@article{charbonneau_facial_2025,

title = {Facial expression categorization predominantly relies on mid-spatial frequencies},

author = {I. Charbonneau and J. Duncan and C. Blais and J. Guérette and M. -P. Plouffe-Demers and F. Smith and D. Fiset},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105003427898&doi=10.1016%2Fj.visres.2025.108611&partnerID=40&md5=508d315d8092a9142c2d82f1b774cfdb},

doi = {10.1016/j.visres.2025.108611},

issn = {00426989 (ISSN)},

year  = {2025},

date = {2025-01-01},

journal = {Vision Research},

volume = {231},

abstract = {Facial expressions are crucial in human communication. Recent decades have seen growing interest in understanding the role of spatial frequencies (SFs) in emotion perception in others. While some studies have suggested a preferential treatment of low versus high SFs, the optimal SFs for recognizing basic facial expressions remain elusive. This study, conducted on Western participants, addresses this gap using two complementary methods: a data-driven method (Exp. 1) without arbitrary SF cut-offs, and a more naturalistic method (Exp. 2) simulating variations in viewing distance. Results generally showed a preponderant role of low over high SFs, but particularly stress that facial expression categorization mostly relies on mid-range SF content (i.e. ∼6–13 cycles per face), often overlooked in previous studies. Optimal performance was observed at short to medium viewing distances (1.2–2.4 m), declining sharply with increased distance, precisely when mid-range SFs were no longer available. Additionally, our data suggest variations in SF tuning profiles across basic facial expressions and nuanced contributions from low and mid SFs in facial expression processing. Most importantly, it suggests that any method that removes mid-SF content has the downfall of offering an incomplete account of SFs diagnosticity for facial expression recognition. © 2025 The Authors},

note = {Publisher: Elsevier Ltd},

keywords = {adult, article, Bubbles, Classification, controlled study, emotion, Emotions, Facial Expression, facial expressions, Facial Recognition, female, human, Humans, male, physiology, Psychophysics, simulation, Spatial frequencies, Young Adult},

pubstate = {published},

tppubtype = {article}

}

@article{blais_conducting_2025,

title = {Conducting online visual psychophysics experiments: A replication assessment of two face processing studies},

author = {C. Blais and D. Fiset and L. Côté and V. Ledrou-Paquet and I. Charbonneau},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105004807446&doi=10.1016%2fj.visres.2025.108617&partnerID=40&md5=771b056e57c4d7a34ff7c56ce39a4bd2},

doi = {10.1016/j.visres.2025.108617},

issn = {00426989 (ISSN)},

year  = {2025},

date = {2025-01-01},

journal = {Vision Research},

volume = {233},

publisher = {Elsevier Ltd},

abstract = {In vision sciences, researchers rigorously control the testing environment and the physical properties of stimuli, making it challenging to conduct visual perception experiments online. However, online research offers key advantages, including access to larger and more diverse participant samples, helping to address the problem of underpowered studies and to enhance the generalizability of results. In face recognition research, increasing diversity is essential, especially considering evidence that cultural and geographical factors influence basic visual face processing. The present study tested a new online platform, Pack & Go from VPixx Technologies, that supports experiments written in MATLAB and Python. Two face recognition experiments based on a data-driven psychophysical method involving real-time stimulus manipulation and relying on functions from the Psychtoolbox were tested. In Experiment 1, the visual information used for face recognition was compared across four conditions that gradually reduced experimental control over the testing environment and stimulus properties. In Experiment 2, the association between face recognition abilities and information utilization was measured online and compared to lab-based results. In both experiments, results obtained in the lab and online were highly similar, demonstrating the potential of online research for vision science. © 2025 The Author(s)},

note = {Publisher: Elsevier Ltd},

keywords = {adult, article, cultural factor, experiment, Facial Recognition, female, geography, human, human experiment, Humans, information processing, laboratory, male, normal human, online system, Photic Stimulation, photostimulation, physiology, procedures, psychology, Psychophysics, recognition, stimulus response, vision, visual stimulation, Young Adult},

pubstate = {published},

tppubtype = {article}

}

@article{audette_part-based_2025,

title = {Part-based processing, but not holistic processing, predicts individual differences in face recognition abilities},

author = {P. -L. Audette and L. Côté and C. Blais and J. Duncan and F. Gingras and D. Fiset},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213575434&doi=10.1016%2fj.cognition.2024.106057&partnerID=40&md5=135d2ba1bdf18648b57db0d3a93d0628},

