Slide
Centre Interdisciplinaire
de Recherche et d’Innovation
en Cybersécurité et Société
de Recherche et d’Innovation
en Cybersécurité et Société
1.
Pétrin, R.; Bérubé, A.; St-Pierre, É.; Blais, C.
Maternal childhood emotional abuse increases cardiovascular responses to children’s emotional facial expressions Journal Article
In: PLoS ONE, vol. 19, no. 5 May, 2024, ISSN: 19326203 (ISSN), (Publisher: Public Library of Science).
Abstract | Links | BibTeX | Tags: adult, alcohol consumption, analysis of variance, article, blood pressure, cardiovascular response, Child, Child Abuse, Childhood, Childhood Trauma Questionnaire, demographics, electrocardiogram, Electrocardiography, emotion, Emotional Abuse, Emotions, Ethnicity, Facial Expression, female, Heart Rate, heart rate variability, human, human experiment, Humans, Likert scale, male, mother, mother child relation, Mother-Child Relations, Mothers, parasympathetic tone, physical activity, physiology, post hoc analysis, psychology, questionnaire, sexual abuse, Surveys and Questionnaires
@article{petrin_maternal_2024,
title = {Maternal childhood emotional abuse increases cardiovascular responses to children’s emotional facial expressions},
author = {R. Pétrin and A. Bérubé and É. St-Pierre and C. Blais},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192637581&doi=10.1371%2fjournal.pone.0302782&partnerID=40&md5=c464b30fe7cc5b7b0baaf865fdf1f6de},
doi = {10.1371/journal.pone.0302782},
issn = {19326203 (ISSN)},
year = {2024},
date = {2024-01-01},
journal = {PLoS ONE},
volume = {19},
number = {5 May},
abstract = {Parents with a history of childhood maltreatment may be more likely to respond inadequately to their child’s emotional cues, such as crying or screaming, due to previous exposure to prolonged stress. While studies have investigated parents’ physiological reactions to their children’s vocal expressions of emotions, less attention has been given to their responses when perceiving children’s facial expressions of emotions. The present study aimed to determine if viewing facial expressions of emotions in children induces cardiovascular changes in mothers (hypo- or hyper-arousal) and whether these differ as a function of childhood maltreatment. A total of 104 mothers took part in this study. Their experiences of childhood maltreatment were measured using the Childhood Trauma Questionnaire (CTQ). Participants’ electrocardiogram signals were recorded during a task in which they viewed a landscape video (baseline) and images of children’s faces expressing different intensities of emotion. Heart rate variability (HRV) was extracted from the recordings as an indicator of parasympathetic reactivity. Participants presented two profiles: one group of mothers had a decreased HRV when presented with images of children’s facial expressions of emotions, while the other group’s HRV increased. However, HRV change was not significantly different between the two groups. The interaction between HRV groups and the severity of maltreatment experienced was marginal. Results suggested that experiences of childhood emotional abuse were more common in mothers whose HRV increased during the task. Therefore, more severe childhood experiences of emotional abuse could be associated with mothers’ cardiovascular hyperreactivity. Maladaptive cardiovascular responses could have a ripple effect, influencing how mothers react to their children’s facial expressions of emotions. That reaction could affect the quality of their interaction with their child. Providing interventions that help parents regulate their physiological and behavioral responses to stress might be helpful, especially if they have experienced childhood maltreatment. © 2024 Public Library of Science. All rights reserved.},
note = {Publisher: Public Library of Science},
keywords = {adult, alcohol consumption, analysis of variance, article, blood pressure, cardiovascular response, Child, Child Abuse, Childhood, Childhood Trauma Questionnaire, demographics, electrocardiogram, Electrocardiography, emotion, Emotional Abuse, Emotions, Ethnicity, Facial Expression, female, Heart Rate, heart rate variability, human, human experiment, Humans, Likert scale, male, mother, mother child relation, Mother-Child Relations, Mothers, parasympathetic tone, physical activity, physiology, post hoc analysis, psychology, questionnaire, sexual abuse, Surveys and Questionnaires},
pubstate = {published},
tppubtype = {article}
}
Parents with a history of childhood maltreatment may be more likely to respond inadequately to their child’s emotional cues, such as crying or screaming, due to previous exposure to prolonged stress. While studies have investigated parents’ physiological reactions to their children’s vocal expressions of emotions, less attention has been given to their responses when perceiving children’s facial expressions of emotions. The present study aimed to determine if viewing facial expressions of emotions in children induces cardiovascular changes in mothers (hypo- or hyper-arousal) and whether these differ as a function of childhood maltreatment. A total of 104 mothers took part in this study. Their experiences of childhood maltreatment were measured using the Childhood Trauma Questionnaire (CTQ). Participants’ electrocardiogram signals were recorded during a task in which they viewed a landscape video (baseline) and images of children’s faces expressing different intensities of emotion. Heart rate variability (HRV) was extracted from the recordings as an indicator of parasympathetic reactivity. Participants presented two profiles: one group of mothers had a decreased HRV when presented with images of children’s facial expressions of emotions, while the other group’s HRV increased. However, HRV change was not significantly different between the two groups. The interaction between HRV groups and the severity of maltreatment experienced was marginal. Results suggested that experiences of childhood emotional abuse were more common in mothers whose HRV increased during the task. Therefore, more severe childhood experiences of emotional abuse could be associated with mothers’ cardiovascular hyperreactivity. Maladaptive cardiovascular responses could have a ripple effect, influencing how mothers react to their children’s facial expressions of emotions. That reaction could affect the quality of their interaction with their child. Providing interventions that help parents regulate their physiological and behavioral responses to stress might be helpful, especially if they have experienced childhood maltreatment. © 2024 Public Library of Science. All rights reserved.
