Priori-driven dimensions of face-space: Experiments incorporating eye-tracking information
Thomaz CE, Amaral V, Gillies DF, Rueckert D (2016)
Publication Type: Conference contribution
Publication year: 2016
Publisher: Association for Computing Machinery
Book Volume: 14
Pages Range: 279-282
Conference Proceedings Title: Eye Tracking Research and Applications Symposium (ETRA)
Event location: Charleston, SC, USA
ISBN: 9781450341257
Abstract
Face-space has become established as an effective model for representing the dimensions of variation that occur in collections of human faces. For example, a change of expression from neutral to smiling can be represented by one axis in a face space. Principal components can be used to determine the axes of a face-space, however, standard principal components are based entirely on the data set from which they are computed, and do not express any domain specific information about the application of interest. In this paper, we propose a face-space analysis that combines the variance criterion used in principal components with some prior knowledge about the task-driven experiment. The priors are based on measuring eye movements of participants to frontal 2D faces during separate gender and facial expression categorization tasks. Our findings show that saccades to faces are task-driven, especially from 500 to 1000 milliseconds, and automatic recognition performance does not improve with additional exposure time.
Involved external institutions
Centro Universitário da FEI
Brazil (BR)
Imperial College London / The Imperial College of Science, Technology and Medicine
United Kingdom (GB)
Brazil (BR)
Imperial College London / The Imperial College of Science, Technology and Medicine
United Kingdom (GB)
How to cite
APA:
Thomaz, C.E., Amaral, V., Gillies, D.F., & Rueckert, D. (2016). Priori-driven dimensions of face-space: Experiments incorporating eye-tracking information. In Stephen N. Spencer (Eds.), Eye Tracking Research and Applications Symposium (ETRA) (pp. 279-282). Charleston, SC, USA: Association for Computing Machinery.
MLA:
Thomaz, Carlos E., et al. "Priori-driven dimensions of face-space: Experiments incorporating eye-tracking information." Proceedings of the 9th Biennial ACM Symposium on Eye Tracking Research and Applications, ETRA 2016, Charleston, SC, USA Ed. Stephen N. Spencer, Association for Computing Machinery, 2016. 279-282.
BibTeX: Download