@article{corno_development_2024,

title = {Development of a visual-perceptual method to assess body image: A cross-cultural validation in Canadian and Spanish women},

author = {G. Corno and A. Paquette and D. Burychka and M. Miragall and M. -C. Rivard and R. M. Baños and S. Bouchard},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189089793&doi=10.1002%2ferv.3086&partnerID=40&md5=99c221e60e3d5caad167cec6fd25dddd},

doi = {10.1002/erv.3086},

issn = {10724133 (ISSN)},

year  = {2024},

date = {2024-01-01},

journal = {European Eating Disorders Review},

abstract = {The objectives of this study were (a) to explore the preliminary cross-cultural validity of a visual-perceptual method to assess body image; (b) to examine potential differences and similarities in body image phenomena between women from two Western countries (i.e., Canada and Spain). 201 self-identified women participated in this cross-sectional study. Ideal, normal, and self-perceived body sizes were assessed using a visual-perceptual method, whereas body dissatisfaction was measured using both a visual-perceptual method and a questionnaire. Visual-perceptual body dissatisfaction was significantly correlated with questionnaire body dissatisfaction, suggesting a preliminary convergent validity between the two assessment methods. Women in both countries were dissatisfied with their bodies. Compared to their self-perceived body, all women chose a significantly thinner visual representation of their “normal” and ideal body. These results may suggest a shift towards the “thin” body as not only ideal, but also normative. This study provides the first evidence for the cross-cultural validity of a visual-perceptual body image assessment tool. The results of the current study confirm the presence of “normative discontent”, and suggest more cross-country similarities than differences among women from these two Western societies. © 2024 Eating Disorders Association and John Wiley & Sons Ltd.},

note = {Publisher: John Wiley and Sons Ltd},

keywords = {Adolescent, adult, analytic method, article, assessment, body dissatisfaction, body image, body image dissatisfaction, Body Size, Canada, Canadian, controlled study, convergent validity, correlation analysis, cross validation, cross-country, Cross-Cultural Comparison, Cross-Sectional Studies, cross-sectional study, cultural anthropology, cultural factor, exploratory research, female, human, Humans, ideal body size, intermethod comparison, Middle Aged, normal body size, psychology, questionnaire, reproducibility, Reproducibility of Results, Self Concept, Spain, Spaniard, Surveys and Questionnaires, thin ideal, underweight, vision, Visual Perception, visual-perceptual method, Young Adult},

pubstate = {published},

tppubtype = {article}

}

@article{levesque-lacasse_relationship_2024,

title = {The Relationship Between the Ability to Infer Another's Pain and the Expectations Regarding the Appearance of Pain Facial Expressions: Investigation of the Role of Visual Perception},

author = {A. Lévesque-Lacasse and M. -C. Desjardins and D. Fiset and C. Charbonneau and S. Cormier and C. Blais},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85171357836&doi=10.1016%2fj.jpain.2023.08.007&partnerID=40&md5=dcfeb2e0eb9f13b42122ddfcbc987fc0},

