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25 results for “affective perception”
Label-based expectations affect reward perception in bumblebees
<p>While classic models of animal decision-making assume that individuals objectively assess the absolute value of options, decades of research have shown that rewards are often evaluated relative to prior experience, creating 'contrast effects'. Contrast effects are often assumed to be purely sensory, yet consumer psychology tells us that label-based expectations can affect value perception. However, this has rarely been tested in non-model systems. Bumblebees forage on a variety of flower types that vary in their signals and rewards and show clear contrast effects when rewards are lower than their immediate previous experience. Here we manipulated bees' expectations of a stimulus' quality, before downshifting the reward to induce incentive contrast. We found that contrast effects were not solely driven by prior experience with a better reward, but also influenced by experience with associated stimuli. Bees were faster to accept the lower-quality reward when it was paired with a novel rather than a familiar stimulus. We then explored the boundaries of these label-based expectations by testing bees along a stimulus gradient and found that expectations generalized to similar stimuli. Such reference-dependent evaluations may play an important role in bees' foraging choices, with the potential to impact floral evolution and plant community dynamics.</p>
Metagenomics education in a modular CURE format positively affects students' scientific discovery perception and data analytical skills
<p>The targeted metagenomics study performed by Pollock et al. <em>(Pollock 2018)</em> was part of the Global Coral Microbiome Project <em>(Vega Thurber Lab 2014)</em>. Since the original publication of Pollock et al. <em>(Pollock 2018) </em>was written for a highly specialized academic public, we provided Bsc. students with a short introduction of the paper and guided them through the metadata table stored in the <em>gcmp16S_map_r25.txt </em>file under the <em>GCMP Australia sequence data, OTU tables, and metadata</em> folder (<a href="https://doi.org/10.6084/m9.figshare.c.3855466.v2">https://doi.org/10.6084/m9.figshare.c.3855466.v2</a>).</p> <p>In order to process the fastq-files and obtain OTU tables, a custom-made pipeline on a Galaxy instance <em>(Galaxy Community)</em> was used. This pipeline contained data analytical tools obtained from the Naturalis Biodiversity Center GitHub environment (<a href="https://github.com/naturalis">https://github.com/naturalis</a>). In order to align with the newest Galaxy best practices, we updated the tools and links to the original as well as the updated GitHub and toolshed versions are included in the references list.</p> <p>The names of the original raw fastq-files contain many dots which can hamper file-type recognition during downstream analyses in Galaxy. Therefore, prior to distributing the fastq-files to the students, these names were renamed using the ManageZIP tool <em>(The BLFS Development Team 1999-2023)</em>. Dots were replaced with underscores, with an exception made for the last 2 file type extension dots. For example, the file name <em>E1.2.Tur.pelt.1.20140814.M_S71_L001_R1_001.fastq.gz</em> was changed into <em>E1_2_Tur_pelt_1_20140814_M_S71_L001_R1_001_1.fastq.gz</em>. Similarly, the filenames in the metadata table were adjusted accordingly. The total collection of renamed file names is available through this zenodo repository as wel as the accompanying metadata file.</p>
Execution of saccadic eye movements affects speed perception
<p>This depository contains the data from different experiments regarding the perceived speed of moving targets tracked with different oculomotor behavior.</p> <p>The folders "Gap Paradigm" and "Step Paradigm" contain the main data for the manuscript. The folders "Vertical Offset Control" and "Awareness of Saccades" data from additional control experiments.</p> <p>In the folders "Gap Paradigm" and "Step Paradigm" you will find additional folders seperating the conditions for the collected data. One "Pilot" Folder contains the data used in the pilot experiment to determine the relevant eye crossing times. The "Speed Discrimination" Folder contains the files where participants made judgements about moving objects while tracking it with the eyes. In the "Fixation" folder you find the data for the fixation control where observes saw the same stimulus as during the speed discrimination task, but where not allowed to track the moving object.</p> <p>For each of the experiments we have a folder for the seperate blocks of the participant, which contains a logfile which specifys the parameters used for all trials and seperate files which contain information about the eye position during each trial.</p> <p>The structure of the eye position files is always the same: time, x-position, y-position, events marked by the eyelink. The x- and y-position are coded in pixels on the screen. The parameters specified in the log-fileare explained in an additional readme file.</p>
