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He, Huizhong; Zhang, Yunxiang; Su, Mengmeng; Yi, Lixin; Lv, Jiayi – Journal of Deaf Studies and Deaf Education, 2023
Deaf and hearing adults perceive faces differently. This study investigates whether these differences are acquired during childhood development. We characterized facial perception in deaf and hearing children aged 7-17 using a perceptual discrimination task. Configural and featural information was manipulated in the eye and mouth facial regions.…
Descriptors: Deafness, Children, Adolescents, Visual Perception
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Lee, Jungwon; Penrod, Steven D. – Applied Cognitive Psychology, 2022
The current research conducted a three-level meta-analysis with a total of 159 journal articles on the other-race bias in facial identification, which had been published between 1969 and 2021. The effect size analysis yielded moderate pooled effect sizes of the other-race bias on face identification--people showed higher hit rates and…
Descriptors: Human Body, Identification, Racial Factors, Recognition (Psychology)
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Brooklyn J. Corbett; Jason M. Tangen; Rachel A. Searston; Matthew B. Thompson – Cognitive Research: Principles and Implications, 2024
Expert fingerprint examiners demonstrate impressive feats of memory that may support their accuracy when making high-stakes identification decisions. Understanding the interplay between expertise and memory is therefore critical. Across two experiments, we tested fingerprint examiners and novices on their visual short-term memory for fingerprints.…
Descriptors: Foreign Countries, Police, Novices, Expertise
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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
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Hong, Jon-Chao; Li, Yushun; Kuo, Shuo-Ying; An, Xin – Education and Information Technologies, 2022
A great deal of attention has been focused on technological innovation, for example, face recognition, which has been used in some countries in various fields. Nonetheless, there has been little attention paid to parents' acceptance of the use of face recognition systems on campus. To address this gap in the literature, this study examined how…
Descriptors: Human Body, Recognition (Psychology), Visual Discrimination, Parent Attitudes
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Chen, Wei; Kassa, Mahlet T.; Cheung, Olivia S. – Cognitive Research: Principles and Implications, 2023
Although faces of in-group members are generally thought to be processed holistically, there are mixed findings on whether holistic processing remains robust for faces of out-group members and what factors contribute to holistic processing of out-group faces. This study examined how implicit social bias, experience with out-group members, and…
Descriptors: Informed Consent, Whites, Asians, Young Adults
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Di Lorenzo, Renata; Munsters, Nicolette M.; Ward, Emma K.; de Jonge, Maretha; Kemner, Chantal; van den Boomen, Carlijn – Journal of Autism and Developmental Disorders, 2021
Individuals with autism spectrum disorder (ASD) show atypical processing of facial expressions. Research with autistic toddlers suggests that abnormalities in processing of spatial frequencies (SFs) contribute to such differences. The current event-related-potential (ERP) study investigated differences between 10-month-old infants with high- and…
Descriptors: Fear, Emotional Response, Brain, Cognitive Processes
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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)
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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