Adaptive Displays Conference 2004. Gaze-Contingent Displays: Review and Current Trends. Andrew T. Duchowski. Acknowledgements. National Science Foundation NASA Ames DoD / Navy / SPAWAR Charleston Students Nathan Cournia Hunter Murphy Scott Gibson (Summer Research Internship). Overview.
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Andrew T. Duchowski
Fig.1: AUIs; (a) eyeCONTACT sensor, (b) Light fixture with eyeCONTACT sensor, (c) eyePROXY, (d) attentive TV
(Courtesy Roel Vertegaal, see Shell et al. (2003))
Fig.2: gaze-contingent graphics
Fig.3: gaze-contingent terrain, model
(a) Recorded scanpath
(b) Reconstructed image
Fig.4: HVS-matching wavelet coefficient scaling
(Haar wavelets emphasizing degradation effects)
Fig.5: The Barbara image DCT coded (left) and MDCT coded (right). The focus point is in the centre of the MDCT coded image.
Fig.6: Barbara coded by the DWT coder (left) and the MDWT coder (right).
Fig.7: Gaze-contingent multi-resolution displays
Fig.8: Arbitrary Visual Fields
Fig.9: GPU-programmable mipmap lookup
Fig.10: Pliable Display Technology (PDT) lens
facilitate rapid application dev.
Fig.11: Tobii eye tracker
Bergström, P. (2003). Eye-Movement Controlled Image Coding. PhD Dissertation (No. 831), Institute of Technology, Linköping University, Linköping, Sweden.
Clarke, J. H. (1976). Hierarchical Geometric Models for Visible Surface Algorithms. Communications of the ACM 19, 10, 547-554.
Danforth, R., Duchowski, A., Geist, R., McAliley (2000). A Platform for Gaze-Contingent Virtual Environments. In Smart Graphics (Papers from the 2001 AAAI Spring Symposium, Technical Report SS-00-04), Menlo Park, CA, AAAI, pp. 66-70.
Luebke, D., Reddy, M., Cohen, J., Varshney, A., Watson, B., and Huebner, R. (2002). Level of Detail for 3D Graphics. Morgan-Kaufmann Publishers, San Francisco, CA.
McConkie, G. W. and Rayner, K. (1975). The Span of the Effective Stimulus During a Fixation in Reading. Perception & Psychophysics 17, 578-586.
Murphy, H. and Duchowski, A. (2001). Gaze-Contingent Level Of Detail. In EuroGraphics (Short Presentations), Manchester, UK, EuroGraphics.
O’Sullivan, C., Dingliana, J., and Howlett, S. (2002). Gaze-Contingent Algorithms for Interactive Graphics. In The Mind’s Eye: Cognitive and Applied Aspects of Eye Movement Research, J. Hyöna, R. Radach, and H. Duebel, Eds., Elsevier Science, Oxford, England.
Parkhurst, D., Culurciello, E., and Niebur, E. (2000). Evaluating Variable Resolution Displays with Visual Search: Task Performance and Eye Movements. In Eye Tracking Research & Applications Symposium p.105-109. Palm Beach Gardens, FL.
Parkhurst, D. J., & Niebur, E. (2004). A Feasibility Test for Perceptually Adaptive Level of Detail Rendering on Desktop Systems. In Applied Perception and Graphics Visualization (APGV). ACM, Los Angeles, CA, to appear.
Perry, J. S. and Geisler, W. S. (2002). Gaze-Contingent Real-Time Simulation of Arbitrary Visual Fields. In Human Vision and Electronic Imaging, San Jose, CA, SPIE.
Shell, J. S., Selker, T., and Vertegaal, R. (2003). Interacting with Groups of Computers, Communications of the ACM 46, 3 (March), 40-46.