Very humanlike artificial agents can induce feelings of uneasiness in human perceivers. Stimuli that generate this response are said to occupy "the uncanny valley". Given inconsistent findings in the literature, whether or not nonhuman animals experience the uncanny valley is unclear. Here, we recorded the visual attention of eleven male rhesus monkeys as they viewed faces varying in realness across five levels, with visual attention measured by both number and duration of visual fixations on faces as a whole and on areas of interest within the faces (e.g., eyes, mouth). Face stimuli varied in terms of the realism of the image and behavior depicted by the face (lipsmack, threat, bared teeth, and neutral). We largely found no support that rhesus monkeys perceive an uncanny valley when viewing our stimuli; however, monkeys did generally pay more attention to eyes and less attention to mouths in real images compared to less realistic images. Across all stimuli, monkeys' visual attention was drawn to the mouths of images when teeth were visible. These findings suggest that rhesus monkeys in our study did not display an uncanny valley effect when viewing realistic stimuli but did percieve affective information depicted by faces regardless of how real those faces appear.
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http://dx.doi.org/10.1038/s41598-022-14615-x | DOI Listing |
Int J Exerc Sci
December 2024
College of Sports Science and Technology, Mahidol University, Salaya, Nakhonpathom, THAILAND.
Visual processing is crucial for sports performance, influencing athletes' ability to interpret and respond to visual stimuli. This study investigated distinct visual processing patterns among Thai elite athletes in gymnastics, soccer, and esports, utilizing visual P300 event-related potentials (P300 ERPs). Forty-two female athletes (14 gymnasts, 14 soccer players, and 14 esports athletes) participated.
View Article and Find Full Text PDFCurr Med Imaging
January 2025
School of Life Sciences, Tiangong University, Tianjin 300387, China.
Objective: The objective of this research is to enhance pneumonia detection in chest X-rays by leveraging a novel hybrid deep learning model that combines Convolutional Neural Networks (CNNs) with modified Swin Transformer blocks. This study aims to significantly improve diagnostic accuracy, reduce misclassifications, and provide a robust, deployable solution for underdeveloped regions where access to conventional diagnostics and treatment is limited.
Methods: The study developed a hybrid model architecture integrating CNNs with modified Swin Transformer blocks to work seamlessly within the same model.
Exp Neurobiol
December 2024
Department of Brain and Cognitive Engineering, Korea University, Seoul 02841, Korea.
Research on brain aging using resting-state functional magnetic resonance imaging (rs-fMRI) has typically focused on comparing "older" adults to younger adults. Importantly, these studies have often neglected the middle age group, which is also significantly impacted by brain aging, including by early changes in motor, memory, and cognitive functions. This study aims to address this limitation by examining the resting state networks in middle-aged adults via an exploratory whole-brain ROI-to-ROI analysis.
View Article and Find Full Text PDFBackground: In recent years, the increase of the post-transplantation diabetes mellitus (PTDM) after renal transplantation encourages people to do a lot of research on the disease. This paper conducted a bibliometric study on PTDM related literature to explore the risk factors of diabetes after kidney transplantation, as well as the current status, hotspots and development trends of PTDM research, so as to provide reference for researchers in related fields.
Methods: We searched the Web of Science Core Collection (WoSCC) database for PTDM literature from January 1, 1990, to August 20, 2023, and used VOSviewer, CiteSpace, and the R package 'bibliometrix' to do bibliometric analysis.
Psychon Bull Rev
January 2025
Department of Psychology, McGill University, 2001 Av. McGill College, Montréal, QC, H3A 1G1, Canada.
A growing body of evidence across psychology suggests that (cognitive) effort exertion increases in proximity to a goal state. For instance, previous work has shown that participants respond more quickly, but not less accurately, when they near a goal-as indicated by a filling progress bar. Yet it remains unclear when over the course of a cognitively demanding task do people monitor progress information: Do they continuously monitor their goal progress over the course of a task, or attend more frequently to it as they near their goal? To answer this question, we used eye-tracking to examine trial-by-trial changes in progress monitoring as participants completed blocks of an attentionally demanding oddball task.
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