Löhr-Limpens, M., Göhringer, F., Schenk, T., & Hesse, C. (2019). 'Grasping and perception are both affected by irrelevant information and secondary tasks: new evidence from the Garner paradigm'. Psychological Research. DOI: 10.1007/s00426-019-01151-z
<p>This repository contains 6 data files and one readme file describing the content of the data files.</p> <p> </p>
Factors affecting perception of child weight
<p><strong>Background</strong></p> <p>Parental misperception and underestimation of their child's weight are documented in studies. Demographic factors like age and gender have been linked to misclassification. However, modifiable factors that could potentially frame future intervention and prevention strategies have not been explored. This study aimed to assess factors that could predict parental misclassification of their preschool child's weight.</p> <p><strong>Methods</strong></p> <p>This was a cross-sectional study with 198 parents and their 2- to 5-year-old children who attended standalone preschools or childcare centers with preschools. Parents completed a questionnaire that asked about demographic features, personal and family health, and the assessment of their child's weight using the three most frequently utilized measures. Logistic regression was conducted to assess the association between parental factors and child weight classification status. Instruments included the Parental Self-Efficacy for Promoting Healthy Physical Activity and Dietary Behaviors in Children Scale (PSEPAD), the Obesity Risk Scale (ORK-10), and the Adolescent Obesity Risk Scale (AORK). Analyses included frequencies, chi-square tests, Kappa coefficients, and logistic regressions.</p> <p><strong>Results</strong></p> <p>Parents were least accurate (35.9%) identifying child weight when selecting a picture (κ =-.028, p = .42). The pictorial and Likert method (κ = -.032, p = .37) showed parental agreement with child weight was not significantly better than chance. Statistically, a significant agreement was found in the weight-reporting method (κ = .21). Two of the three HBM-related measures were significantly related to accurate classification. Logistic regression showed child sex, PSEPAD scores, and ORK-10 scores were statistically significant predictors in the Likert method. The model had no statistical significance for the pictorial or weight-reporting method.</p> <p><strong>Conclusion</strong></p> <p>Results indicate parents support intervening if aware of child weight problems. However, parents do not accurately recognize healthy versus unhealthy weights and report that health providers are not informing them of weight deviations. Further, important relationships between the HBM variables were identified. Results show barriers (self-efficacy) mediate the impact of perceived severity (knowledge) regarding the parental ability to assess child weight accurately. These relationships and incorporation of the HBM principles of barriers and severity into prevention/intervention strategies need further exploration.</p>
Data from: Familiar size affects perception differently in virtual reality and the real world
<p>The promise of virtual reality as a tool for perceptual and cognitive research rests on the assumption that perception in virtual environments generalizes to the real world. Here, we conducted two experiments to compare size and distance perception between virtual reality and physical reality (Maltz et al., 2021). In Experiment 1, we used virtual reality (VR) to present dice and Rubik's cubes at their typical sizes or reversed sizes at distances that maintained a constant visual angle. After viewing the stimuli binocularly (to provide vergence and disparity information) or monocularly, participants manually estimated perceived size and distance. Unlike physical reality, where participants relied less on familiar size and more on presented size during binocular vs. monocular viewing, in VR participants relied heavily on familiar size regardless of the availability of binocular cues. In Experiment 2, we demonstrated that the effects in VR generalized to other stimuli and to a higher-quality VR headset. These results suggest that the utility of binocular cues and familiar size differs substantially between virtual and physical reality. A deeper understanding of perceptual differences is necessary before assuming that research outcomes from VR will generalize to the real world.</p>
Label-based expectations affect reward perception in bumblebees
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Data from: Familiar size affects perception differently in virtual reality and the real world
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Factors affecting perception of child weight
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Cystic fibrosis alters the structure of the olfactory epithelium and the expression of olfactory receptors affecting odor perception