2.
Joudeh, I. O.; Cretu, A. -M.; Bouchard, S.
Predicting the Arousal and Valence Values of Emotional States Using Learned, Predesigned, and Deep Visual Features † Journal Article
In: Sensors, vol. 24, no. 13, 2024, ISSN: 14248220 (ISSN), (Publisher: Multidisciplinary Digital Publishing Institute (MDPI)).
Abstract | Links | BibTeX | Tags: adult, Affective interaction, Arousal, artificial neural network, Cognitive state, Cognitive/emotional state, Collaborative interaction, computer, Convolutional neural networks, correlation coefficient, Deep learning, emotion, Emotional state, Emotions, female, Forecasting, Helmet mounted displays, human, Humans, Learning algorithms, Learning systems, Long short-term memory, Machine learning, Machine-learning, male, Mean square error, Neural networks, physiology, Regression, Root mean squared errors, Video recording, virtual reality, Visual feature, visual features
@article{joudeh_predicting_2024,
title = {Predicting the Arousal and Valence Values of Emotional States Using Learned, Predesigned, and Deep Visual Features †},
author = {I. O. Joudeh and A. -M. Cretu and S. Bouchard},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198382238&doi=10.3390%2fs24134398&partnerID=40&md5=cefa8b2e2c044d02f99662af350007db},
doi = {10.3390/s24134398},
issn = {14248220 (ISSN)},
year = {2024},
date = {2024-01-01},
journal = {Sensors},
volume = {24},
number = {13},
abstract = {The cognitive state of a person can be categorized using the circumplex model of emotional states, a continuous model of two dimensions: arousal and valence. The purpose of this research is to select a machine learning model(s) to be integrated into a virtual reality (VR) system that runs cognitive remediation exercises for people with mental health disorders. As such, the prediction of emotional states is essential to customize treatments for those individuals. We exploit the Remote Collaborative and Affective Interactions (RECOLA) database to predict arousal and valence values using machine learning techniques. RECOLA includes audio, video, and physiological recordings of interactions between human participants. To allow learners to focus on the most relevant data, features are extracted from raw data. Such features can be predesigned, learned, or extracted implicitly using deep learners. Our previous work on video recordings focused on predesigned and learned visual features. In this paper, we extend our work onto deep visual features. Our deep visual features are extracted using the MobileNet-v2 convolutional neural network (CNN) that we previously trained on RECOLA’s video frames of full/half faces. As the final purpose of our work is to integrate our solution into a practical VR application using head-mounted displays, we experimented with half faces as a proof of concept. The extracted deep features were then used to predict arousal and valence values via optimizable ensemble regression. We also fused the extracted visual features with the predesigned visual features and predicted arousal and valence values using the combined feature set. In an attempt to enhance our prediction performance, we further fused the predictions of the optimizable ensemble model with the predictions of the MobileNet-v2 model. After decision fusion, we achieved a root mean squared error (RMSE) of 0.1140, a Pearson’s correlation coefficient (PCC) of 0.8000, and a concordance correlation coefficient (CCC) of 0.7868 on arousal predictions. We achieved an RMSE of 0.0790, a PCC of 0.7904, and a CCC of 0.7645 on valence predictions. © 2024 by the authors.},
note = {Publisher: Multidisciplinary Digital Publishing Institute (MDPI)},
keywords = {adult, Affective interaction, Arousal, artificial neural network, Cognitive state, Cognitive/emotional state, Collaborative interaction, computer, Convolutional neural networks, correlation coefficient, Deep learning, emotion, Emotional state, Emotions, female, Forecasting, Helmet mounted displays, human, Humans, Learning algorithms, Learning systems, Long short-term memory, Machine learning, Machine-learning, male, Mean square error, Neural networks, physiology, Regression, Root mean squared errors, Video recording, virtual reality, Visual feature, visual features},
pubstate = {published},
tppubtype = {article}
}
The cognitive state of a person can be categorized using the circumplex model of emotional states, a continuous model of two dimensions: arousal and valence. The purpose of this research is to select a machine learning model(s) to be integrated into a virtual reality (VR) system that runs cognitive remediation exercises for people with mental health disorders. As such, the prediction of emotional states is essential to customize treatments for those individuals. We exploit the Remote Collaborative and Affective Interactions (RECOLA) database to predict arousal and valence values using machine learning techniques. RECOLA includes audio, video, and physiological recordings of interactions between human participants. To allow learners to focus on the most relevant data, features are extracted from raw data. Such features can be predesigned, learned, or extracted implicitly using deep learners. Our previous work on video recordings focused on predesigned and learned visual features. In this paper, we extend our work onto deep visual features. Our deep visual features are extracted using the MobileNet-v2 convolutional neural network (CNN) that we previously trained on RECOLA’s video frames of full/half faces. As the final purpose of our work is to integrate our solution into a practical VR application using head-mounted displays, we experimented with half faces as a proof of concept. The extracted deep features were then used to predict arousal and valence values via optimizable ensemble regression. We also fused the extracted visual features with the predesigned visual features and predicted arousal and valence values using the combined feature set. In an attempt to enhance our prediction performance, we further fused the predictions of the optimizable ensemble model with the predictions of the MobileNet-v2 model. After decision fusion, we achieved a root mean squared error (RMSE) of 0.1140, a Pearson’s correlation coefficient (PCC) of 0.8000, and a concordance correlation coefficient (CCC) of 0.7868 on arousal predictions. We achieved an RMSE of 0.0790, a PCC of 0.7904, and a CCC of 0.7645 on valence predictions. © 2024 by the authors.