doi = {10.1016/j.jpain.2023.08.007},

issn = {15265900},

year  = {2024},

date = {2024-01-01},

journal = {Journal of Pain},

volume = {25},

number = {1},

pages = {250–264},

abstract = {Although pain is a commonly experienced and observed affective state, it is frequently misinterpreted, which leads to inadequate caregiving. Studies show the ability at estimating pain in others (estimation bias) and detecting its subtle variations (sensitivity) could emerge from independent mechanisms. While estimation bias is modulated by variables such as empathy level, pain catastrophizing tendency, and overexposure to pain, sensitivity remains unimpacted. The present study verifies if these 2 types of inaccuracies are partly explained by perceptual factors. Using reverse correlation, we measured their association with participants' mental representation of pain, or more simply put, with their expectations of what the face of a person in pain should look like. Experiment 1 shows that both parameters are associated with variations in expectations of this expression. More specifically, the estimation bias is linked with expectations characterized by salient changes in the middle face region, whereas sensitivity is associated with salient changes in the eyebrow region. Experiment 2 reveals that bias and sensitivity yield differences in emotional representations. Expectations of individuals with a lower underestimation tendency are qualitatively rated as expressing more pain and sadness, and those of individuals with a higher level of sensitivity as expressing more pain, anger, and disgust. Together, these results provide evidence for a perceptual contribution in pain inferencing that is independent of other psychosocial variables and its link to observers’ expectations. Perspective: This article reinforces the contribution of perceptual mechanisms in pain assessment. Moreover, strategies aimed to improve the reliability of individuals’ expectations regarding the appearance of facial expressions of pain could potentially be developed, and contribute to decrease inaccuracies found in pain assessment and the confusion between pain and other affective states. © 2023 United States Association for the Study of Pain, Inc.},

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

keywords = {anger, article, chronic pain, disgust, emotion, Emotions, Empathy, Estimation bias, expectation, eyebrow, Facial Expression, Facial expressions of pain, human, Humans, mental representation, Mental representations, motivation, Pain, pain assessment, psychology, questionnaire, reliability, reproducibility, Reproducibility of Results, Reverse correlation, sadness, sensitivity, vision, Visual Perception},

pubstate = {published},

tppubtype = {article}

}

@article{cipolletta_validation_2024,

title = {Validation of the Italian Version of the Telepresence in Videoconference Scale (TVS) in a Sample of Psychologists and Psychotherapists During the COVID-19 Pandemic},

author = {S. Cipolletta and S. Tomaino and S. Bouchard and M. Berthiaume and G. Manzoni},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195533802&doi=10.1002%2fcpp.3015&partnerID=40&md5=255de2597dc6747136150f331ae970ab},

doi = {10.1002/cpp.3015},

issn = {10633995 (ISSN)},

year  = {2024},

date = {2024-01-01},

journal = {Clinical Psychology and Psychotherapy},

volume = {31},

number = {3},

abstract = {Objective: Telepresence may play a fundamental role in establishing authentic interactions and relationships in online psychological interventions and can be measured by the Telepresence in Videoconference Scale (TVS), which was validated only with patients to date. This post hoc study aimed to validate the Italian version of the TVS with mental health professionals. Method: The Italian TVS was included in an online survey, whose primary aim was to assess the experiences of Italian psychologists and psychotherapists with online interventions during the first wave of the COVID-19 pandemic and was filled in by 296 participants (83.4% females, mean age = 42 years old). Results: Exploratory factor analysis supported the original factor structure only partially because the scale ‘Absorption’ (i.e., the feeling of losing track of time), as it was formulated, did not measure telepresence. Correlations were also explored between the TVS scales and some survey items pertaining to intimacy and emotional closeness to patients, comfort and positive as well as negative experiences with online interventions. Conclusion: The TVS may be a useful tool to measure physical and social telepresence in online interventions, both in patients and in professionals. © 2024 John Wiley & Sons Ltd.},

note = {Publisher: John Wiley and Sons Ltd},

keywords = {adult, coronavirus disease 2019, COVID-19, female, human, Humans, Italy, male, Middle Aged, online psychological interventions, pandemic, Pandemics, procedures, psychology, Psychometrics, psychometry, psychotherapist, Psychotherapists, psychotherapy, questionnaire, reproducibility, Reproducibility of Results, SARS-CoV-2, Severe acute respiratory syndrome coronavirus 2, Surveys and Questionnaires, Telemedicine, telepresence, Validation, videoconference, videoconferencing},

pubstate = {published},

tppubtype = {article}

}

@article{guerette_verbal_2024,

title = {Verbal Aggressions Against Major League Baseball Umpires Affect Their Decision Making},

author = {J. Guérette and C. Blais and D. Fiset},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186437090&doi=10.1177%2f09567976241227411&partnerID=40&md5=966b63094c30e7194f2065ac7dd1b4fe},