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Expectations affect the perception of material properties
<p>Complete stimulus set: Expectations affect the perception of material properties</p>
Action-based predictions affect visual perception, neural processing, and pupil size, regardless of temporal predictability
<p>Data supporting the findings in:</p> <p>Lubinus, C., Einhäuser, W., Schiller, F., Kircher, T., Straube, B., & van Kemenade, B. M. (2022). Action-based predictions affect visual perception, neural processing, and pupil size, regardless of temporal predictability. <em><strong>NeuroImage</strong>. DOI: XXX</em></p> <p>Details are specified in the readme file.</p>
Differences in visual-field sensitivity in the inferior hemifield between the eyes affect three-dimensional shape perception in glaucoma
<p><strong>Raw data repository for the article:</strong></p> <p> </p> <p><strong>Differences in visual-field sensitivity in the inferior hemifield between the eyes affect three-dimensional shape perception in glaucoma</strong></p> <p> </p> <p><strong>Hiromasa Sawamura<sup>1</sup>, Ryo Asaoka<sup>1,2,3,4,5</sup>, Hiroshi Murata<sup>1</sup>, Eriko Ando<sup>1</sup>, Céline R. Gillebert<sup>6</sup>, James T. Todd<sup>7</sup>, Guy A. Orban<sup>8</sup></strong></p> <p> </p> <p><sup>1</sup> Department of Ophthalmology, University of Tokyo Graduate School of Medicine, Tokyo, Japan.</p> <p><sup>2</sup> Department of Ophthalmology, Seirei Hamamatsu General Hospital, Hamamatsu, Shizuoka, Japan.</p> <ol> <li>Seirei Christopher University, Hamamatsu, Shizuoka, Japan.</li> </ol> <p><sup>4</sup> Nanovision Research Division, Research Institute of Electronics, Shizuoka University, Shizuoka Japan.</p> <p><sup>5</sup> The Graduate School for the Creation of New Photonics Industries, Shizuoka Japan.</p> <ol> <li>Department of Brain and Cognition, KU Leuven, Leuven, Belgium.</li> <li>Department of Psychology, The Ohio State University, Columbus, OH, USA.</li> <li>Department of Medicine and Surgery, Neuroscience Unit, University of Parma, Parma, Italy.</li> </ol> <p> </p> <p>Excel data:</p> <p>Binocular Visual-filed sensitivity for 20 subjects: BinocularHFAData.xlsx</p> <p>Visual filed sensitivity in the right eye: OD_HFA_data.xlsx </p> <p>Visual filed sensitivity in the left eye: OS_HFA_data.xlsx</p> <p>Error-in-depth for 20 subjects: ErrorinDepth_20subj.xlsx</p> <p>Results of Simple feature discrimination: Result_SinpleFeatureDiscrimination.xlsx</p>
Ultrasound Evaluation and Vestibular Perception Thresholds Changes in Women Affected by Vestibulodynia (VBD) After One Cycle of Pixel CO2-Alma Fractionated Laser
ClinicalTrials.gov study NCT05156489. IPD Sharing: Not stated. Countries: 1. Publications: 8.
Supplementary materials for "Topic affects perception of degree of foreign accent in a non-dominant language", published in Linguistics 59.1
<p>The file Rcode.R contains the code; the files EnglishData.csv and RussianData.csv contain the data; see the publication for a description of the data: "Topic affects perception of degree of foreign accent in a non-dominant language", Linguistics 59.1 .</p>
Data from: The influence of a working memory task on affective perception of facial expressions
In a dual-task paradigm, participants performed a spatial location working memory task and a forced two-choice perceptual decision task (neutral vs. fearful) with gradually morphed emotional faces (neutral ~ fearful). Task-irrelevant word distractors (negative, neutral, and control) were experimentally manipulated during spatial working memory encoding. We hypothesized that, if affective perception is influenced by concurrent cognitive load using a working memory task, task-irrelevant emotional distractors would bias subsequent perceptual decision-making on ambiguous facial expression. We found that when either neutral or negative emotional words were presented as task-irrelevant working-memory distractors, participants more frequently reported fearful face perception - but only at the higher emotional intensity levels of morphed faces. Also, the affective perception bias due to negative emotional distractors correlated with a decrease in working memory performance. Taken together, our findings suggest that concurrent working memory load by task-irrelevant distractors has an impact on affective perception of facial expressions.
Factors and Perceptions Affecting Treatment Choices of Breast Cancer Patients
ClinicalTrials.gov study NCT02679638. IPD Sharing: NO. Countries: 0. Publications: 16.
Understanding Death: Cultural Factors Affecting Nursing Students' Perception
ClinicalTrials.gov study NCT06852404. IPD Sharing: UNDECIDED. Countries: 0. Publications: 5.
The Grounded Brain: How Sleeping Grounded Affects Memory and Perceptions
ClinicalTrials.gov study NCT05050812. IPD Sharing: NO. Countries: 0. Publications: 33.
Data from: Visible persistence of single-transient random dot patterns: spatial parameters affect the duration of fading percepts
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.