Article
Psychology, Biological
Maurizio Codispoti, Antonia Micucci, Andrea De Cesarei
Summary: This study aimed to investigate the relationship between object categorization in natural scenes and emotional engagement by manipulating both bottom-up information and top-down context. The findings suggest that semantic analysis of visual scenes, in terms of object categorization, is a necessary condition for emotional engagement at the electrocortical level.
Article
Psychology, Biological
Andrew H. Farkas, Timothy J. Wanger, Dean Sabatinelli
Summary: The results of the study demonstrate that LPP shows a fundamental enhancement by emotional scene perception and is largely insensitive to contextual features, suggesting that strong emotional cues persistently engage orienting and evaluation processes.
BIOLOGICAL PSYCHOLOGY
(2021)
Article
Psychology, Biological
Nicola Sambuco
Summary: Recent findings questioned the replicability of fMRI in affective processing studies, suggesting that poor replicability may be due to a lack of emotional engagement. The current study tested the replicability of emotional enhancement using a large sample size, showing that replicability increased with increasing sample size. Importantly, even with relatively small samples, fMRI replicability during emotional compared to neutral scene viewing was good to excellent, indicating the importance of successful emotional engagement in task-related brain regions.
Article
Computer Science, Artificial Intelligence
Asad Abbas, Stephan Chalup
Summary: This study introduces a new computer vision approach utilizing face pareidolia for affective analysis. By simulating human ability in recognizing non-existent faces, the approach outperforms other methods in predicting emotional responses.
Article
Computer Science, Software Engineering
Hansen Yang, Yangyu Fan, Guoyun Lv, Shiya Liu, Zhe Guo
Summary: The research proposes a novel method for image emotion recognition, leveraging emotional concepts as intermediaries to connect images and emotions by organizing the relationship between concepts and emotions in the form of a knowledge graph. By exploring the relation between images and emotions in the semantic embedding space and using a multi-task learning deep model, the method successfully recognizes image emotions from a visual perspective, with the fusion strategy showing promising experimental results.
Article
Behavioral Sciences
David Bouvarel, Jeremy Gardette, Manon Saint-Macary, Pascal Hot
Summary: An emotion-induced memory trade-off effect is commonly observed in complex tasks, where participants tend to better remember emotional information while performing poorly on neutral background information. This effect is not solely due to attentional bias towards emotional content, but may also involve other non-attentional cognitive processes.
FRONTIERS IN BEHAVIORAL NEUROSCIENCE
(2022)
Article
Psychology, Experimental
Jonathan M. Keefe, David H. Zald
Summary: The emotional attentional blink refers to a transient impairment in the ability to discriminate a single target when it is presented closely in time to an emotional distractor. This study found that emotional distractors impacted target processing in a lag-dependent, graded manner, as evidenced by changes in reaction time, target-vividness ratings, and target-discrimination accuracy.
Article
Psychology, Mathematical
Gaeun Son, Dirk B. Walther, Michael L. Mack
Summary: This study introduced a novel method to systematically control visual properties of natural scene stimuli using generative adversarial networks (GANs). Two behavioral experiments were conducted to validate the efficacy of scene wheels, showing that perceptual similarity judgment decreased as distances between scene images increased on the wheel, and memory precision varied systematically with scene wheel radius. These findings suggest that the novel approach offers insights into the mental representations of naturalistic visual experiences.
BEHAVIOR RESEARCH METHODS
(2022)
Article
Neurosciences
Dean Sabatinelli, Constantin Winker, Andrew H. Farkas, Maimu A. Rehbein, Markus Junghoefer
Summary: The introduction of the Research Domain Criteria (RDoC) approach has emphasized the need for research that involves multiple task types. However, the limited duration of experiments, especially in neuroimaging contexts, makes it challenging to obtain robust estimates of multiple behavioral domains. We propose an emotion-evoking paradigm that can be easily incorporated into existing fMRI protocols, providing reliable estimates of emotional reactivity. This experimental adjunct allows for initial comparisons between emotional modulation and the primary behavioral focus, potentially uncovering novel relationships between previously unrecognized domains of behavior.
FRONTIERS IN NEUROSCIENCE
(2023)
Review
Psychology, Developmental
Anais Leroy, Sara Spotorno, Sylvane Faure
Summary: Children and adolescents with ADHD struggle with processing emotional information in visual scenes, possibly due to a stronger impact of emotional stimuli and core deficits of the disorder leading to decreased overall scene processing.
EUROPEAN CHILD & ADOLESCENT PSYCHIATRY
(2021)
Article
Psychology, Multidisciplinary
Terezia Knejzlikova, Miroslav Svetlak, Tatiana Malatincova, Robert Roman, Jan Chladek, Jana Najmanova, Pavel Theiner, Pavla Linhartova, Tomas Kasparek
Summary: This study aimed to explore the relationship between physiological and emotional responses to mirror exposure in patients with restrictive anorexia. The findings showed that restrictive anorexia patients found mirror exposure more distressful subjectively, even though there were no significant differences in skin conductance response compared to healthy controls. Factors affecting differences in psychophysiological responsiveness to body exposure in anorectic patients require further exploration.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Robotics
Vitor Guizilini, Kuan-Hui Lee, Rares Ambrus, Adrien Gaidon
Summary: Self-supervised monocular depth estimation is crucial for robots to learn 3D perception, but there are challenges in handling dynamic scenes. In this paper, a new method called DRAFT is proposed, which combines synthetic data with geometric self-supervision to jointly learn depth, optical flow, and scene flow.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2022)
Article
Psychology, Social
Kenichi Ito, Chew Wei Ong
Summary: Emotional tears reliably indicate sadness in facial expressions, regardless of contextual information such as body postures, visual scenes, or written scenarios.
ASIAN JOURNAL OF SOCIAL PSYCHOLOGY
(2023)
Article
Psychology, Multidisciplinary
Eelke Spaak, Marius V. Peelen, Floris P. de Lange
Summary: According to predictive-processing theory, visual scene context may result in reduced processing of congruent objects. Through experiments, we found clear evidence for impaired perception of congruent objects in scenes, which was related to independent subjective ratings. These results support predictive-processing theory.
PSYCHOLOGICAL SCIENCE
(2022)
Article
Education & Educational Research
Kei Tomita
Summary: The study found that students' selection of instructional materials is influenced by their overall impression and personal expectations, highlighting the lack of a universal design that caters to all individuals. Therefore, it is crucial to pay attention to students' diverse visual perceptions in order to enhance learning outcomes.
ETR&D-EDUCATIONAL TECHNOLOGY RESEARCH AND DEVELOPMENT
(2022)