3.
Joudeh, I. O.; Cretu, A. -M.; Bouchard, S.; Guimond, S.
Prediction of Continuous Emotional Measures through Physiological and Visual Data † Journal Article
In: Sensors, vol. 23, no. 12, 2023, ISSN: 14248220, (Publisher: MDPI).
Abstract | Links | BibTeX | Tags: Affect recognition, Affective state, Arousal, Data-source, Deep learning, Electrocardiography, emotion, Emotion Recognition, Emotions, face recognition, Faces detection, Forecasting, human, Humans, Images processing, Learning systems, Machine learning, Machine-learning, mental disease, Mental Disorders, Physiological data, physiology, Signal-processing, Statistical tests, Video recording, Virtual-reality environment
@article{joudeh_prediction_2023,
title = {Prediction of Continuous Emotional Measures through Physiological and Visual Data †},
author = {I. O. Joudeh and A. -M. Cretu and S. Bouchard and S. Guimond},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163943735&doi=10.3390%2fs23125613&partnerID=40&md5=5e970f0d8c5790b85d8d77a9f3f52a2d},
doi = {10.3390/s23125613},
issn = {14248220},
year = {2023},
date = {2023-01-01},
journal = {Sensors},
volume = {23},
number = {12},
abstract = {The affective state of a person can be measured using arousal and valence values. In this article, we contribute to the prediction of arousal and valence values from various data sources. Our goal is to later use such predictive models to adaptively adjust virtual reality (VR) environments and help facilitate cognitive remediation exercises for users with mental health disorders, such as schizophrenia, while avoiding discouragement. Building on our previous work on physiological, electrodermal activity (EDA) and electrocardiogram (ECG) recordings, we propose improving preprocessing and adding novel feature selection and decision fusion processes. We use video recordings as an additional data source for predicting affective states. We implement an innovative solution based on a combination of machine learning models alongside a series of preprocessing steps. We test our approach on RECOLA, a publicly available dataset. The best results are obtained with a concordance correlation coefficient (CCC) of 0.996 for arousal and 0.998 for valence using physiological data. Related work in the literature reported lower CCCs on the same data modality; thus, our approach outperforms the state-of-the-art approaches for RECOLA. Our study underscores the potential of using advanced machine learning techniques with diverse data sources to enhance the personalization of VR environments. © 2023 by the authors.},
note = {Publisher: MDPI},
keywords = {Affect recognition, Affective state, Arousal, Data-source, Deep learning, Electrocardiography, emotion, Emotion Recognition, Emotions, face recognition, Faces detection, Forecasting, human, Humans, Images processing, Learning systems, Machine learning, Machine-learning, mental disease, Mental Disorders, Physiological data, physiology, Signal-processing, Statistical tests, Video recording, Virtual-reality environment},
pubstate = {published},
tppubtype = {article}
}
The affective state of a person can be measured using arousal and valence values. In this article, we contribute to the prediction of arousal and valence values from various data sources. Our goal is to later use such predictive models to adaptively adjust virtual reality (VR) environments and help facilitate cognitive remediation exercises for users with mental health disorders, such as schizophrenia, while avoiding discouragement. Building on our previous work on physiological, electrodermal activity (EDA) and electrocardiogram (ECG) recordings, we propose improving preprocessing and adding novel feature selection and decision fusion processes. We use video recordings as an additional data source for predicting affective states. We implement an innovative solution based on a combination of machine learning models alongside a series of preprocessing steps. We test our approach on RECOLA, a publicly available dataset. The best results are obtained with a concordance correlation coefficient (CCC) of 0.996 for arousal and 0.998 for valence using physiological data. Related work in the literature reported lower CCCs on the same data modality; thus, our approach outperforms the state-of-the-art approaches for RECOLA. Our study underscores the potential of using advanced machine learning techniques with diverse data sources to enhance the personalization of VR environments. © 2023 by the authors.
4.
Bérubé, A.; Turgeon, J.; Blais, C.; Fiset, D.
Emotion Recognition in Adults With a History of Childhood Maltreatment: A Systematic Review Journal Article
In: Trauma, Violence, and Abuse, vol. 24, no. 1, pp. 278–294, 2023, ISSN: 15248380 (ISSN), (Publisher: SAGE Publications Ltd).
