Author

Caitlyn McColeman

User Experience Researcher - Cited by 127 - Cognition - Data Visualization - Human Computer Interaction - Attention - Category Learning

Biography

Caitlyn McColeman is affiliated to  Cognitive Science laboratory, Department of Psychology, Simon Fraser University, Canada. she is a recipient of many awards and grants for her valuable contributions and discoveries in major area of subject research. Her international experience includes various programs, contributions and participation in different countries for diverse fields of study. Her research interests reflect in her wide range of publications in various national and international journals.   
Title
Cited by
Year
Using video game telemetry data to research motor chunking, action latencies, and complex cognitive‐motor skill learning
JJ Thompson, CM McColeman, ER Stepanova, MR BlairTopics in cognitive science 9 (2), 467-484, 2017201
32
2017
Learning-induced changes in attentional allocation during categorization: A sizable catalog of attention change as measured by eye movements
CM McColeman, JI Barnes, L Chen, KM Meier, RC Walshe, MR BlairPloS one 9 (1), e83302, 2014201
24
2014
Rethinking the ranks of visual channels
CM McColeman, F Yang, TF Brady, S FranconeriIEEE Transactions on Visualization and Computer Graphics 28 (1), 707-717, 2021202
16
2021
Classic motor chunking theory fails to account for behavioural diversity and speed in a complex naturalistic task
JJ Thompson, CM McColeman, MR Blair, AJ HenreyPloS one 14 (6), e0218251, 2019201
16
2019
Truth or square: Aspect ratio biases recall of position encodings
CR Ceja, CM McColeman, C Xiong, SL FranconeriIEEE Transactions on Visualization and Computer Graphics 27 (2), 54-62, 2020202
10
2020
The relationship between saccade velocity, fixation duration, and salience in category learning
CM McColeman, MR BlairVisual Cognition 21 (), 701-703, 2013201
6
2013
No mark is an island: Precision and category repulsion biases in data reproductions
CM McColeman, L Harrison, M Feng, S FranconeriIEEE Transactions on Visualization and Computer Graphics 27 (2), 1063-1072, 2020202
5
2020
A Tale of Two Processes: Categorization Accuracy and Attentional Learning Dissociate with Imperfect Feedback
CM McColeman, AJ Ancell, MR BlairProceedings of the 33th Annual Conference of the Cognitive Science Society …, 2011201
4
2011
Digit eyes: Learning-related changes in information access in a computer game parallel those of oculomotor attention in laboratory studies
C McColeman, J Thompson, N Anvari, SJ Azmand, J Barnes, RCA Barrett, ...Attention, Perception, & Psychophysics 82, 244-2447, 2020202
3
2020
Behavioral and electrophysiological responses to tobacco-related words in a Smoking Stroop task discriminate between relapse or abstinence following a one-month quit attempt
D Asmaro, M Liotti, C Lake, A Burnett, CMA McColemanJ. Alcohol Drug. Depend , 206, 2015201
3
2015
RLAttn: An actor-critic model of eye movements during category learning
JI Barnes, C McColeman, E Stepanova, MR Blair, RC WalsheProceedings of the Annual Meeting of the Cognitive Science Society 6 (6), 2014201
3
2014
Task relevance moderates saccade velocities to spatially separated cues
C McColeman, M BlairProceedings of the Annual Meeting of the Cognitive Science Society 36 (36), 01401
2
2014
During category learning, top-down and bottom up processes battle for control of the eyes.
C McColeman, MR BlairCogSci, 20520
1
2015
The Influence of Salient Distractors over the Course of a Category Learning Task
C McColeman, M BlairJournal of Vision 3 (9), 506-506, 20320
1
2013
The influence of salience and similarity on selective attention
CM McColemanSimon Fraser University, 20220
1
2012

Referred From: https://scholar.google.ca/citations?user=2A8115sAAAAJ&hl=en

Cited by
Citations 127
h-index 6
i10-index 5
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