Follow
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
2152017
Mapping and Correcting the Influence of Gaze Position on Pupil Size Measurements
TR Hayes, AA Petrov
Behavior Research Methods, 2015
1692015
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
1132011
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
1082018
Do we really become smarter when our fluid-intelligence test scores improve?
TR Hayes, AA Petrov, PB Sederberg
Intelligence 48, 1-14, 2015
1082015
Meaning guides attention during real-world scene description
JM Henderson, TR Hayes, G Rehrig, F Ferreira
Scientific reports 8 (1), 13504, 2018
642018
Meaning guides attention during scene viewing, even when it is irrelevant
CE Peacock, TR Hayes, JM Henderson
Attention, Perception, & Psychophysics 81, 20-34, 2019
612019
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
512016
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
472019
Scene semantics involuntarily guide attention during visual search
TR Hayes, JM Henderson
Psychonomic Bulletin & Review 26, 1683-1689, 2019
432019
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
402019
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
382017
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
352021
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
302020
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, 2915, 2020
252020
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
232020
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
222018
Meaning maps capture the density of local semantic features in scenes: A reply to Pedziwiatr, Kümmerer, Wallis, Bethge & Teufel (2021)
JM Henderson, TR Hayes, CE Peacock, G Rehrig
Cognition 214, 104742, 2021
152021
When scenes speak louder than words: Verbal encoding does not mediate the relationship between scene meaning and visual attention
G Rehrig, TR Hayes, JM Henderson, F Ferreira
Memory & Cognition 48, 1181-1195, 2020
152020
Meaning-based guidance of attention in scenes as revealed by meaning maps. Nature Human Behaviour, 1 (10), 743-747
JM Henderson, TR Hayes
152017
The system can't perform the operation now. Try again later.
Articles 1–20