Cognition and Perception Commons^™

Modeling Perceptual Grouping Strategies In Visual Search Tasks, Maria Kon, Gregory Francis

MODVIS Workshop

No abstract provided.

Not So Different As Cats And Dogs: Companionship During The Covid-19 Pandemic, Shelly Volsche, Elizabeth Johnson

People and Animals: The International Journal of Research and Practice

COVID- 19 lockdown provided a unique, in situ opportunity to probe caretaker experiences of living with companion animals during a stressful event. We launched an online survey in the United States that included standard demographic questions, questions related to household structures, and 25 Likert scale questions that probed perceptions of whether and how respondents’ relationships changed during social isolation. This paper uses a subset of that data specific to dog and cat guardians. A principal components analysis and Mann-Whitney U test returned no significant differences between cat and dog guardians on three scales (Scale 1: Psychological Well-being, Scale 2: …

Walking On Thin Ice: Exploring Demands And Means Of Coping During An Extreme Expedition, Tracey J. Devonport, Carla Meijen, Juliette Lloyd

Journal of Human Performance in Extreme Environments

The present exploratory study was undertaken with two experienced explorers in order to examine daily events, perceived demands, coping strategies, and mood during a unique 636–675 km ‘‘double solo’’ crossing of Lake Baikal, a frozen lake in Siberia. A 59-year-old female explorer and a 49-year-old male explorer completed a daily survey and written diary during the expedition to collect situational data. Two semi-structured interviews were also completed, one within 24 hours and a second within four months of their return. These interviews sought to identify demands and coping efforts perceived as being most pertinent during their expedition. Guided by the …

Interpersonal And Pet Attachment, Empathy Toward Animals, And Anthropomorphism: An Investigation Of Pet Owners In Romania, Alina Simona Rusu, Carmen Costea-Barlutiu, Dennis C. Turner

People and Animals: The International Journal of Research and Practice

The current study investigates the associations between interpersonal and pet attachment (anxiety and avoidance dimensions), empathy toward animals, and anthropomorphism in the Romanian cultural context, where problems regarding the effectiveness of pet management programs are still being reported. A sample of 244 adult respondents, with a mean age of 32.9 years, mostly females (89.8%) and pet owners, completed standard instruments of interpersonal and pet attachment, empathy toward animals and anthropomorphism. In agreement with other studies in the field of human-animal interactions, our data indicate that female pet owners scored higher than male owners in empathy toward animals and the level …

The Influence Of Tropical Climate On Cognitive Task Performance And Aiming Accuracy In Young International Fencers, Nicolas Robin, Aurelie Collado, Stephane Sinnapah, Elisabeth Rosnet, Olivier Hue, Guillaume R. Coudevylle

Journal of Human Performance in Extreme Environments

This study examined how a tropical climate (TC) influences the cognitive and aiming task performances of young international fencers. The participants performed the tasks in TC and an air-conditioned room. In each session, they completed questionnaires evaluating affective states, fatigue, and comfort and thermal sensations. They also carried out cognitive tasks (simple and choice reaction time, attention, and vigilance tasks) and a motor task testing aiming accuracy with a sword while wearing protective clothing and a mask. TC, which was observed to decrease thermal discomfort, was revealed to decrease aiming accuracy and positive affective states. There was no deleterious effect …

Is The Selective Tuning Model Of Visual Attention Still Relevant?, John K. Tsotsos

MODVIS Workshop

No abstract provided.

The Fluid Representations Of Networks Estimating Liquid Viscosity, Jan Jaap R. Van Assen, Shin'ya Nishida, Roland W. Fleming

MODVIS Workshop

No abstract provided.

Selecting Maximally-Predictive Deep Features To Explain What Drives Fixations In Free-Viewing, Matthias Kümmerer, Thomas S.A. Wallis, Matthias Bethge

MODVIS Workshop

No abstract provided.

Modelling Human Perception Of High Gloss Materials Using Neural Networks, Konrad E. Prokott, Hideki Tamura, Roland W. Fleming

MODVIS Workshop

No abstract provided.