doi = {10.1016/j.cognition.2024.106057},

issn = {00100277 (ISSN)},

year  = {2025},

date = {2025-01-01},

journal = {Cognition},

volume = {256},

publisher = {Elsevier B.V.},

abstract = {This study aimed to assess the roles of part-based and holistic processing for face processing ability (FPA). A psychophysical paradigm in which the efficiency at recognizing isolated or combined facial parts was used (N = 64), and holistic processing was defined as the perceptual integration from multiple parts. FPA and object processing ability were measured using a battery of tasks. A multiple linear regression including three predictors, namely perceptual integration, part-based efficiency, and object processing, explained 40 % of the variance in FPA. Most importantly, our results reveal a strong predictive relationship between part-based efficiency and FPA, a small predictive relationship between object processing ability and FPA, and no predictive relationship between perceptual integration and FPA. This result was obtained despite considerable variance in perceptual integration skills–with some participants exhibiting a highly efficient integration. These results indicate that part-based processing plays a pivotal role in FPA, whereas holistic processing does not. © 2024 The Authors},

note = {Publisher: Elsevier B.V.},

keywords = {Adolescent, adult, article, face perception, face recognition, Facial Recognition, female, human, human experiment, Humans, Individual differences, Individuality, Integration efficiency, male, multiple linear regression analysis, physiology, psychology, Psychophysics, recognition, Young Adult},

pubstate = {published},

tppubtype = {article}

}

@article{blaisConductingOnlineVisual2025a,

title = {Conducting online visual psychophysics experiments: A replication assessment of two face processing studies},

author = {C. Blais and D. Fiset and L. Côté and V. Ledrou-Paquet and I. Charbonneau},

url = {https://www.scopus.com/pages/publications/105004807446?origin=resultslist},

doi = {10.1016/j.visres.2025.108617},

issn = {00426989 (ISSN)},

year  = {2025},

date = {2025-01-01},

journal = {Vision Research},

volume = {233},

publisher = {Elsevier Ltd},

abstract = {In vision sciences, researchers rigorously control the testing environment and the physical properties of stimuli, making it challenging to conduct visual perception experiments online. However, online research offers key advantages, including access to larger and more diverse participant samples, helping to address the problem of underpowered studies and to enhance the generalizability of results. In face recognition research, increasing diversity is essential, especially considering evidence that cultural and geographical factors influence basic visual face processing. The present study tested a new online platform, Pack & Go from VPixx Technologies, that supports experiments written in MATLAB and Python. Two face recognition experiments based on a data-driven psychophysical method involving real-time stimulus manipulation and relying on functions from the Psychtoolbox were tested. In Experiment 1, the visual information used for face recognition was compared across four conditions that gradually reduced experimental control over the testing environment and stimulus properties. In Experiment 2, the association between face recognition abilities and information utilization was measured online and compared to lab-based results. In both experiments, results obtained in the lab and online were highly similar, demonstrating the potential of online research for vision science. © 2025 The Author(s)},

keywords = {adult, article, cultural factor, experiment, Facial Recognition, female, geography, human, human experiment, Humans, information processing, laboratory, male, normal human, online system, Photic Stimulation, photostimulation, physiology, procedures, psychology, Psychophysics, recognition, stimulus response, vision, visual stimulation, Young Adult},

pubstate = {published},

tppubtype = {article}

}

@article{audettePartbasedProcessingNot2025a,

title = {Part-based processing, but not holistic processing, predicts individual differences in face recognition abilities},

author = {P. -L. Audette and L. Côté and C. Blais and J. Duncan and F. Gingras and D. Fiset},

url = {https://www.scopus.com/pages/publications/85213575434?origin=resultslist},

doi = {10.1016/j.cognition.2024.106057},

issn = {00100277 (ISSN)},

year  = {2025},

date = {2025-01-01},

journal = {Cognition},

volume = {256},

publisher = {Elsevier B.V.},

abstract = {This study aimed to assess the roles of part-based and holistic processing for face processing ability (FPA). A psychophysical paradigm in which the efficiency at recognizing isolated or combined facial parts was used (N = 64), and holistic processing was defined as the perceptual integration from multiple parts. FPA and object processing ability were measured using a battery of tasks. A multiple linear regression including three predictors, namely perceptual integration, part-based efficiency, and object processing, explained 40 % of the variance in FPA. Most importantly, our results reveal a strong predictive relationship between part-based efficiency and FPA, a small predictive relationship between object processing ability and FPA, and no predictive relationship between perceptual integration and FPA. This result was obtained despite considerable variance in perceptual integration skills–with some participants exhibiting a highly efficient integration. These results indicate that part-based processing plays a pivotal role in FPA, whereas holistic processing does not. © 2024 The Authors},

keywords = {Adolescent, adult, article, face perception, face recognition, Facial Recognition, female, human, human experiment, Humans, Individual differences, Individuality, Integration efficiency, male, multiple linear regression analysis, physiology, psychology, Psychophysics, recognition, Young Adult},

pubstate = {published},

tppubtype = {article}

}

@article{charbonneauFacialExpressionCategorization2025,

title = {Facial expression categorization predominantly relies on mid-spatial frequencies},

