It is commonly accepted that attention is spontaneously biased towards faces and eyes. However, the role of stimulus features and task settings in this finding has not yet been systematically investigated. Here, we tested if faces and facial features bias attention spontaneously when stimulus factors, task properties, response conditions, and eye movements are controlled. In three experiments, participants viewed face, house, and control scrambled face-house images in an upright and inverted orientation. The task was to discriminate a target that appeared with equal probability at the previous location of the face, house, or the control image. In all experiments, our data indicated no spontaneous biasing of attention for targets occurring at the previous location of the face. Experiment 3, which measured oculomotor biasing, suggested a reliable but infrequent saccadic bias towards the eye region of upright faces. Importantly, these results did not reflect our specific laboratory settings, as in Experiment 4, we present a full replication of a classic finding in the literature demonstrating reliable social attention bias. Together, these data suggest that attentional biasing for social information is task and context mediated, and less robust than originally thought.
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http://dx.doi.org/10.1007/s00426-018-1130-4 | DOI Listing |
Arq Bras Oftalmol
January 2025
School of International Education, China University of Petroleum (East China), Qingdao, Shandong, China.
This article systematically reviewed 327 documents in the core collection of the Web of Science database regarding ChatGPT applications in the writing domain. This study aimed to comprehensively assess the latest progress and potential applications. ChatGPT demonstrates significant potential in overcoming writing anxiety, improving writing efficiency, generating initial scientific papers, and assisting researchers and students in giving feedback.
View Article and Find Full Text PDFGerontologist
January 2025
Department of Gerontology: Aging and Adulthood, Western Oregon University, Monmouth, OR, USA.
Background And Objectives: Increasing numbers of unhoused older individuals in the U.S. underscores the urgency for tailored services and support.
View Article and Find Full Text PDFFront Nutr
January 2025
Department of Epidemiology and Health Statistics, Tianjin Medical University, Tianjin, China.
Background: Although more risk prediction models are available for feeding intolerance in enteral-nourishment patients, it is still unclear how well these models will work in clinical settings. Future research faces challenges in validating model accuracy across populations, enhancing interpretability for clinical use, and overcoming dataset limitations.
Objective: To thoroughly examine studies that have been published on feeding intolerance risk prediction models for enteral nutrition patients.
EClinicalMedicine
February 2025
The Healthcare Improvement Studies (THIS) Institute, University of Cambridge, Cambridge, UK.
Background: Inaccurate diagnosis of physical health problems in people with mental health conditions may contribute to poorer health outcomes. We review the evidence on whether individuals with mental health conditions are at risk of diagnostic inequalities related to their physical health.
Methods: We searched MEDLINE, PsycINFO, Embase, and CINAHL, 1 September 2002-18 Septemebr 2024 (PROSPERO 2022: CRD42022375892).
JDS Commun
January 2025
Department of Animal and Food Science, University of Wisconsin-River Falls, River Falls, WI 54022.
The dairy industry has profound economic importance, and individuals earning postsecondary degrees within dairy science-related fields are future industry leaders. Yet, enrollment at universities is declining and there is a labor shortage within the dairy industry. The objective of this review article is to highlight current trends within academia, identify some techniques to improve student experiences within higher education, and describe successful education strategies employed within dairy science-related fields.
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