| Communicating facial affect: it's not the realism, it's the motion |
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Conference on Human Factors in Computing Systems
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CHI '00 extended abstracts on Human factors in computing systems
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The Hague, The Netherlands
SESSION: Short talks: communication and collaboration
table of contents
Pages: 251 - 252
Year of Publication: 2000
ISBN:1-58113-248-4
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Downloads (6 Weeks): 7, Downloads (12 Months): 14, Citation Count: 6
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ABSTRACT
Designers of video-mediated communication and affective computing applications must make tradeoffs to deal with limited bandwidth. Typically spatial resolution and color are preserved at the expense of temporal resolution and accuracy. Our data suggest that this may not be the appropriate tradeoff for communicating facial affect; preserving motion is critical and may even compensate for major losses in image realism.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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Bachmann, T. Identification of spatially quantised tachistoscope images of faces. European Journal of Cognitive Psychology, 3, (1991), 87-103.
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Bruce, V. The role of the face in communication. Interacting with Computers, 8, (1996), 166-176.
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Ekman, P. & Friesen, W. V. The Facial Action Coding System. Consulting Psychologists Press: Palo Alto, CA, 1978.
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Kelly, M. H. & Freyd, J. J. Explorations of representational momentum. Cognitive Psychology, 19 (3), (1987), 369-401.
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Lisetti, C. & Schiano, D. J. Automatic facial expression interpretation. Pragmatics, in press.
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Diane J. Schiano , Sheryl M. Ehrlich , Krisnawan Rahardja , Kyle Sheridan, Face to interface: facial affect in (hu)man and machine, Proceedings of the SIGCHI conference on Human factors in computing systems, p.193-200, April 01-06, 2000, The Hague, The Netherlands
[doi> 10.1145/332040.332430]
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CITED BY 6
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Jeremy N. Bailenson , Emmanuel D. Pontikakis , Iris B. Mauss , James J. Gross , Maria E. Jabon , Cendri A. C. Hutcherson , Clifford Nass , Oliver John, Real-time classification of evoked emotions using facial feature tracking and physiological responses, International Journal of Human-Computer Studies, v.66 n.5, p.303-317, May, 2008
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