author = {I. Charbonneau and J. Duncan and C. Blais and J. Guérette and M. -P. Plouffe-Demers and F. Smith and D. Fiset},

url = {https://www.scopus.com/pages/publications/105003427898?origin=resultslist},

doi = {10.1016/j.visres.2025.108611},

issn = {00426989 (ISSN)},

year  = {2025},

date = {2025-01-01},

journal = {Vision Research},

volume = {231},

publisher = {Elsevier Ltd},

abstract = {Facial expressions are crucial in human communication. Recent decades have seen growing interest in understanding the role of spatial frequencies (SFs) in emotion perception in others. While some studies have suggested a preferential treatment of low versus high SFs, the optimal SFs for recognizing basic facial expressions remain elusive. This study, conducted on Western participants, addresses this gap using two complementary methods: a data-driven method (Exp. 1) without arbitrary SF cut-offs, and a more naturalistic method (Exp. 2) simulating variations in viewing distance. Results generally showed a preponderant role of low over high SFs, but particularly stress that facial expression categorization mostly relies on mid-range SF content (i.e. ∼6–13 cycles per face), often overlooked in previous studies. Optimal performance was observed at short to medium viewing distances (1.2–2.4 m), declining sharply with increased distance, precisely when mid-range SFs were no longer available. Additionally, our data suggest variations in SF tuning profiles across basic facial expressions and nuanced contributions from low and mid SFs in facial expression processing. Most importantly, it suggests that any method that removes mid-SF content has the downfall of offering an incomplete account of SFs diagnosticity for facial expression recognition. © 2025 The Authors},

keywords = {adult, article, Bubbles, Classification, controlled study, emotion, Emotions, Facial Expression, facial expressions, Facial Recognition, female, human, Humans, male, physiology, Psychophysics, simulation, Spatial frequencies, Young Adult},

pubstate = {published},

tppubtype = {article}

}

@article{blaisConductingOnlineVisual2025b,

title = {Conducting online visual psychophysics experiments: A replication assessment of two face processing studies},

author = {C. Blais and D. Fiset and L. Côté and V. Ledrou-Paquet and I. Charbonneau},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105004807446&doi=10.1016%2Fj.visres.2025.108617&partnerID=40&md5=6f27d81d289529b733b5aa0b03634f27},

doi = {10.1016/j.visres.2025.108617},

issn = {00426989 (ISSN)},

year  = {2025},

date = {2025-01-01},

journal = {Vision Research},

volume = {233},

abstract = {In vision sciences, researchers rigorously control the testing environment and the physical properties of stimuli, making it challenging to conduct visual perception experiments online. However, online research offers key advantages, including access to larger and more diverse participant samples, helping to address the problem of underpowered studies and to enhance the generalizability of results. In face recognition research, increasing diversity is essential, especially considering evidence that cultural and geographical factors influence basic visual face processing. The present study tested a new online platform, Pack & Go from VPixx Technologies, that supports experiments written in MATLAB and Python. Two face recognition experiments based on a data-driven psychophysical method involving real-time stimulus manipulation and relying on functions from the Psychtoolbox were tested. In Experiment 1, the visual information used for face recognition was compared across four conditions that gradually reduced experimental control over the testing environment and stimulus properties. In Experiment 2, the association between face recognition abilities and information utilization was measured online and compared to lab-based results. In both experiments, results obtained in the lab and online were highly similar, demonstrating the potential of online research for vision science. © 2025 The Author(s)},

keywords = {adult, article, cultural factor, experiment, Facial Recognition, female, geography, human, human experiment, Humans, information processing, laboratory, male, normal human, online system, Photic Stimulation, photostimulation, physiology, procedures, psychology, Psychophysics, recognition, stimulus response, vision, visual stimulation, Young Adult},

pubstate = {published},

tppubtype = {article}

}

@article{charbonneauFacialExpressionCategorization2025a,

title = {Facial expression categorization predominantly relies on mid-spatial frequencies},

author = {I. Charbonneau and J. Duncan and C. Blais and J. Guérette and M. -P. Plouffe-Demers and F. Smith and D. Fiset},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105003427898&doi=10.1016%2Fj.visres.2025.108611&partnerID=40&md5=508d315d8092a9142c2d82f1b774cfdb},

