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ORCIDAndrew Hendrickson
Person information
- affiliation: Tilburg University, Department of Cognitive Science & Artificial Intelligence, The Netherlands
- affiliation (former): University of Adelaide, Australia
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2020 – today
- 2023
[j4]S. M. Ali Mousavi, Wendy Powell, Max M. Louwerse, Andrew T. Hendrickson:
Behavior and self-efficacy modulate learning in virtual reality simulations for training: a structural equation modeling approach. Frontiers Virtual Real. 4 (2023)- 2020
- [j3]Mariek Vanden Abeele
, Monika Abels, Andrew T. Hendrickson:
Are Parents Less Responsive to Young Children When They Are on Their Phones? A Systematic Naturalistic Observation Study. Cyberpsychology Behav. Soc. Netw. 23(6): 363-370 (2020) - [c12]Aditya Upadhyayula, Chris Martens, Rogelio Cardona-Rivera, Andrew Hendrickson, Neil Cohn:
Computational approaches to analyzing and generating comics. CogSci 2020
2010 – 2019
- 2019
- [j2]Mariek Vanden Abeele, Andrew T. Hendrickson, Monique M. H. Pollmann, Rich Ling:
Phubbing behavior in conversations and its relation to perceived conversation intimacy and distraction: An exploratory observation study. Comput. Hum. Behav. 100: 35-47 (2019) - [j1]Wai Keen Vong, Andrew T. Hendrickson, Danielle J. Navarro, Amy Perfors:
Do Additional Features Help or Hurt Category Learning? The Curse of Dimensionality in Human Learners. Cogn. Sci. 43(3) (2019) - [c11]Yung Han Khoe, Amy Perfors, Andrew Hendrickson:
Modeling individual performance in cross-situational word learning. CogSci 2019: 560-566 - 2018
- [c10]Keith Ransom, Andrew Hendrickson, Amy Perfors, Danielle J. Navarro:
Representational and sampling assumptions drive individual differences in single category generalisation. CogSci 2018 - [c9]Andrew T. Hendrickson, Jason Wang, Martin Atzmueller:
Identifying Exceptional Descriptions of People Using Topic Modeling and Subgroup Discovery. ISMIS 2018: 454-462 - 2017
- [c8]Steven Langsford, Andrew Hendrickson, Amy Perfors, Daniel J. Navarro:
When do learned transformations influence similarity and categorization? CogSci 2017 - 2016
- [c7]Wai Keen Vong, Andrew Hendrickson, Amy Perfors, Daniel J. Navarro:
Do additional features help or harm during category learning? An exploration of the curse of dimensionality in human learners. CogSci 2016 - 2015
- [c6]Andrew Hendrickson, Daniel J. Navarro, Christopher Donkin:
Quantifying the time course of similarity. CogSci 2015 - 2014
- [c5]Andrew Hendrickson, Amy Perfors, Daniel J. Navarro:
Adaptive information source selection during hypothesis testing. CogSci 2014 - [c4]Steven Langsford, Andrew Hendrickson, Amy Perfors, Daniel J. Navarro:
People are sensitive to hypothesis sparsity during category discrimination. CogSci 2014 - 2013
- [c3]Wai Keen Vong, Andrew Hendrickson, Amy Perfors, Daniel J. Navarro:
The role of sampling assumptions in generalization with multiple categories. CogSci 2013 - 2012
- [c2]Andrew Hendrickson, Paulo F. Carvalho, Robert L. Goldstone:
Going to Extremes: The influence of unsupervised categories on the mental caricaturization of faces and asymmetries in perceptual discrimination. CogSci 2012 - [c1]Andrew Hendrickson, George Kachergis, Caitlin Fausey, Robert L. Goldstone:
Re-learning labeled categories reveals structured representations. CogSci 2012
Coauthor Index
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