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Taatgen, prof. dr. Niels

Niels Taatgen
Niels Taatgen

Niels Taatgen studeerde informatica en psychologie aan de Rijksuniversiteit Groningen en promoveerde in 1999 op het proefschrift ‘Learning without limits’. Hierna was hij als universitair docent verbonden aan de afdeling Cognitiewetenschappen, later Kunstmatige Intelligentie, van de RUG. Na een periode waarin hij deels aan de Carnegie Mellon universiteit in Pittsburgh (VS) en de RUG werkte, is hij sinds 2009 hoogleraar Cognitive Modelling aan de RUG. Taatgen onderzoekt via computersimulaties het menselijk gedrag om te begrijpen hoe we ons in bepaalde situaties gedragen, bijvoorbeeld bij multitasken.

In 2011 ontving hij een Europese ERC-grant, van 1,5 miljoen euro. Taatgen kreeg dit voor onderzoek naar multitasking. Uitgangspunt was dat mensen in principe goed in staat zijn om te multitasken, maar dat dit soms spaak loopt omdat meerdere taken tegelijk hetzelfde hersengebied nodig hebben. Het onderzoek richtte zich met name op de vraag waarom mensen zo graag meerdere dingen tegelijk willen doen, en onder welke omstandigheden dit wel of juist niet veilig en productief is.

In 2016 werd Taatgen gekozen tot Docent van het Jaar van de RUG. Hij doceert over onderwerpen waarbij hij zelf actief betrokken is, wat te merken is aan zijn kennis van zaken en zijn enthousiasme.

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Publicaties

2023

Paul, K. I., Mueller, K., Rousseau, P.-N., Glathe, A., Taatgen, N. A., Cnossen, F., Lanzer, P., Villringer, A., & Steele, C. J. (2023). Visuo-motor transformations in the intraparietal sulcus mediate the acquisition of endovascular medical skill. Neuroimage, 266, Article 119781. https://doi.org/10.1016/j.neuroimage.2022.119781

2022

Toth, A. G., Hendriks, P., Taatgen, N., & van Rij, J. (2022). A cognitive modeling approach to learning and using reference biases in language. Frontiers in Artificial Intelligence, 5, Article 933504. https://doi.org/10.3389/frai.2022.933504
Hoekstra, C., Martens, S., & Taatgen, N. A. (2022). Testing the skill-based approach: Consolidation strategy impacts attentional blink performance. PLoS ONE, 17(1), Article e0262350. https://doi.org/10.1371/journal.pone.0262350

2021

Toth, A. G., Taatgen, N., Hendriks, P., & van Rij, J. (2021). Learning reference biases from language input: A cognitive modelling approach. In T. C. Stewart (Ed.), Proceedings of the 19th International Conference on Cognitive Modelling (ICCM 2021) (pp. 282-288). Article 590 Applied Cognitive Science Lab, Penn State.
Paul, K. I., Glathe, A., Taatgen, N. A., Steele, C. J., Villringer, A., Lanzer, P., & Cnossen, F. (2021). Mental rotation ability predicts the acquisition of basic endovascular skills. Scientific Reports, 11, Article 22453. https://doi.org/10.1038/s41598-021-00587-x
Herlambang, M. B., Taatgen, N. A., & Cnossen, F. (2021). Modeling motivation using goal competition in mental fatigue studies. Journal of Mathematical Psychology, 102, Article 102540. https://doi.org/10.1016/j.jmp.2021.102540
Herlambang, M. B., Cnossen, F., & Taatgen, N. A. (2021). The effects of intrinsic motivation on mental fatigue. PLoS ONE, 16(1), Article e0243754. https://doi.org/10.1371/journal.pone.0243754
Taatgen, N. A., van Vugt, M. K., Daamen, J., Katidioti, I., Huijser, S., & Borst, J. P. (2021). The resource-availability model of distraction and mind-wandering. Cognitive Systems Research, 68, 84-104. https://doi.org/10.1016/j.cogsys.2021.03.001