Abstract | Links | BibTeX | Tags: adult, anger, Child, Child Abuse, childhood maltreatment, cycle of maltreatment, emotion, Emotion Recognition, Emotions, Facial Expression, Fear, human, Humans, perception, physiology, psychology, systematic review
@article{berube_emotion_2023,
title = {Emotion Recognition in Adults With a History of Childhood Maltreatment: A Systematic Review},
author = {A. Bérubé and J. Turgeon and C. Blais and D. Fiset},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85109658115&doi=10.1177%2f15248380211029403&partnerID=40&md5=5654c858d5c0c84bfdd832a4c04dd1d5},
doi = {10.1177/15248380211029403},
issn = {15248380 (ISSN)},
year = {2023},
date = {2023-01-01},
journal = {Trauma, Violence, and Abuse},
volume = {24},
number = {1},
pages = {278–294},
abstract = {Child maltreatment has many well-documented lasting effects on children. Among its consequences, it affects children’s recognition of emotions. More and more studies are recognizing the lasting effect that a history of maltreatment can have on emotion recognition. A systematic literature review was conducted to better understand this relationship. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol was used and four databases were searched, MEDLINE/PubMed, PsycINFO, EMBASE, and FRANCIS, using three cross-referenced key words: child abuse, emotion recognition, and adults. The search process identified 23 studies that met the inclusion criteria. The review highlights the wide variety of measures used to assess child maltreatment as well as the different protocols used to measure emotion recognition. The results indicate that adults with a history of childhood maltreatment show a differentiated reaction to happiness, anger, and fear. Happiness is less detected, whereas negative emotions are recognized more rapidly and at a lower intensity compared to adults not exposed to such traumatic events. Emotion recognition is also related to greater brain activation for the maltreated group. However, the results are less consistent for adults who also have a diagnosis of mental health problems. The systematic review found that maltreatment affects the perception of emotions expressed on both adult and child faces. However, more research is needed to better understand how a history of maltreatment is related to adults’ perception of children’s emotions. © The Author(s) 2021.},
note = {Publisher: SAGE Publications Ltd},
keywords = {adult, anger, Child, Child Abuse, childhood maltreatment, cycle of maltreatment, emotion, Emotion Recognition, Emotions, Facial Expression, Fear, human, Humans, perception, physiology, psychology, systematic review},
pubstate = {published},
tppubtype = {article}
}
Child maltreatment has many well-documented lasting effects on children. Among its consequences, it affects children’s recognition of emotions. More and more studies are recognizing the lasting effect that a history of maltreatment can have on emotion recognition. A systematic literature review was conducted to better understand this relationship. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol was used and four databases were searched, MEDLINE/PubMed, PsycINFO, EMBASE, and FRANCIS, using three cross-referenced key words: child abuse, emotion recognition, and adults. The search process identified 23 studies that met the inclusion criteria. The review highlights the wide variety of measures used to assess child maltreatment as well as the different protocols used to measure emotion recognition. The results indicate that adults with a history of childhood maltreatment show a differentiated reaction to happiness, anger, and fear. Happiness is less detected, whereas negative emotions are recognized more rapidly and at a lower intensity compared to adults not exposed to such traumatic events. Emotion recognition is also related to greater brain activation for the maltreated group. However, the results are less consistent for adults who also have a diagnosis of mental health problems. The systematic review found that maltreatment affects the perception of emotions expressed on both adult and child faces. However, more research is needed to better understand how a history of maltreatment is related to adults’ perception of children’s emotions. © The Author(s) 2021.
5.
Pauzé, A.; Plouffe-Demers, M. -P.; Fiset, D.; Saint-Amour, D.; Cyr, C.; Blais, C.
The relationship between orthorexia nervosa symptomatology and body image attitudes and distortion Journal Article
In: Scientific reports, vol. 11, no. 1, pp. 13311, 2021, ISSN: 20452322, (Publisher: NLM (Medline)).