doi = {10.1016/j.visres.2025.108611},

issn = {00426989 (ISSN)},

year  = {2025},

date = {2025-01-01},

journal = {Vision Research},

volume = {231},

abstract = {Facial expressions are crucial in human communication. Recent decades have seen growing interest in understanding the role of spatial frequencies (SFs) in emotion perception in others. While some studies have suggested a preferential treatment of low versus high SFs, the optimal SFs for recognizing basic facial expressions remain elusive. This study, conducted on Western participants, addresses this gap using two complementary methods: a data-driven method (Exp. 1) without arbitrary SF cut-offs, and a more naturalistic method (Exp. 2) simulating variations in viewing distance. Results generally showed a preponderant role of low over high SFs, but particularly stress that facial expression categorization mostly relies on mid-range SF content (i.e. ∼6–13 cycles per face), often overlooked in previous studies. Optimal performance was observed at short to medium viewing distances (1.2–2.4 m), declining sharply with increased distance, precisely when mid-range SFs were no longer available. Additionally, our data suggest variations in SF tuning profiles across basic facial expressions and nuanced contributions from low and mid SFs in facial expression processing. Most importantly, it suggests that any method that removes mid-SF content has the downfall of offering an incomplete account of SFs diagnosticity for facial expression recognition. © 2025 The Authors},

keywords = {adult, article, Bubbles, Classification, controlled study, emotion, Emotions, Facial Expression, facial expressions, Facial Recognition, female, human, Humans, male, physiology, Psychophysics, simulation, Spatial frequencies, Young Adult},

pubstate = {published},

tppubtype = {article}

}

@article{blaisConductingOnlineVisual2025,

title = {Conducting online visual psychophysics experiments: A replication assessment of two face processing studies},

author = {C. Blais and D. Fiset and L. Côté and V. Ledrou-Paquet and I. Charbonneau},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105004807446&doi=10.1016%2fj.visres.2025.108617&partnerID=40&md5=771b056e57c4d7a34ff7c56ce39a4bd2},

doi = {10.1016/j.visres.2025.108617},

issn = {00426989 (ISSN)},

year  = {2025},

date = {2025-01-01},

journal = {Vision Research},

volume = {233},

publisher = {Elsevier Ltd},

abstract = {In vision sciences, researchers rigorously control the testing environment and the physical properties of stimuli, making it challenging to conduct visual perception experiments online. However, online research offers key advantages, including access to larger and more diverse participant samples, helping to address the problem of underpowered studies and to enhance the generalizability of results. In face recognition research, increasing diversity is essential, especially considering evidence that cultural and geographical factors influence basic visual face processing. The present study tested a new online platform, Pack & Go from VPixx Technologies, that supports experiments written in MATLAB and Python. Two face recognition experiments based on a data-driven psychophysical method involving real-time stimulus manipulation and relying on functions from the Psychtoolbox were tested. In Experiment 1, the visual information used for face recognition was compared across four conditions that gradually reduced experimental control over the testing environment and stimulus properties. In Experiment 2, the association between face recognition abilities and information utilization was measured online and compared to lab-based results. In both experiments, results obtained in the lab and online were highly similar, demonstrating the potential of online research for vision science. © 2025 The Author(s)},

keywords = {adult, article, cultural factor, experiment, Facial Recognition, female, geography, human, human experiment, Humans, information processing, laboratory, male, normal human, online system, Photic Stimulation, photostimulation, physiology, procedures, psychology, Psychophysics, recognition, stimulus response, vision, visual stimulation, Young Adult},

pubstate = {published},

tppubtype = {article}

}

@article{audettePartbasedProcessingNot2025,

title = {Part-based processing, but not holistic processing, predicts individual differences in face recognition abilities},

author = {P. -L. Audette and L. Côté and C. Blais and J. Duncan and F. Gingras and D. Fiset},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213575434&doi=10.1016%2fj.cognition.2024.106057&partnerID=40&md5=135d2ba1bdf18648b57db0d3a93d0628},

doi = {10.1016/j.cognition.2024.106057},

issn = {00100277 (ISSN)},

year  = {2025},

date = {2025-01-01},

journal = {Cognition},

volume = {256},

publisher = {Elsevier B.V.},

abstract = {This study aimed to assess the roles of part-based and holistic processing for face processing ability (FPA). A psychophysical paradigm in which the efficiency at recognizing isolated or combined facial parts was used (N = 64), and holistic processing was defined as the perceptual integration from multiple parts. FPA and object processing ability were measured using a battery of tasks. A multiple linear regression including three predictors, namely perceptual integration, part-based efficiency, and object processing, explained 40 % of the variance in FPA. Most importantly, our results reveal a strong predictive relationship between part-based efficiency and FPA, a small predictive relationship between object processing ability and FPA, and no predictive relationship between perceptual integration and FPA. This result was obtained despite considerable variance in perceptual integration skills–with some participants exhibiting a highly efficient integration. These results indicate that part-based processing plays a pivotal role in FPA, whereas holistic processing does not. © 2024 The Authors},

keywords = {Adolescent, adult, article, face perception, face recognition, Facial Recognition, female, human, human experiment, Humans, Individual differences, Individuality, Integration efficiency, male, multiple linear regression analysis, physiology, psychology, Psychophysics, recognition, Young Adult},

pubstate = {published},

tppubtype = {article}

}