doi = {10.1177/09567976241227411},

issn = {09567976 (ISSN)},

year  = {2024},

date = {2024-01-01},

journal = {Psychological Science},

volume = {35},

number = {3},

pages = {288–303},

abstract = {Excessively criticizing a perceived unfair decision is considered to be common behavior among people seeking to restore fairness. However, the effectiveness of this strategy remains unclear. Using an ecological environment where excessive criticism is rampant—Major League Baseball—we assess the impact of verbal aggression on subsequent home-plate umpire decision making during the 2010 to 2019 seasons (N = 153,255 pitches). Results suggest a two-sided benefit of resorting to verbal abuse. After being excessively criticized, home-plate umpires (N = 110 adults, employed in the United States) were less likely to call strikes to batters from the complaining team and more prone to call strikes to batters on the opposing team. A series of additional analyses lead us to reject an alternative hypothesis, namely that umpires, after ejecting the aggressor, seek to compensate for the negative consequences brought on by the loss of a teammate. Rather, our findings support the hypothesis that, under certain conditions, verbal aggression may offer an advantage to complainants. © The Author(s) 2024.},

note = {Publisher: SAGE Publications Inc.},

keywords = {adult, aggression, aggressive behavior, Baseball, decision making, decision-making, human, Humans, open data, open materials, Performance, social influences, sport psychology, United States},

pubstate = {published},

tppubtype = {article}

}

@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}

}

@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}

}

@article{corno_role_2023,

title = {The role of perceived social support on pregnant women’s mental health during the COVID-19 pandemic},

author = {G. Corno and D. Villani and F. Montigny and T. Pierce and S. Bouchard and S. Molgora},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128462603&doi=10.1080%2f02646838.2022.2042799&partnerID=40&md5=aa1b1a6cbd1fab3d6302a31612c86068},

doi = {10.1080/02646838.2022.2042799},

issn = {02646838},

year  = {2023},

date = {2023-01-01},

journal = {Journal of Reproductive and Infant Psychology},

volume = {41},

number = {5},

pages = {488–502},

abstract = {Purpose: The present study aimed at investigating which sources of social support best account for pregnant women’s levels of psychological distress and mental well-being during the COVID-19 pandemic. Methods: 274 Italian and Canadian expectant mothers completed an online-based survey including measures of perceived social support (from family, significant other and friends), state anxiety, depressive symptoms, and satisfaction with life. Correlation analyses and amultivariate analysis of covariance were performed to explore how social support from different sources was related to depressive symptoms, state anxiety and satisfaction with life. Results: Different sources of social support contributed to explaining women’s psychological distress and mental well-being. Social support both from family and friends was significantly related to women’s state anxiety and depressive symptoms. Social support from friends was specifically related to women’s satisfaction with life. Conclusion: Our findings endorse the crucial role of perceived social support as a protective factor for pregnant women’s mental health. In the context of the COVID-19 pandemic, our results suggest that support from family seems important in preventing psychological distress, whereas support from friends is also associated with mental well-being. These results may help designing future interventions aimed at improving women’s perinatal mental health in life-threatening conditions. ©, Society for Reproductive and Infant Psychology.},

note = {Publisher: Routledge},

keywords = {adult, Anxiety, article, Canada, coronavirus disease 2019, COVID-19, cross-sectional study, Depression, Edinburgh Postnatal Depression Scale, educational status, female, human, Humans, major clinical study, Mental health, mental stress, Multidimensional Scale of Perceived Social Support, pandemic, Pandemics, postnatal depression, Pregnancy, pregnant woman, Pregnant Women, psychology, questionnaire, Satisfaction with Life Scale, Social Support, State Trait Anxiety Inventory},

pubstate = {published},

tppubtype = {article}

}

@article{maiano_validation_2023,

title = {Validation of an Adapted Version of the Glasgow Anxiety Scale for People with Intellectual Disabilities (GAS-ID)},

