An eye-of-origin singleton, e.g., a bar shown to the left eye among many other bars shown to the right eye, can capture attention and gaze exogenously or reflexively, even when it appears identical to other visual input items in the scene and when the eye-of-origin feature is irrelevant to the observer's task. Defining saliency as the strength of exogenous attraction to attention, we say that this eye-of-origin singleton, or its visual location, is salient. Defining the ocularity of a visual input item as the relative difference between its left-eye input and its right-eye input, this paper shows the general case that an ocularity singleton is also salient. For example, a binocular input item among monocular input items is salient, so is a left-eye-dominant input item (e.g., a bar with a higher input contrast to the left eye than to the right eye) among right-eye-dominant items. Saliency by unique input ocularity is analogous to saliency by unique input colour (e.g., a red item among green ones), as colour is determined by the relative difference(s) between visual inputs to different photoreceptor cones. Just as a smaller colour difference between a colour singleton and background items makes this singleton less salient, so does a smaller ocularity difference between an ocularity singleton and background items. While a salient colour difference is highly visible, a salient ocularity difference is often perceptually invisible in some cases and discouraging gaze shifts towards it in other cases, making its behavioural manifestation not as apparent. Saliency by ocularity contrast provides another support to the idea that the primary visual cortex creates a bottom-up saliency map to guide attention exogenously.
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http://dx.doi.org/10.3390/vision2010012 | DOI Listing |
JMIR Hum Factors
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Nursing Research, Department of Nursing, Memorial Sloan Kettering Cancer Center, New York, NY, United States.
Background: Remote patient monitoring (RPM) aims to improve patient access to care and communication with clinical providers. Overall, understanding the usability of RPM applications and their influence on clinical care workflows is limited from the perspectives of clinician end users at a cancer center in the Northeastern United States.
Objective: This study aims to explore the usability and functionality of RPM and elicit the perceptions and experiences of oncology clinicians using RPM for oncology patients after hospital discharge.
JMIR Med Educ
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Institute of Medicine, Suranaree University of Technology, 111 University Avenue, Nakhon Ratchasima, 30000, Thailand, 66 44223956.
Background: Artificial intelligence (AI) has become widely applied across many fields, including medical education. Content validation and its answers are based on training datasets and the optimization of each model. The accuracy of large language model (LLMs) in basic medical examinations and factors related to their accuracy have also been explored.
View Article and Find Full Text PDFBMC Bioinformatics
January 2025
Institute of Computer Science, University of Rostock, 18051, Rostock, Germany.
Background: Interpretability is a topical question in recommender systems, especially in healthcare applications. An interpretable classifier quantifies the importance of each input feature for the predicted item-user association in a non-ambiguous fashion.
Results: We introduce the novel Joint Embedding Learning-classifier for improved Interpretability (JELI).
Rural Remote Health
January 2025
Indiana University School of Medicine, Indianapolis, Indiana, USA.
Introduction: Perceived social support is a psychological construct that is used to describe the 'perception of adequacy' of the support being provided by a person's social network. Higher perceived social support has been linked to multiple benefits across numerous studies over the past several decades and among multiple populations. The Multidimensional Scale of Perceived Social Support (MSPSS) is a 12-item scale to assess the construct of perceived social support.
View Article and Find Full Text PDFHealth Expect
February 2025
Centre for Mental Health and Community Wellbeing, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, Victoria, Australia.
Background: Adults who live or work with children are an important source of support and are gateways to professional help when a child is experiencing a mental health problem. This study aimed to develop consensus-based guidelines on how adults such as parents, educators or health professionals should approach a child aged 5-12 years to discuss concerns about the child's mental health and seek help.
Methods: A Delphi consensus method with three rounds was used.
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