Abstract | Links | BibTeX | Tags: adult, Attitude, body image, Diet, eating disorder, Feeding and Eating Disorders, feeding behavior, female, Healthy, human, Humans, male, pathophysiology, physiology, procedures, questionnaire, Surveys and Questionnaires
@article{pauze_relationship_2021,
title = {The relationship between orthorexia nervosa symptomatology and body image attitudes and distortion},
author = {A. Pauzé and M. -P. Plouffe-Demers and D. Fiset and D. Saint-Amour and C. Cyr and C. Blais},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111785584&doi=10.1038%2fs41598-021-92569-2&partnerID=40&md5=3360e3096eab30cba8259423f69d1d87},
doi = {10.1038/s41598-021-92569-2},
issn = {20452322},
year = {2021},
date = {2021-01-01},
journal = {Scientific reports},
volume = {11},
number = {1},
pages = {13311},
abstract = {Orthorexia Nervosa (ON), a condition characterized by a fixation on healthy eating, still does not conform to any consensus concerning diagnostic criteria, notably in regard to a possible body image component. This study investigated the relationship between ON symptomatology, measured with the Eating Habit Questionnaire, and body image attitudes and body image distortion in a non-clinical sample. Explicit body image attitudes and distortion were measured using the Multidimensional Body-Self Relations Questionnaire. Implicit body image attitudes and distortion were assessed using the reverse correlation technique. Correlational analyses showed that ON is associated with both explicit and implicit attitudes and distortion toward body image. More precisely, multivariate analyses combining various body image components showed that ON is mostly associated with explicit overweight preoccupation, explicit investment in physical health and leading a healthy lifestyle, and implicit muscularity distortion. These findings suggest that ON symptomatology is positively associated with body image attitudes and distortion in a non-clinical sample. However, further studies should be conducted to better understand how ON symptomatology relates to body image, especially among clinical samples.},
note = {Publisher: NLM (Medline)},
keywords = {adult, Attitude, body image, Diet, eating disorder, Feeding and Eating Disorders, feeding behavior, female, Healthy, human, Humans, male, pathophysiology, physiology, procedures, questionnaire, Surveys and Questionnaires},
pubstate = {published},
tppubtype = {article}
}
Orthorexia Nervosa (ON), a condition characterized by a fixation on healthy eating, still does not conform to any consensus concerning diagnostic criteria, notably in regard to a possible body image component. This study investigated the relationship between ON symptomatology, measured with the Eating Habit Questionnaire, and body image attitudes and body image distortion in a non-clinical sample. Explicit body image attitudes and distortion were measured using the Multidimensional Body-Self Relations Questionnaire. Implicit body image attitudes and distortion were assessed using the reverse correlation technique. Correlational analyses showed that ON is associated with both explicit and implicit attitudes and distortion toward body image. More precisely, multivariate analyses combining various body image components showed that ON is mostly associated with explicit overweight preoccupation, explicit investment in physical health and leading a healthy lifestyle, and implicit muscularity distortion. These findings suggest that ON symptomatology is positively associated with body image attitudes and distortion in a non-clinical sample. However, further studies should be conducted to better understand how ON symptomatology relates to body image, especially among clinical samples.
6.
Charbonneau, I.; Robinson, K.; Blais, C.; Fiset, D.
Implicit race attitudes modulate visual information extraction for trustworthiness judgments Journal Article
In: PLoS ONE, vol. 15, no. 9 September, 2020, ISSN: 19326203, (Publisher: Public Library of Science).
Abstract | Links | BibTeX | Tags: adult, African American, African Americans, article, Attitude, Caucasian, decision making, Ethics, European Continental Ancestry Group, extraction, eyelash, Facial Expression, facies, female, human, Humans, Judgment, male, perception, physiology, psychology, Racism, Social Perception, Stereotyping, visual information, wrinkle, Young Adult
@article{charbonneau_implicit_2020,
title = {Implicit race attitudes modulate visual information extraction for trustworthiness judgments},
author = {I. Charbonneau and K. Robinson and C. Blais and D. Fiset},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091622106&doi=10.1371%2fjournal.pone.0239305&partnerID=40&md5=18ca2332affc9cb41d17afc8c450b0b4},
doi = {10.1371/journal.pone.0239305},
issn = {19326203},
year = {2020},
date = {2020-01-01},
journal = {PLoS ONE},
volume = {15},
number = {9 September},
abstract = {Black people are still considered to be one of the most stigmatized groups and have to face multiple prejudices that undermine their well-being. Assumptions and beliefs about other racial groups are quite pervasive and have been shown to impact basic social tasks such as face processing. For example, individuals with high racial prejudice conceptualize other-race faces as less trustworthy and more criminal. However, it is unknown if implicit racial bias could modulate even low-level perceptual mechanisms such as spatial frequency (SF) extraction when judging the level of trustworthiness of other-race faces. The present study showed that although similar facial features are used to judge the trustworthiness of White and Black faces, own-race faces are processed in lower SF (i.e. coarse information such as the contour of the face and blurred shapes as opposed to high SF representing fine-grained information such as eyelashes or fine wrinkles). This pattern was modulated by implicit race biases: higher implicit biases are associated with a significantly higher reliance on low SF with White than with Black faces. Copyright: © 2020 Charbonneau et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.},
note = {Publisher: Public Library of Science},
keywords = {adult, African American, African Americans, article, Attitude, Caucasian, decision making, Ethics, European Continental Ancestry Group, extraction, eyelash, Facial Expression, facies, female, human, Humans, Judgment, male, perception, physiology, psychology, Racism, Social Perception, Stereotyping, visual information, wrinkle, Young Adult},
pubstate = {published},
tppubtype = {article}
}
Black people are still considered to be one of the most stigmatized groups and have to face multiple prejudices that undermine their well-being. Assumptions and beliefs about other racial groups are quite pervasive and have been shown to impact basic social tasks such as face processing. For example, individuals with high racial prejudice conceptualize other-race faces as less trustworthy and more criminal. However, it is unknown if implicit racial bias could modulate even low-level perceptual mechanisms such as spatial frequency (SF) extraction when judging the level of trustworthiness of other-race faces. The present study showed that although similar facial features are used to judge the trustworthiness of White and Black faces, own-race faces are processed in lower SF (i.e. coarse information such as the contour of the face and blurred shapes as opposed to high SF representing fine-grained information such as eyelashes or fine wrinkles). This pattern was modulated by implicit race biases: higher implicit biases are associated with a significantly higher reliance on low SF with White than with Black faces. Copyright: © 2020 Charbonneau et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
7.
