Arryn Robbins
Arryn Robbins
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Cited by
Cited by
Psychological responses to natural patterns in architecture
A Coburn, O Kardan, H Kotabe, J Steinberg, MC Hout, A Robbins, ...
Journal of Environmental Psychology 62, 133-145, 2019
Using multidimensional scaling to quantify similarity in visual search and beyond
MC Hout, HJ Godwin, G Fitzsimmons, A Robbins, T Menneer, ...
Attention, Perception, & Psychophysics 78, 3-20, 2016
Categorical templates are more useful when features are consistent: Evidence from eye movements during search for societally important vehicles
MC Hout, A Robbins, HJ Godwin, G Fitzsimmons, C Scarince
Attention, Perception, & Psychophysics 79, 1578-1592, 2017
Examination of the Traffic Safety Environment During the Second Quarter of 2020
E Wagner, R Atkins, A Berning, A Robbins, C Watson, J Anderle
National Highway Traffic Safety Administration, 2020
Categorical target templates: Typical category members are found and identified quickly during word-cued search
A Robbins, MC Hout
Visual Cognition 23 (7), 817-821, 2015
Simulating the fidelity of data for large stimulus set sizes and variable dimension estimation in multidimensional scaling
MC Hout, CA Cunningham, A Robbins, J MacDonald
SAGE Open 8 (2), 2158244018773143, 2018
Eye movements reflect expertise development in hybrid search
MH Papesh, MC Hout, JD Guevara Pinto, A Robbins, A Lopez
Cognitive Research: Principles and Implications 6 (1), 1-20, 2021
Typicality guides attention during categorical search, but not universally so
A Robbins, MC Hout
Quarterly Journal of Experimental Psychology 73 (11), 1977-1999, 2020
Scene priming provides clues about target appearance that improve attentional guidance during categorical search.
A Robbins, MC Hout
Journal of Experimental Psychology: Human Perception and Performance 46 (2), 220, 2020
How scientists use statistics, samples, and probability to answer research questions
J Sendef, A Robbins
Front. Young Minds 7, 118, 2019
You’re looking for what? Comparing search for familiar, nameable objects to search for unfamiliar, novel objects
J Madrid, CA Cunningham, A Robbins, MC Hout
Visual Cognition 27 (1), 8-20, 2019
Exploring the nature of mental representations in hybrid visual and memory search
J Madrid, C Cunningham, A Robbins, H Godwin, J Wolfe, M Hout
Journal of Vision 16 (12), 341-341, 2016
Don’t label me!: Search for familiar, nameable objects vs. search for unfamiliar, novel objects
J Madrid, CA Cunningham, A Robbins, MC Hout
Poster presented at the 23rd annual Object Perception, Attention and Memory …, 2015
Look into my eyes
Scientific American Mind 26 (1), 54-61, 2015
Find one fast, or find them all slow: Do collaborative visual searchers search more quickly or more thoroughly?
A Lopez, G Bennett, A Robbins, H Godwin, M Hout
Journal of Vision 16 (12), 1001-1001, 2016
Object categorization performance modeled using multidimensional scaling and category-consistent features
M Hout, J Maxfield, A Robbins, G Zelinsky
Journal of Vision 16 (12), 250-250, 2016
Drop the beat & miss T2: How various dimensions of music influence attentional failures
J Madrid, A Robbins, M Hout
Journal of Vision 15 (12), 438-438, 2015
US Department of Transportation NHTSA
E Wagner, R Atkins, A Berning, A Robbins, CE Watson
Washington, DC: National Highway Traffic Safety Administration, 2020
Using Multidimensional Scaling to Quantify Category Heterogeneity Effects in Visual Search
AS Robbins, K Scherer, E Sabic, J MacDonald, A Ercolino, J Schmidt, ...
Journal of Vision 19 (10), 318b-318b, 2019
Using Your Brain (Not Just Your Eyes) to Find Lost Objects
A Robbins, M Hout
Front. Young Minds 7, 89, 2019
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