author = {C. Maïano and A. J. S. Morin and C. Gagnon and E. Olivier and D. Tracey and R. G. Craven and S. Bouchard},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125069450&doi=10.1007%2fs10803-021-05398-7&partnerID=40&md5=7347eb15e719941ce5eca046eb7f4564},

doi = {10.1007/s10803-021-05398-7},

issn = {01623257},

year  = {2023},

date = {2023-01-01},

journal = {Journal of Autism and Developmental Disorders},

volume = {53},

number = {4},

pages = {1560–1572},

abstract = {The objective of the study was to validate adapted versions of the Glasgow Anxiety Scale for people with Intellectual Disabilities (GAS-ID) simultaneously developed in English and French. A sample of 361 youth with mild to moderate intellectual disability (ID) (M = 15.78 years) from Australia (English-speaking) and Canada (French-speaking) participated in this study. The results supported the factor validity and reliability, measurement invariance (between English and French versions), a lack of differential items functioning (as a function of youth’s age and ID level, but not sex in the English-Australian sample), temporal stability (over one year interval), and convergent validity (with global self-esteem and school loneliness) of a bi-factor exploratory structural equation modeling representation of the GAS-ID. The present study supports the psychometric properties of the English-Australian and French-Canadian versions of the adapted GAS-ID. © 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.},

note = {Publisher: Springer},

keywords = {Adolescent, adult, Anxiety, anxiety assessment, article, Australia, autism, Autism Spectrum Disorder, Canada, Child, confirmatory factor analysis, controlled study, convergent validity, emotion assessment, English (language), exploratory structural equation modeling, female, French (language), glasgow anxiety scale, human, Humans, instrument validation, Intellectual Disability, intellectual impairment, intelligence quotient, loneliness, major clinical study, male, Psychometrics, psychometry, reliability, reproducibility, Reproducibility of Results, school child, school loneliness scale, self description questionnaire 1, self esteem, self report, self-concept assessment, statistical analysis, validity, Young Adult},

pubstate = {published},

tppubtype = {article}

}

@article{bouchard_moderating_2023,

title = {The moderating and mediating role of telepresence and cognitive change in cognitive behaviour therapy delivered via videoconference},

author = {S. Bouchard and M. Berthiaume and G. Robillard and M. Allard and I. Green-Demers and S. Watts and A. Marchand and P. Gosselin and F. Langlois and G. Belleville and M. J. Dugas},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139800809&doi=10.1002%2fcpp.2816&partnerID=40&md5=5eac58684326b5475037e1474aa932f7},

doi = {10.1002/cpp.2816},

issn = {10633995},

year  = {2023},

date = {2023-01-01},

journal = {Clinical Psychology and Psychotherapy},

volume = {30},

number = {3},

pages = {575–586},

abstract = {In this study, we combined the results of two controlled trials and examined the relationships between working alliance, telepresence, cognitive change and treatment outcome. Sixty-five participants with a primary diagnosis of generalized anxiety disorder (GAD) or panic disorder with agoraphobia (PDA) received cognitive behaviour therapy delivered via videoconference. Participants completed measures of working alliance and telepresence after three psychotherapy sessions. They also completed measures of treatment outcome and dysfunctional beliefs (cognitive change) specific to PDA and GAD at pretreatment and posttreatment. Results revealed that telepresence at the fifth session moderated the relationship between the working alliance at the first and fifth sessions. As telepresence increased, its impact on the working alliance diminished. Cognitive change mediated the relationship between the working alliance at the fifth session and treatment outcome. © 2022 John Wiley & Sons Ltd.},

note = {Publisher: John Wiley and Sons Ltd},

keywords = {agoraphobia, Anxiety disorder, Anxiety Disorders, cognition, cognitive behavioral therapy, human, Humans, procedures, treatment outcome, videoconferencing},

pubstate = {published},

tppubtype = {article}

}

@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}

}