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Keating, Connor T.; Fraser, Dagmar S.; Sowden, Sophie; Cook, Jennifer L. – Journal of Autism and Developmental Disorders, 2022
To date, studies have not established whether autistic and non-autistic individuals differ in emotion recognition from facial motion cues when matched in terms of alexithymia. Here, autistic and non-autistic adults (N = 60) matched on age, gender, non-verbal reasoning ability and alexithymia, completed an emotion recognition task, which employed…
Descriptors: Autism, Pervasive Developmental Disorders, Emotional Response, Nonverbal Communication
Said A. Salloum; Khaled Mohammad Alomari; Aseel M. Alfaisal; Rose A. Aljanada; Azza Basiouni – Smart Learning Environments, 2025
The integration of artificial intelligence in educational environments has the potential to revolutionize teaching and learning by enabling real-time analysis of students' emotions, which are crucial determinants of engagement, motivation, and learning outcomes. However, accurately detecting and responding to these emotions remains a significant…
Descriptors: Artificial Intelligence, Emotional Response, Psychological Patterns, Individualized Instruction
Duong Ngo; Andy Nguyen; Belle Dang; Ha Ngo – International Journal of Artificial Intelligence in Education, 2024
Artificial intelligence (AI) has been recognised as a promising technology for methodological progress and theoretical advancement in learning sciences. However, there remains few empirical investigations into how AI could be applied in learning sciences research. This study aims to utilize AI facial recognition to inform the learning regulation…
Descriptors: Artificial Intelligence, Nonverbal Communication, Human Body, Recognition (Psychology)
Petra Laamanen; Noona Kiuru; Olli Kiviruusu; Jallu Lindblom – International Journal of Behavioral Development, 2024
Research has consistently shown that difficulties in facial emotion recognition (FER) are associated with peer problems and internalizing symptoms during middle childhood. However, no longitudinal research has investigated the direction of effects, that is, how these constructs influence each other across time. In this preregistered three-wave…
Descriptors: Nonverbal Communication, Emotional Response, Visual Discrimination, Human Body
Harteis, Christian; Fischer, Christoph; Töniges, Torben; Wrede, Britta – Frontline Learning Research, 2018
Preventing humans from committing errors is a crucial aspect of man-machine interaction and systems of computer assistance. It is a basic implication that those systems need to recognise errors before they occur. This paper reports an exploratory study that utilises eye-tracking technology and automated face recognition in order to analyse test…
Descriptors: Learning Processes, Error Patterns, Error Correction, Eye Movements
Treinen, Evelyne; Corneille, Olivier; Luypaert, Gaylord – Cognition, 2012
Recent studies showed that stimuli are evaluated more favourably when they are perceived to capture others' attention, an effect coined "mimetic desire". The aim of the present research was to examine the combined role of Need for Cognition and target's facial trustworthiness in this effect. Participants saw movie excerpts of trustworthy and…
Descriptors: Visual Stimuli, Painting (Visual Arts), Films, Human Body
Sibuma, Bernadette – Journal of Interactive Learning Research, 2012
This study integrates agent research with a neurocognitive technique to study how character faces affect cognitive processing. The N170 event-related potential (ERP) was used to study face processing during simple decision-making tasks. Twenty-five adults responded to facial expressions (fear/neutral) presented in three designs…
Descriptors: Adults, Human Body, Recognition (Psychology), Visual Discrimination
Scherf, K. Suzanne; Behrmann, Marlene; Minshew, Nancy; Luna, Beatriz – Journal of Child Psychology and Psychiatry, 2008
Background: Impaired face processing is a widely documented deficit in autism. Although the origin of this deficit is unclear, several groups have suggested that a lack of perceptual expertise is contributory. We investigated whether individuals with autism develop expertise in visuoperceptual processing of faces and whether any deficiency in such…
Descriptors: Autism, Novelty (Stimulus Dimension), Cognitive Processes, Nonverbal Communication
Herba, Catherine M.; de Bruin, Esther; Althaus, Monika; Verheij, Fop; Ferdinand, Robert F. – Journal of Autism and Developmental Disorders, 2008
Previous studies indicate that Multiple Complex Developmental Disorder (MCDD) children differ from PDD-NOS and autistic children on a symptom level and on psychophysiological functioning. Children with MCDD (n = 21) and PDD-NOS (n = 62) were compared on two facets of social-cognitive functioning: identification of neutral faces and facial…
Descriptors: Nonverbal Communication, Autism, Recognition (Psychology), Symptoms (Individual Disorders)
Rose, Fredric E.; Lincoln, Alan J.; Lai, Zona; Ene, Michaela; Searcy, Yvonne M.; Bellugi, Ursula – Journal of Autism and Developmental Disorders, 2007
We sought to clarify the nature of the face processing strength commonly observed in individuals with Williams syndrome (WS) by comparing the face recognition ability of persons with WS to that of persons with autism and to healthy controls under three conditions: Upright faces with neutral expressions, upright faces with varying affective…
Descriptors: Recognition (Psychology), Autism, Visual Perception, Affective Behavior
Parr, Lisa A.; Heintz, Matthew; Akamagwuna, Unoma – Brain and Cognition, 2006
Previous studies have demonstrated the sensitivity of chimpanzees to facial configurations. Three studies further these findings by showing this sensitivity to be specific to second-order relational properties. In humans, this type of configural processing requires prolonged experience and enables subordinate-level discriminations of many…
Descriptors: Cognitive Processes, Recognition (Psychology), Nonverbal Communication, Visual Discrimination
Castelli, Fulvia – Autism: The International Journal of Research and Practice, 2005
The study investigated the recognition of standardized facial expressions of emotion (anger, fear, disgust, happiness, sadness, surprise) at a perceptual level (experiment 1) and at a semantic level (experiments 2 and 3) in children with autism (N= 20) and normally developing children (N= 20). Results revealed that children with autism were as…
Descriptors: Fear, Autism, Child Development, Emotional Response