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Taylor R. Hayes
Taylor R. Hayes
Project Scientist, Center for Mind and Brain, University of California, Davis
Verified email at ucdavis.edu - Homepage
Title
Cited by
Cited by
Year
Meaning-based guidance of attention in scenes as revealed by meaning maps
JM Henderson, TR Hayes
Nature human behaviour 1 (10), 743-747, 2017
2462017
Mapping and Correcting the Influence of Gaze Position on Pupil Size Measurements
TR Hayes, AA Petrov
Behavior Research Methods, 2015
2142015
A novel method for analyzing sequential eye movements reveals strategic influence on Raven's Advanced Progressive Matrices
TR Hayes, AA Petrov, PB Sederberg
Journal of Vision 11 (10), 10-10, 2011
1232011
Do we really become smarter when our fluid-intelligence test scores improve?
TR Hayes, AA Petrov, PB Sederberg
Intelligence 48, 1-14, 2015
1212015
Meaning guides attention in real-world scene images: Evidence from eye movements and meaning maps
JM Henderson, TR Hayes
Journal of vision 18 (6), 10-10, 2018
1162018
Meaning guides attention during scene viewing, even when it is irrelevant
CE Peacock, TR Hayes, JM Henderson
Attention, Perception, & Psychophysics 81, 20-34, 2019
732019
Meaning guides attention during real-world scene description
JM Henderson, TR Hayes, G Rehrig, F Ferreira
Scientific reports 8 (1), 13504, 2018
732018
Meaning and attentional guidance in scenes: A review of the meaning map approach
JM Henderson, TR Hayes, CE Peacock, G Rehrig
Vision 3 (2), 19, 2019
572019
Pupil diameter tracks the exploration–exploitation trade-off during analogical reasoning and explains individual differences in fluid intelligence
TR Hayes, AA Petrov
Journal of cognitive neuroscience 28 (2), 308-318, 2016
572016
Scene semantics involuntarily guide attention during visual search
TR Hayes, JM Henderson
Psychonomic Bulletin & Review 26, 1683-1689, 2019
502019
The role of meaning in attentional guidance during free viewing of real-world scenes
CE Peacock, TR Hayes, JM Henderson
Acta Psychologica 198, 102889, 2019
472019
Looking for semantic similarity: What a vector space model of semantics can tell us about attention in real-world scenes
TR Hayes, JM Henderson
Psychological Science 32 (8), 1262-1270, 2021
462021
Scan patterns during real-world scene viewing predict individual differences in cognitive capacity
TR Hayes, JM Henderson
Journal of Vision 17 (5), 23-23, 2017
462017
Eye movements in real-world scene photographs: General characteristics and effects of viewing task
DA Cronin, EH Hall, JE Goold, TR Hayes, JM Henderson
Frontiers in Psychology 10, 506751, 2020
362020
Center bias outperforms image salience but not semantics in accounting for attention during scene viewing
TR Hayes, JM Henderson
Attention, Perception, & Psychophysics 82, 985-994, 2020
322020
Where the action could be: Speakers look at graspable objects and meaningful scene regions when describing potential actions.
G Rehrig, CE Peacock, TR Hayes, JM Henderson, F Ferreira
Journal of Experimental Psychology: Learning, Memory, and Cognition 46 (9), 1659, 2020
282020
Scan patterns during scene viewing predict individual differences in clinical traits in a normative sample
TR Hayes, JM Henderson
PLoS One 13 (5), e0196654, 2018
252018
Deep saliency models learn low-, mid-, and high-level features to predict scene attention
TR Hayes, JM Henderson
Scientific Reports 11 (1), 18434, 2021
222021
Meaning-based guidance of attention in scenes as revealed by meaning maps. Nature Human Behaviour, 1 (10), 743-747
JM Henderson, TR Hayes
212017
Center bias does not account for the advantage of meaning over salience in attentional guidance during scene viewing
CE Peacock, TR Hayes, JM Henderson
Frontiers in Psychology 11, 557752, 2020
192020
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