Differentiating Changes In Population Encoding Models With Psychophysics And Neuroimaging, Jason Hays, Fabian Soto Phd

MODVIS Workshop

It is now common among visual scientists to make inferences about neural population coding of stimuli from indirect measures such as those provided by neuroimaging and psychophysics. The success of such studies depends strongly on simulation work using standard population encoding models extended with decoders (in psychophysics) and measurement models (in neuroimaging). However, not all studies are accompanied by simulation work, and those that are tend to vary widely in their assumptions about encoding, decoding, and measurement. To solve these issues, we designed a Python package (PEMGUIN) to assist computational modelling by providing simple ways to manage encoders' tuning functions, …

Recovering Depth From Stereo Without Using Any Oculomotor Information, Tadamasa Sawada

MODVIS Workshop

The human visual system uses binocular disparity to perceive depth within 3D scenes. It is commonly assumed that the visual system needs oculomotor information about the relative orientation of the two eyes to perceive depth on the basis of binocular disparity. The necessary oculomotor information can be obtained from an efference copy of the oculomotor signals, or from a 2D distribution of the vertical disparity, specifically, from the vertical component of binocular disparity. It is known that oculomotor information from the efference copy and from the vertical disparity distribution can affect the perception of depth based on binocular disparity. But, …

An Observer Model Version Of General Recognition Theory, Fabian Soto Phd

MODVIS Workshop

No abstract provided.

The Challenge For Vision Of Fluctuating Real-World Illumination, David H. Foster

MODVIS Workshop

No abstract provided.

Linking Signal Detection Theory And Encoding Models To Reveal Independent Neural Representations From Neuroimaging Data, Fabian A. Soto

MODVIS Workshop

No abstract provided.

Texture Statistics Are Sufficient For Ensemble Perception, Sasen S. Cain, Matthew S. Cain

MODVIS Workshop

No abstract provided.

The Channel Capacity Of Visual Awareness, Joe Lappin

MODVIS Workshop

No abstract provided.

A Contrast-Based Model Of Achromatic Transparency, Marianne Maertens, Minjung Kim, Guillermo Aguilar

MODVIS Workshop

No abstract provided.

Modeling Neural Computations In Lgn And Visual Cortex That Underlie Contextual Modulation Of Lightness And Darkness Magnitudes In Simple And Complex Images, Michael E. Rudd

MODVIS Workshop

No abstract provided.

Measuring Symmetry In Real-World Scenes Using Derivatives Of The Medial Axis Radius Function, Morteza Rezanejad, John D. Wilder, Kaleem Siddiqi, Sven Dickinson, Allan Jepson, Dirk B. Walther

MODVIS Workshop

Symmetry has been shown to be an important principle that guides the grouping of scene information. Previously, we have described a method for measuring the local, ribbon symmetry content of line-drawings of real-world scenes (Rezanejad, et al., MODVIS 2017), and we demonstrated that this information has important behavioral consequences (Wilder, et al., MODIVS 2017). Here, we describe a continuous, local version of the symmetry measure, that allows for both ribbon and taper symmetry to be captured. Our original method looked at the difference in the radius between successive maximal discs along a symmetric axis. The number of radii differences in …

Use Of Local Image Information In Depth Edge Classification By Humans And Neural Networks, Krista A. Ehinger, Wendy J. Adams, Erich W. Graf, James H. Elder

MODVIS Workshop

Humans can use local cues to distinguish image edges caused by a depth change from other types of edges (Vilankar et al., 2014). But which local cues? Here we use the SYNS database (Adams et al., 2016) to automatically label edges in images of natural scenes as depth or non-depth. We use this ground truth to identify the cues used by human observers and convolutional neural networks (CNNs) for edge classification. Eight observers viewed square image patches, each centered on an image edge, ranging in width from 0.6 to 2.4 degrees (8 to 32 pixels). Human judgments (depth/non-depth) were compared …

A Feature-Based Model Of Visually Perceiving Deformable Objects, Vivian C. Paulun, Filipp Schmidt, Roland W. Fleming

MODVIS Workshop

No abstract provided.

