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Centre Interdisciplinaire
de Recherche et d’Innovation
en Cybersécurité et Société
de Recherche et d’Innovation
en Cybersécurité et Société
1.
Royer, J.; Willenbockel, V.; Blais, C.; Gosselin, F.; Lafortune, S.; Leclerc, J.; Fiset, D.
The influence of natural contour and face size on the spatial frequency tuning for identifying upright and inverted faces Article de journal
Dans: Psychological Research, vol. 81, no 1, p. 13–23, 2017, ISSN: 03400727, (Publisher: Springer Verlag).
Résumé | Liens | BibTeX | Étiquettes: adult, anatomy and histology, Face, female, Form Perception, human, Humans, male, Pattern Recognition, Visual
@article{royer_influence_2017,
title = {The influence of natural contour and face size on the spatial frequency tuning for identifying upright and inverted faces},
author = {J. Royer and V. Willenbockel and C. Blais and F. Gosselin and S. Lafortune and J. Leclerc and D. Fiset},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84952682687&doi=10.1007%2fs00426-015-0740-3&partnerID=40&md5=338e8de567bcb78a38dc37e35297d569},
doi = {10.1007/s00426-015-0740-3},
issn = {03400727},
year = {2017},
date = {2017-01-01},
journal = {Psychological Research},
volume = {81},
number = {1},
pages = {13–23},
abstract = {It has previously been proposed that holistic face processing is based on low spatial frequencies (SFs) whereas featural processing relies on higher SFs, a hypothesis still widespread in the face processing literature today (e.g. Peters et al. in Eur J Neurosci 37(9):1448–1457, 2013). Since upright faces are supposedly recognized through holistic processing and inverted faces, using features, it is easy to take the leap to suggest a qualitatively different SF tuning for the identification of upright and vs. inverted faces. However, two independent studies (e.g. Gaspar et al. in Vision Res 48(28):2817–2826, 2008; Willenbockel et al. in J Exp Psychol Human 36(1):122–135, 2010a) found the same SF tuning for both stimulus presentations. Since these authors used relatively small faces hiding the natural facial contour, it is possible that differences in the SF tuning for identifying upright and inverted faces were missed. The present study thus revisits the SF tuning for upright and inverted faces face identification using the SF Bubbles technique. Our results still indicate that the same SFs are involved in both upright and inverted face recognition regardless of these additional parameters (contour and size), thus contrasting with previous data obtained using different methods (e.g. Oruc and Barton in J Vis 10(12):20, 1–12, 2010). The possible reasons subtending this divergence are discussed. © 2015, Springer-Verlag Berlin Heidelberg.},
note = {Publisher: Springer Verlag},
keywords = {adult, anatomy and histology, Face, female, Form Perception, human, Humans, male, Pattern Recognition, Visual},
pubstate = {published},
tppubtype = {article}
}
It has previously been proposed that holistic face processing is based on low spatial frequencies (SFs) whereas featural processing relies on higher SFs, a hypothesis still widespread in the face processing literature today (e.g. Peters et al. in Eur J Neurosci 37(9):1448–1457, 2013). Since upright faces are supposedly recognized through holistic processing and inverted faces, using features, it is easy to take the leap to suggest a qualitatively different SF tuning for the identification of upright and vs. inverted faces. However, two independent studies (e.g. Gaspar et al. in Vision Res 48(28):2817–2826, 2008; Willenbockel et al. in J Exp Psychol Human 36(1):122–135, 2010a) found the same SF tuning for both stimulus presentations. Since these authors used relatively small faces hiding the natural facial contour, it is possible that differences in the SF tuning for identifying upright and inverted faces were missed. The present study thus revisits the SF tuning for upright and inverted faces face identification using the SF Bubbles technique. Our results still indicate that the same SFs are involved in both upright and inverted face recognition regardless of these additional parameters (contour and size), thus contrasting with previous data obtained using different methods (e.g. Oruc and Barton in J Vis 10(12):20, 1–12, 2010). The possible reasons subtending this divergence are discussed. © 2015, Springer-Verlag Berlin Heidelberg.
2.
Blais, C.; Fiset, D.; Roy, C.; Régimbald, C. S.; Gosselin, F.
Eye fixation patterns for categorizing static and dynamic facial Expressions Article de journal
Dans: Emotion, vol. 17, no 7, p. 1107–1119, 2017, ISSN: 15283542 (ISSN), (Publisher: American Psychological Association Inc.).
Résumé | Liens | BibTeX | Étiquettes: adult, anatomy and histology, Bubbles, Dynamic, emotion, Emotions, Eye, eye fixation, Eye movements, eye tracking, Facial Expression, facial expressions, female, Fixation, human, Humans, male, Mouth, Ocular, Photic Stimulation, photostimulation, physiology, PsycINFO, stimulus, Visual strategies, Young Adult
@article{blais_eye_2017,
title = {Eye fixation patterns for categorizing static and dynamic facial Expressions},
author = {C. Blais and D. Fiset and C. Roy and C. S. Régimbald and F. Gosselin},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85016754655&doi=10.1037%2femo0000283&partnerID=40&md5=baecd8d6500d1447d48a399497611ccd},
doi = {10.1037/emo0000283},
issn = {15283542 (ISSN)},
year = {2017},
date = {2017-01-01},
journal = {Emotion},
volume = {17},
number = {7},
pages = {1107–1119},
abstract = {Facial expressions of emotion are dynamic in nature, but most studies on the visual strategies underlying the recognition of facial emotions have used static stimuli. The present study directly compared the visual strategies underlying the recognition of static and dynamic facial expressions using eye tracking and the Bubbles technique. The results revealed different eye fixation patterns with the 2 kinds of stimuli, with fewer fixations on the eye and mouth area during the recognition of dynamic than static expressions. However, these differences in eye fixations were not accompanied by any systematic differences in the facial information that was actually processed to recognize the expressions. © 2017 American Psychological Association.},
note = {Publisher: American Psychological Association Inc.},
keywords = {adult, anatomy and histology, Bubbles, Dynamic, emotion, Emotions, Eye, eye fixation, Eye movements, eye tracking, Facial Expression, facial expressions, female, Fixation, human, Humans, male, Mouth, Ocular, Photic Stimulation, photostimulation, physiology, PsycINFO, stimulus, Visual strategies, Young Adult},
pubstate = {published},
tppubtype = {article}
}
Facial expressions of emotion are dynamic in nature, but most studies on the visual strategies underlying the recognition of facial emotions have used static stimuli. The present study directly compared the visual strategies underlying the recognition of static and dynamic facial expressions using eye tracking and the Bubbles technique. The results revealed different eye fixation patterns with the 2 kinds of stimuli, with fewer fixations on the eye and mouth area during the recognition of dynamic than static expressions. However, these differences in eye fixations were not accompanied by any systematic differences in the facial information that was actually processed to recognize the expressions. © 2017 American Psychological Association.