Bérubé, A.; Blais, C.; Fournier, A.; Turgeon, J.; Forget, H.; Coutu, S.; Dubeau, D.
Childhood maltreatment moderates the relationship between emotion recognition and maternal sensitive behaviors Journal Article
In: Child Abuse and Neglect, vol. 102, 2020, ISSN: 01452134 (ISSN), (Publisher: Elsevier Ltd).
Abstract | Links | BibTeX | Tags: article, Child, Child Abuse, childhood maltreatment, Childhood Trauma Questionnaire, emotion, Emotion Recognition, Emotions, female, human, human experiment, Humans, male, Maternal Behavior, mother child relation, Mother-Child Relations, photography, physiology, Preschool, preschool child, psychology, Sensitive behaviors
@article{berube_childhood_2020,
title = {Childhood maltreatment moderates the relationship between emotion recognition and maternal sensitive behaviors},
author = {A. Bérubé and C. Blais and A. Fournier and J. Turgeon and H. Forget and S. Coutu and D. Dubeau},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85079890346&doi=10.1016%2fj.chiabu.2020.104432&partnerID=40&md5=05add864de22734e614fe7a34d6d6f1a},
doi = {10.1016/j.chiabu.2020.104432},
issn = {01452134 (ISSN)},
year = {2020},
date = {2020-01-01},
journal = {Child Abuse and Neglect},
volume = {102},
abstract = {Background: Sensitivity is defined as parents ability to perceive, react and respond to children signals. Having a history of childhood maltreatment changes the way adults perceive visual emotions. These perceptual characteristics could have important consequences on how these parents respond to their children. Objective: The current study examines how a history of childhood maltreatment moderates the relationship between maternal emotion recognition in child faces and sensitive behaviors toward their child during free-play and a structured task. Participants and Setting: Participants included 58 mothers and their children aged between 2 and 5 years. Methods: Mothers were exposed to a set of photographs of child faces showing morphed images of the six basic emotional expressions. Mother-child interactions were then coded for sensitive behaviors. Mothers’ history of childhood maltreatment was assessed using the Childhood Trauma Questionnaire. Results: Maltreatment severity was related to poorer abilities in emotion recognition. However, the association between emotion recognition and sensitive behavior was moderate by history of childhood maltreatment. For mothers exposed to a severe form of childhood maltreatment, a better emotion recognition was related to less sensitive behaviors toward the child, both during free-play and the structured task. Conclusion: This relationship is unique to these mothers and is inconsistent with Ainsworth's definition of sensitivity. These results have important implications as they suggest mothers with a history of severe maltreatment would need tailored interventions which take into account their particular reactions to children's emotions. © 2020},
note = {Publisher: Elsevier Ltd},
keywords = {article, Child, Child Abuse, childhood maltreatment, Childhood Trauma Questionnaire, emotion, Emotion Recognition, Emotions, female, human, human experiment, Humans, male, Maternal Behavior, mother child relation, Mother-Child Relations, photography, physiology, Preschool, preschool child, psychology, Sensitive behaviors},
pubstate = {published},
tppubtype = {article}
}
Background: Sensitivity is defined as parents ability to perceive, react and respond to children signals. Having a history of childhood maltreatment changes the way adults perceive visual emotions. These perceptual characteristics could have important consequences on how these parents respond to their children. Objective: The current study examines how a history of childhood maltreatment moderates the relationship between maternal emotion recognition in child faces and sensitive behaviors toward their child during free-play and a structured task. Participants and Setting: Participants included 58 mothers and their children aged between 2 and 5 years. Methods: Mothers were exposed to a set of photographs of child faces showing morphed images of the six basic emotional expressions. Mother-child interactions were then coded for sensitive behaviors. Mothers’ history of childhood maltreatment was assessed using the Childhood Trauma Questionnaire. Results: Maltreatment severity was related to poorer abilities in emotion recognition. However, the association between emotion recognition and sensitive behavior was moderate by history of childhood maltreatment. For mothers exposed to a severe form of childhood maltreatment, a better emotion recognition was related to less sensitive behaviors toward the child, both during free-play and the structured task. Conclusion: This relationship is unique to these mothers and is inconsistent with Ainsworth's definition of sensitivity. These results have important implications as they suggest mothers with a history of severe maltreatment would need tailored interventions which take into account their particular reactions to children's emotions. © 2020
8.
Tardif, N.; Therrien, C. -E.; Bouchard, S.
Re-Examining Psychological Mechanisms Underlying Virtual Reality-Based Exposure for Spider Phobia Journal Article
In: Cyberpsychology, Behavior, and Social Networking, vol. 22, no. 1, pp. 39–45, 2019, ISSN: 21522715, (Publisher: Mary Ann Liebert Inc.).
