Jaehyon Paik
Title
Cited by
Cited by
Year
A functional model of sensemaking in a neurocognitive architecture
C Lebiere, P Pirolli, R Thomson, J Paik, M Rutledge-Taylor, J Staszewski, ...
Computational intelligence and neuroscience 2013, 2013
752013
Predicting User Performance and Learning in Human--Computer Interaction with the Herbal Compiler
J Paik, JW Kim, FE Ritter, D Reitter
ACM Transactions on Computer-Human Interaction (TOCHI) 22 (5), 1-26, 2015
202015
Evaluating a range of learning schedules: hybrid training schedules may be as good as or better than distributed practice for some tasks
J Paik, FE Ritter
Ergonomics 59 (2), 276-290, 2016
112016
ACT-R models of information foraging in geospatial intelligence tasks
J Paik, P Pirolli
Computational and Mathematical Organization Theory 21 (3), 274-295, 2015
72015
Cognitive biases in a geospatial Intelligence Analysis Task: An ACT-R model
J Paik, P Pirolli, C Lebiere, M Rutledge-Taylor
Proceedings of the annual meeting of the Cognitive Science Society 34 (34), 2012
72012
A novel training paradigm for knowledge and skills acquisition: Hybrid schedules lead to better learning for some but not all tasks
J Paik
72011
Building large learning models with Herbal
J Paik, JW Kim, FE Ritter, JH Morgan, SR Haynes, MA Cohen
Proceedings of ICCM-2010-Tenth International Conference on Cognitive…, 2010
72010
Modeling surgical skill learning with cognitive simulation
SH PARK1a, IH Suh, J Chien, J Paik, FE Ritter, D Oleynikov, KC Siu
Medicine Meets Virtual Reality 18: NextMed 163, 428, 2011
62011
Reinforcement learning and counterfactual reasoning explain adaptive behavior in a changing environment
Y Zhang, J Paik, P Pirolli
Topics in cognitive science 7 (2), 368-381, 2015
42015
A preliminary ACT-R compiler in Herbal
J Paik, JW Kim, FE Ritter
Proceedings of ICCM-2009-Ninth International Conference on Cognitive…, 2009
42009
Validating a High Level Behavioral Representation Language (HERBAL): A Docking Study for ACT-R.
C Zhao, J Paik, JH Morgan, FE Ritter
BICA, 181-188, 2010
32010
Reinforcement learning and instance-based learning approaches to modeling human decision making in a prognostic foraging task
SE Chelian, J Paik, P Pirolli, C Lebiere, R Bhattacharyya
2015 Joint IEEE International Conference on Development and Learning and…, 2015
22015
An ACT-R Model of Sensemaking in Geospatial Intelligence Tasks
J Paik, P Pirolli, W Dong, C Lebiere, R Thomson
22013
Counterfactual reasoning as a key for explaining adaptive behavior in a changing environment
J Paik, Y Zhang, P Pirolli
Biologically Inspired Cognitive Architectures 10, 24-29, 2014
12014
Evaluating a range of learning schedules: hybrid training schedules may be as good as or better than distributed practice for some tasks (vol 59, pg 276, 2016)
J Paik, FE Ritter
ERGONOMICS 59 (7), 997-997, 2016
2016
Application of a Fool-proof Method to Decision Making
S Jung, J Paik, S Lee
대한인간공학회 학술대회논문집, 25-25, 2016
2016
Exploring a Novel Training Paradigm for Knowledge and Skills Acquisition
J Paik
10th International Conference on Cognitive Modeling, 319, 2010
2010
161 QuantiGene 2.0 assay for measurement of ER and PR in breast cancer
BJ Chae, JM Paik, YJ Seo, WC Park, BJ Song, JS Kim, SJ Oh, SS Jung, ...
EJC Supplements 3 (8), 105, 2010
2010
Control Algorithm for Technician Dispatch in Random Demand
JW Yoo, J Paik, V Prabhu
IIE Annual Conference. Proceedings, 1232, 2008
2008
논문발표 SESSIONS
S Jung, J Paik, S Lee, JY Kim, JC Lee, DJ Kim, YJ Lee, YS Kim, SB Park, ...
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Articles 1–20