Cognitive and Applied Aspects of Eye Movement Research (2003), Elsevier, Amsterdam 573-605
10. M. Namatame, M. Kitajima, Improving web-usability for hard-of-hearing, in: Eye Tracking Research and Application, Proceedings of the 2006 Symposium on Eye Tracking Research and Applications 2006, San Diego, CA, March 27-29, 2006, p. 39.
11. Murtagh F., Taskaya T., Contreras P., Mothe J., and Englmeier K. Interactive visual user interfaces: a survey. Artif. Intell. Rev. 19 (2003) 263-283
12. Farid M., Murtagh F., and Starck J.L. Computer display control and interaction using eye-gaze, preprint of article published. J. Soc. Inf. Disp. 10 3 (2002) 289-293 (and figures p. 300)
13. R. Bednarik, M. Tukiainen, An eye-tracking methodology for characterizing program comprehension processes, in: Eye Tracking Research and Application, Proceedings of the 2006 ACM Symposium on Eye Tracking Research and Applications 2006, San Diego, CA, March 27-29, 2006, pp. 125-132.
14. H. Wang, M. Chignell, M. Ishizuka, Empathic tutoring software agents using real-time eye tracking, in: Eye Tracking Research and Application, Proceedings of the 2006 ACM Symposium on Eye Tracking Research and Applications 2006, San Diego, CA, March 27-29, 2006, pp. 73-78.
15. C. Djeraba, S. Lew, D.A. Simovici, S. Mongy, N. Ihaddadene, Eye/gaze tracking in web, image and video documents, in: ACM Multimedia (ACM/MM 2006), Santa Barbara, CA, USA, October 23-27, 2006, pp. 481-482.
16. G. Gibert, G. Bailly, F. Elisei, Evaluating a virtual speech cuer, in: Interspeech ICSLP, Pittsburgh, PA, 2006.
17. Adeler F.H., and Flegelman M. Influence of fixation on the visual acuity. Arch. Ophthalmol. 12 (1934) 475-483
18. Robinson D.R. A method of measuring eye movements using a search coil in a magnetic field. IEEE Trans. Bio-Med. Electron. 10 (1963) 137-145
19. T. Ohno, One-point calibration gaze tracking method, in: Proceedings of the 2006 Symposium on Eye Tracking Research and Applications, Proceedings of the 2006 ACM symposium on Eye Tracking Research and Applications 2006, San Diego, CA, March 27-29, 2006, p. 34.
20. S. Shih, Y. Wu, J. Liu, 2000, A calibration-free gaze tracking technique, in: Proceedings of the International Conference on Pattern Recognition (ICPR), 2000.
21. Titterington D., Smith A., and Makov U. Statistical Analysis of Finite Mixture Distributions (1985), Wiley, New York
22. McLachlan G., and Peel D. Finite Mixture Models (2000), Wiley Interscience, New York pp. 40-80
23. Dempser A.P., Laird N.M., and Rubin D.B. Maximum likelihood from incomplete data via the EM algorithm. J. R. Stat. Soc. B 39 (1977) 1-38
24. R. Khosla, I. Sethi, E. Damiani. Intelligent Multimedia Multi-Agent Systems-a Human-Centred Approach, Kluwer Academic Publishers, MA, USA, October 2000, 333pp.
25. R. Khosla, T. Dillon, Engineering Intelligent Hybrid Multi-Agent Systems, Kluwer Academic Publishers, MA, USA, August 1997, 425pp.
26. J. Eggink, G.J. Brown. A missing feature approach to instrument identification in polyphonic music, in: IEEE International Conference on Acoustics, Speech, and Signal Processing, Hong Kong, April 2003, pp. 553-556.
27. Akaike H. Information theory and an extension of the maximum likelihood principle. In: Petrov B.N., and Csaki F. (Eds). The Second International Symposium on Information Theory (1973), Akadémi Kiadó, Budapest, Hungary 267-281
28. Schwartz G. Estimating the dimension of a model. Ann. Stat. 6 (1978) 461-464
29. Fraley C., and Raftery A.E. Model-based clustering, discriminant analysis, and density estimation. J. Am. Stat. Assoc. 97 (2002) 611-631
30. The R Project for Statistical Computing, 〈http://cran.r-project.org/〉.
31. Rao C.R. Linear Statistical Inference and its Applications (1965), Wiley, New York p. 349
32. Ito H. An analysis of eye movements while watching educational TV programs. Bull. Natl. Inst. Multimedia Educ. 5 (1991) 147-162
33. Berry C., and Brosius H.B. Multiple effects of visual format on TV news learning. Appl. Cognit. Psychol. 5 6 (1991) 519-528
34. Baggett P. Role of temporal overlap of visual and auditory material in forming dual media associations. J. Educ. Psychol. 76 (1984) 408-417
35. Y. Nakajima, Psychology of Visual Presentation Approaches to Effective Multimedia Application, Saiensu-Sha, 1996, p. 142 (in Japanese).