2020

van der Mijn, R., Damsma, A., Taatgen, N., & van Rijn, H. (2021). Individual optimization of risky decisions in duration and distance estimations. Attention, Perception, & Psychophysics, 83, 1897–1906. https://doi.org/10.3758/s13414-020-02225-6
Tiotto, T., Goossens, A., Borst, J., Banerjee, T., & Taatgen, N. (2021). Learning to Approximate Functions Using Nb-doped SrTiO3 Memristors. Frontiers in Neuroscience, 14. https://doi.org/10.3389/fnins.2020.627276
Hoekstra, C., Martens, S., & Taatgen, N. A. (2020). A Skill-Based Approach to Modeling the Attentional Blink. Topics in Cognitive Science, 12(3), 1030-1045. https://doi.org/10.1111/tops.12514
Taatgen, N. (2020). A spiking neural architecture that learns tasks. In T. C. Stewart (Ed.), Proceedings of ICCM 2019 - 17th International Conference on Cognitive Modeling (pp. 253-258). (Proceedings of ICCM 2019 - 17th International Conference on Cognitive Modeling). Applied Cognitive Science Lab, Penn State.
Huijser, S., Verkaik, M., van Vugt, M. K., & Taatgen, N. A. (2020). Captivated by thought: "Sticky" thinking leaves traces of perceptual decoupling in task-evoked pupil size. PLoS ONE, 15(12), Article e0243532. https://doi.org/10.1371/journal.pone.0243532
Ji, Y., van Rij, J., & Taatgen, N. (2020). Cognitive Flexibility in Cognitive Architecture: Simulating using Contextual Learning in PRIMs. In T. C. Stewart (Ed.), Poster session presented at 18th International Conference on Cognitive Modeling (pp. 107-114). Wiley.
Huijser, S., Taatgen, N. A., & van Vugt, M. K. (2020). The art of planning ahead: When do we prepare for the future and when is it effective? Journal of experimental psychology. Learning, memory, and cognition. https://doi.org/10.1037/xlm0000970

2019

Damsma, A., Taatgen, N., de Jong, R., & van Rijn, H. (2020). No evidence for an attentional bias towards implicit temporal regularities. Attention, Perception & Psychophysics, 82(3), 1136-1149. https://doi.org/10.3758/s13414-019-01851-z
Ji, Y., van Rij, J., & Taatgen, N. (2019). Discoveries of the Algebraic Mind: A PRIMs Model. In Proceedings of 17th International conference on cognitive modeling Waterloo, Canada: University of Waterloo.
Wray, R., Taatgen, N., Lebiere, C., Pastra, K., Pirolli, P., Rosenbloom, P., Scheutz, M., Stewart, T., & Wiles, J. (2019). Functional knowledge requirements for interactive task learning. In K. Gluck, & J. Laird (Eds.), Interactive task learning: Humans, Robots, and Agents Acquiring New Tasks through Natural Interactions (pp. 19-51). ( Strüngmann Forum Reports; Vol. 26). The MIT Press. https://mitpress.mit.edu/books/interactive-task-learning
van Vugt, M. K., Beulen, M. A., & Taatgen, N. A. (2019). Relation between centro-parietal positivity and diffusion model parameters in both perceptual and memory-based decision making. Brain Research, 1715, 1-12. https://doi.org/10.1016/j.brainres.2019.03.008
Taatgen, N. (2019). The representation of task knowledge at multiple levels of abstraction. In K. Gluck, & J. Laird (Eds.), Interactive task learning: Humans, Robots, and Agents Acquiring New Tasks through Natural Interactions (pp. 75-87). (Strüngmann Forum Reports; Vol. 26). The MIT Press. https://mitpress.mit.edu/books/interactive-task-learning
Herlambang, M., Taatgen, N., & Cnossen, F. (2019). The Role of Motivation as a Factor in Mental Fatigue. Human Factors, 61(7), 1171-1185. https://doi.org/10.1177/0018720819828569