Abstract | Links | BibTeX | Tags: animal, Animals, Fear, Heart Rate, human, Humans, phobia, Phobic Disorders, physiology, psychology, questionnaire, spider, Spiders, Surveys and Questionnaires, virtual reality exposure therapy
@article{tardif_re-examining_2019,
title = {Re-Examining Psychological Mechanisms Underlying Virtual Reality-Based Exposure for Spider Phobia},
author = {N. Tardif and C. -E. Therrien and S. Bouchard},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060171246&doi=10.1089%2fcyber.2017.0711&partnerID=40&md5=43737ac357efea6e35bd5668eb17e040},
doi = {10.1089/cyber.2017.0711},
issn = {21522715},
year = {2019},
date = {2019-01-01},
journal = {Cyberpsychology, Behavior, and Social Networking},
volume = {22},
number = {1},
pages = {39–45},
abstract = {The proposed study aims at expanding results from a previous study on mechanisms of change after exposure in virtual reality (VR) and documenting the impact of adding tactile and haptic feedback. It was predicted that change in the severity of spider phobia according to the Fear of Spiders Questionnaire (FSQ) would be significantly predicted by change in dysfunctional beliefs toward spiders and self-efficacy, over and above the variance explained by a physiological measure of fear during exposure (heart rate) and presence during the immersion. Participants (N = 59) were randomly assigned to the presentation of visual stimuli only, visual plus tactile stimuli, or visual, tactile plus haptic feedback stimuli. A standard multiple regression was conducted to predict change on the FSQ using the following predictors: beliefs about spiders, beliefs about one's own behavior when facing spiders, perceived self-efficacy, disgust, presence, and heart rate. Only changes in beliefs about spiders and in perceived self-efficacy significantly predicted the reduction in fear of spiders. This result enhances our understanding of the mechanisms involved in exposure conducted in VR. Analyses of variance also show that participants reported statistically significant changes in their clinical condition, with little added value to the addition of tactile and haptic feedback. The advantages of tactile and haptic stimulation are questioned, at least in the context of only one brief exposure session and the equipment used. © 2019, Mary Ann Liebert, Inc.},
note = {Publisher: Mary Ann Liebert Inc.},
keywords = {animal, Animals, Fear, Heart Rate, human, Humans, phobia, Phobic Disorders, physiology, psychology, questionnaire, spider, Spiders, Surveys and Questionnaires, virtual reality exposure therapy},
pubstate = {published},
tppubtype = {article}
}
The proposed study aims at expanding results from a previous study on mechanisms of change after exposure in virtual reality (VR) and documenting the impact of adding tactile and haptic feedback. It was predicted that change in the severity of spider phobia according to the Fear of Spiders Questionnaire (FSQ) would be significantly predicted by change in dysfunctional beliefs toward spiders and self-efficacy, over and above the variance explained by a physiological measure of fear during exposure (heart rate) and presence during the immersion. Participants (N = 59) were randomly assigned to the presentation of visual stimuli only, visual plus tactile stimuli, or visual, tactile plus haptic feedback stimuli. A standard multiple regression was conducted to predict change on the FSQ using the following predictors: beliefs about spiders, beliefs about one's own behavior when facing spiders, perceived self-efficacy, disgust, presence, and heart rate. Only changes in beliefs about spiders and in perceived self-efficacy significantly predicted the reduction in fear of spiders. This result enhances our understanding of the mechanisms involved in exposure conducted in VR. Analyses of variance also show that participants reported statistically significant changes in their clinical condition, with little added value to the addition of tactile and haptic feedback. The advantages of tactile and haptic stimulation are questioned, at least in the context of only one brief exposure session and the equipment used. © 2019, Mary Ann Liebert, Inc.
9.
Duncan, J.; Royer, J.; Dugas, G.; Blais, C.; Fiset, D.
Revisiting the Link Between Horizontal Tuning and Face Processing Ability With Independent Measures Journal Article
In: Journal of Experimental Psychology: Human Perception and Performance, 2019, ISSN: 00961523, (Publisher: American Psychological Association).