Global Estimation Of Signed 3d Surface Tilt From Natural Images, Seha Kim, Johannes Burge

MODVIS Workshop

The ability of human visual systems to estimate 3D surface orientation from 2D retinal images is critical. But the computation to calculate 3D orientation in real-world scenes is not fully understood. A Bayes optimal model grounded in natural statistics has explained 3D surface tilt estimation of human observers in natural scenes (Kim and Burge, 2018). However, the model is limited because it estimates only unsigned tilt (tilt modulo 180deg). We extend the model to predict signed tilt estimates and compared with human signed estimates. The model takes image pixels as input and produces optimal estimates of tilt as output, using …

Perspective Geometry Explains Perceived 3d Object Poses In Real Scenes And Pictures, Erin M. Koch, Famya Baig, Qasim Zaidi

MODVIS Workshop

No abstract provided.

Inferring The Neural Representation Of Faces From Adaptation Aftereffects, Kara J. Emery, Michael A. Webster Ph.D.

MODVIS Workshop

The aftereffects of adaptation to faces have been studied widely, in part to characterize the coding schemes for representing different facial attributes. Often these aftereffects have been interpreted in terms of two alternative models of face processing: 1) a norm-based or opponent code, in which the facial dimension is represented by relative activity in a pair of broadly-tuned mechanisms with opposing sensitivities; or 2) an exemplar code, in which the dimension is sampled by multiple channels narrowly-tuned to different levels of the stimulus. Evidence for or against these alternatives is based on the different patterns of aftereffects they predict (e.g. …

Effect Of Noise On Mutually Inhibiting Pyramidal Cells In Visual Cortex: Foundation Of Stochasticity In Bi-Stable Perception, Naoki Kogo, Felix Kern, Thomas Nowotny, Raymond Van Ee, Richard Van Wezel, Takeshi Aihara

MODVIS Workshop

Bi-stable perception has been an important tool to investigate how visual input is interpreted and how it reaches consciousness. To explain the mechanisms of this phenomenon, it has been assumed that a mutual inhibition circuit plays a key role. It is possible that this circuit functions to resolve ambiguity of input image by quickly shifting the balance of competing signals in response to conflicting features. Recently we established an in vitro neural recording system combined with computerized connections mediated by model neurons and synapses (“dynamic clamp” system). With this system, mutual inhibition circuit between two pyramidal cells from primary visual …

Divisive Inhibition As A Solution To The Correspondence Problem In Perceptual Grouping, Chien-Chung Chen, Yi-Shiuan Lin, Li Lin

MODVIS Workshop

No abstract provided.

Predicting The Fixation Density Over Time, Heiko H. Schütt, Lars O. M. Rothkegel, Hans A. Trukenbrod, Ralf Engbert, Felix A. Wichmann

MODVIS Workshop

No abstract provided.

Housing Diversity In Children’S Literature, Carla Earhart

Charleston Library Conference

Previous studies have examined diversity in children’s literature: Gender diversity, racial diversity, religious diversity, and diversity in family composition. This project examines an often overlooked diversity issue in children’s literature: Housing diversity. In the stories they read and the accompanying images, children need to see a variety of housing environments and need to see the settings and the people portrayed in a positive manner.

Renting an apartment is an increasingly popular housing option for many families. However, many children’s books glamorize living in a traditional house. Using a rubric designed by the course instructor, students in a university immersive learning …

Determining Visual Shape Features For Novel Object Classes, Yaniv Morgenstern, Filipp Schmidt, Roland W. Fleming

MODVIS Workshop

The visual representation of shape reduces a high-dimensional input into a smaller set of more informative features. These features can span a range of abstractions from shallow features based on statistical summaries of images, to deep features related to the generative causes of the shapes. Here we examined the depth of the visual system’s representation of shape by comparing human judgments of whether novel shapes appeared to belong to a common class with a range of models with different shape representations. Each shape class was based on a unique 2D base shape, formed by attaching parts of contours from different …

Shape Features Underlying The Perception Of Liquids, Jan Jaap R. Van Assen, Pascal Barla, Roland W. Fleming

MODVIS Workshop

No abstract provided.