Results 71 to 80 of about 260,048 (97)

A Domain Based Approach to Social Relation Recognition [PDF]

arXiv, 2017
Social relations are the foundation of human daily life. Developing techniques to analyze such relations from visual data bears great potential to build machines that better understand us and are capable of interacting with us at a social level. Previous investigations have remained partial due to the overwhelming diversity and complexity of the topic ...
arxiv  

Pose as a Modality: A Psychology-Inspired Network for Personality Recognition with a New Multimodal Dataset [PDF]

arXiv
In recent years, predicting Big Five personality traits from multimodal data has received significant attention in artificial intelligence (AI). However, existing computational models often fail to achieve satisfactory performance. Psychological research has shown a strong correlation between pose and personality traits, yet previous research has ...
arxiv  

Editorial: Deciphering population neuronal dynamics: from theories to experiments

Frontiers in Systems Neuroscience, 2023
Hongdian Yang, Woodrow L. Shew, Shan Yu, Artur Luczak, Carsen Stringer, Michael Okun   +5 more
doaj   +1 more source

Cognition in elite soccer players: a general model

Frontiers in Psychology
This paper presents a general model of the cognitive processes involved in each play situation of soccer at the elite level. Theoretically the model draws on general frameworks from cognitive psychology and neuroscience, in particular the affordance ...
Thomas Habekost, Jacob Ovesen, Jes Buster Madsen, Jes Buster Madsen   +3 more
doaj   +1 more source

Distinguishing True From False Confessions Using Physiological Patterns of Concealed Information Recognition – A Proof of Concept Study Assistant Professor Honorary Research Fellow Associate Professor of Forensic Psychology

Wrongful conviction cases indicate that not all confessors are guilty. However, there is currently no validated method to assess the veracity of confessions. In this preregistered study, we evaluate whether a new application of the Concealed Information Test (CIT) is a potentially valid method to make a distinction between true and false admissions of ...
Linda Geven, Gershon Ben-Shakhar, Saul Kassin, Bruno verschuere   +3 more
openaire   +1 more source

A multidimensional approach to the self in non-human animals through the Pattern Theory of Self

Frontiers in Psychology
In the last decades, research on animal consciousness has advanced significantly, fueled by interdisciplinary contributions. However, a critical dimension of animal experience remains underexplored: the self.
Matteo Laurenzi, Antonino Raffone, Shaun Gallagher, Shaun Gallagher, Salvatore G. Chiarella, Salvatore G. Chiarella   +5 more
doaj   +1 more source

Content-Based Instruction Understood in Terms of Connectionism and Constructivism

L2 Journal, 2016
Despite the number of articles devoted to the topic of content-based instruction (CBI), little attempt has been made to link the claims for CBI to research in cognitive science. In this article, I review the CBI model of foreign language (FL) instruction
Stephanie Lain
doaj  

Supervised-learning methods for pattern recognition in fMRI data for the identification of informative brain regions in psychological contexts

, 2019
Tesis Univ. Granada.
openaire   +1 more source

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language [PDF]

arXiv
Traditional psychological evaluations rely heavily on human observation and interpretation, which are prone to subjectivity, bias, fatigue, and inconsistency. To address these limitations, this work presents a multimodal emotion recognition system that provides a standardised, objective, and data-driven tool to support evaluators, such as psychologists,
arxiv  

A Chinese Multi-label Affective Computing Dataset Based on Social Media Network Users [PDF]

arXiv
Emotion and personality are central elements in understanding human psychological states. Emotions reflect an individual subjective experiences, while personality reveals relatively stable behavioral and cognitive patterns. Existing affective computing datasets often annotate emotion and personality traits separately, lacking fine-grained labeling of ...
arxiv