Abstract | Links | BibTeX | Tags: Adolescent, adult, Depth Perception, Facial Recognition, human, Humans, neuropsychological test, Neuropsychological Tests, perception, physiology, Psychophysics, Social Perception, Space Perception, Young Adult
@article{duncan_revisiting_2019,
title = {Revisiting the Link Between Horizontal Tuning and Face Processing Ability With Independent Measures},
author = {J. Duncan and J. Royer and G. Dugas and C. Blais and D. Fiset},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074117809&doi=10.1037%2fxhp0000684&partnerID=40&md5=b88c8d1ad6db16940a7782d664414dae},
doi = {10.1037/xhp0000684},
issn = {00961523},
year = {2019},
date = {2019-01-01},
journal = {Journal of Experimental Psychology: Human Perception and Performance},
abstract = {In recent years, horizontal spatial information has received attention for its role in face perception. One study, for instance, has reported an association between horizontal tuning for faces and face identification ability measured within the same task. A possible consequence of this is that the correlation could have been overestimated. In the present study, we wanted to reexamine this question. We first measured face processing ability on the Cambridge Face Memory Test±, the Cambridge Face Perception Test, and the Glasgow Face Matching Test. A single ability score was extracted using a principal components analysis. In a separate task, participants also completed an identification task in which faces were randomly filtered on a trial basis using orientation bubbles. This task allowed the extraction of individual orientation profiles and horizontal tuning scores for faces. We then measured the association between horizontal tuning for faces and the face-processing ability score and observed a significant positive correlation. Importantly, this relation could not be accounted for by other factors such as object-processing ability, horizontal tuning for cars, or greater sensitivity to horizontal gratings. Our data give further credence to the hypothesis that horizontal facial structure plays a crucial role in face processing. © 2019 American Psychological Association.},
note = {Publisher: American Psychological Association},
keywords = {Adolescent, adult, Depth Perception, Facial Recognition, human, Humans, neuropsychological test, Neuropsychological Tests, perception, physiology, Psychophysics, Social Perception, Space Perception, Young Adult},
pubstate = {published},
tppubtype = {article}
}
In recent years, horizontal spatial information has received attention for its role in face perception. One study, for instance, has reported an association between horizontal tuning for faces and face identification ability measured within the same task. A possible consequence of this is that the correlation could have been overestimated. In the present study, we wanted to reexamine this question. We first measured face processing ability on the Cambridge Face Memory Test±, the Cambridge Face Perception Test, and the Glasgow Face Matching Test. A single ability score was extracted using a principal components analysis. In a separate task, participants also completed an identification task in which faces were randomly filtered on a trial basis using orientation bubbles. This task allowed the extraction of individual orientation profiles and horizontal tuning scores for faces. We then measured the association between horizontal tuning for faces and the face-processing ability score and observed a significant positive correlation. Importantly, this relation could not be accounted for by other factors such as object-processing ability, horizontal tuning for cars, or greater sensitivity to horizontal gratings. Our data give further credence to the hypothesis that horizontal facial structure plays a crucial role in face processing. © 2019 American Psychological Association.
10.
Tardif, J.; Duchesne, X. Morin; Cohan, S.; Royer, J.; Blais, C.; Fiset, D.; Duchaine, B.; Gosselin, F.
Use of Face Information Varies Systematically From Developmental Prosopagnosics to Super-Recognizers Journal Article
In: Psychological Science, vol. 30, no. 2, pp. 300–308, 2019, ISSN: 09567976, (Publisher: SAGE Publications Inc.).
Abstract | Links | BibTeX | Tags: adult, Developmental Disabilities, developmental disorder, Facial Recognition, female, human, Humans, Individuality, male, pathophysiology, perception, physiology, Prosopagnosia, Social Perception
@article{tardif_use_2019,
title = {Use of Face Information Varies Systematically From Developmental Prosopagnosics to Super-Recognizers},
author = {J. Tardif and X. Morin Duchesne and S. Cohan and J. Royer and C. Blais and D. Fiset and B. Duchaine and F. Gosselin},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060433063&doi=10.1177%2f0956797618811338&partnerID=40&md5=0b1d017d93e991fa99d50e6691a54867},
doi = {10.1177/0956797618811338},
issn = {09567976},
year = {2019},
date = {2019-01-01},
journal = {Psychological Science},
volume = {30},
number = {2},
pages = {300–308},
abstract = {Face-recognition abilities differ largely in the neurologically typical population. We examined how the use of information varies with face-recognition ability from developmental prosopagnosics to super-recognizers. Specifically, we investigated the use of facial features at different spatial scales in 112 individuals, including 5 developmental prosopagnosics and 8 super-recognizers, during an online famous-face-identification task using the bubbles method. We discovered that viewing of the eyes and mouth to identify faces at relatively high spatial frequencies is strongly correlated with face-recognition ability, evaluated from two independent measures. We also showed that the abilities of developmental prosopagnosics and super-recognizers are explained by a model that predicts face-recognition ability from the use of information built solely from participants with intermediate face-recognition abilities (n = 99). This supports the hypothesis that the use of information varies quantitatively from developmental prosopagnosics to super-recognizers as a function of face-recognition ability. © The Author(s) 2018.},
note = {Publisher: SAGE Publications Inc.},
keywords = {adult, Developmental Disabilities, developmental disorder, Facial Recognition, female, human, Humans, Individuality, male, pathophysiology, perception, physiology, Prosopagnosia, Social Perception},
pubstate = {published},
tppubtype = {article}
}
Face-recognition abilities differ largely in the neurologically typical population. We examined how the use of information varies with face-recognition ability from developmental prosopagnosics to super-recognizers. Specifically, we investigated the use of facial features at different spatial scales in 112 individuals, including 5 developmental prosopagnosics and 8 super-recognizers, during an online famous-face-identification task using the bubbles method. We discovered that viewing of the eyes and mouth to identify faces at relatively high spatial frequencies is strongly correlated with face-recognition ability, evaluated from two independent measures. We also showed that the abilities of developmental prosopagnosics and super-recognizers are explained by a model that predicts face-recognition ability from the use of information built solely from participants with intermediate face-recognition abilities (n = 99). This supports the hypothesis that the use of information varies quantitatively from developmental prosopagnosics to super-recognizers as a function of face-recognition ability. © The Author(s) 2018.