2018

Arslan, B., Verbrugge, R., Taatgen, N., & Hollebrandse, B. (2020). Accelerating the Development of Second-Order False Belief Reasoning: A Training Study With Different Feedback Methods. Child Development, 91(1), 249-270. https://doi.org/10.1111/cdev.13186
Lieto, A., Kennedy, W. G., Lebiere, C., Romero, O. J., Taatgen, N., & West, R. L. (2018). Higher-level Knowledge, Rational and Social Levels Constraints of the Common Model of the Mind. In A. V. Samsonovich, & C. J. Lebiere (Eds.), Postproceedings of the 9th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2018 (Ninth Annual Meeting of the BICA Society), held August 22-24, 2018 in Prague, Czech Republic (Vol. 145, pp. 757-764). (Procedia Computer Science). Elsevier. https://doi.org/10.1016/j.procs.2018.11.033
van der Velde, M., van Vugt, M., & Taatgen, N. (2018). Modelling the Effect of Depression on Working Memory. In I. Juvina, J. Houpt, & C. Myers (Eds.), Proceedings of the 16th International Conference on Cognitive Modeling (pp. 200). University of Wisconsin.
Shaposhnik, H., Taatgen, N., & Borst, J. (2018). Predicting the optimal time for interruption using pupillary data and classification. In Proceedings of the Annual Conference of the Cognitive Science Society (pp. 2479-2484). Cognitive Science Society.
Verbrugge, R., Meijering, B., Wierda, S., Van Rijn, H., & Taatgen, N. (2018). Stepwise training supports strategic second-order theory of mind in turn-taking games. Judgment and decision making, 13(1), 79-98.
Wan, J., & Taatgen, N. (2018). The Influence of Music and Music Familiarity on Time Perception. In Proceedings of the Annual Conference of the Cognitive Science Society (pp. 2657-2662). Cognitive Science Society.
Stevens, C. A., Daamen, J., Gaudrain, E., Renkema, T., Top, J. D., Cnossen, F., & Taatgen, N. A. (2018). Using Cognitive Agents to Train Negotiation Skills. Frontiers in Psychology, 9, Article 154. https://doi.org/10.3389/fpsyg.2018.00154

2017

Huijser, S., van Vugt, M. K., & Taatgen, N. A. (2018). The wandering self: Tracking distracting self-generated thought in a cognitively demanding context. Consciousness and Cognition, 58, 170-185. https://doi.org/10.1016/j.concog.2017.12.004
Paul, K., Cnossen, F., Taatgen, N., Lanzer, P., Sehm, B., & Villringer, A. (2017). Brain Plasticity Related to Psycho-motor Skills in Catheter-based Interventions. Poster session presented at 7th IMPRS NeuroCom Summer School, Londen, United Kingdom.
Taatgen, N. (2017). Cognitive Architectures: Innate or Learned?. 476-480.
Arslan, B., Verbrugge, R., & Taatgen, N. (2017). Cognitive control explains the mutual transfer between dimensional change card sorting and first-order false belief understanding: A computational modeling study on transfer of skills. Biologically Inspired Cognitive Architectures, 20, 10-20. https://doi.org/10.1016/j.bica.2017.03.001
Huijser, S., Taatgen, N., & van Vugt, M. (2017). Distracted in a Demanding Task: A Classification Study with Artificial Neural Networks. In B. Verheij, & M. Wiering (Eds.), Proceedings of BNAIC 2017 (pp. 199-212). University of Groningen. http://bnaic2017.ai.rug.nl/program.html
Arslan, B., Taatgen, N. A., & Verbrugge, R. (2017). Five-Year-Olds' Systematic Errors in Second-Order False Belief Tasks Are Due to First-Order Theory of Mind Strategy Selection: A Computational Modeling Study. Frontiers in Psychology, 8, Article 275. https://doi.org/10.3389/fpsyg.2017.00275
Damsma, A., de Jong, R., Taatgen, N., & van Rijn, D. (2017). No Evidence For Improved Attention Towards Implicit Temporal Regularities. Poster session presented at 1st Conference of The Timing Research Forum, Strasbourg, France.
Damsma, A., de Jong, R., Taatgen, N., & van Rijn, D. (2017). No Evidence For Improved Attention Towards Implicit Temporal Regularities. Poster session presented at Winter Conference Nederlandse Vereniging voor Psychonomie 2017, Egmond aan Zee, Netherlands.

2016

Liang, P., Jia, X., Taatgen, N. A., Borst, J. P., & Li, K. (2016). Activity in the fronto-parietal network indicates numerical inductive reasoning beyond calculation: An fMRI study combined with a cognitive model. Scientific Reports, 6, Article 25976. https://doi.org/10.1038/srep25976
van Rijn, H., & Taatgen, N. A. (2016). An integrative account of psychological time. In S. E. F. Chipman (Ed.), The Oxford Handbook of Cognitive Science (pp. 151-168). Oxford University Press. https://doi.org/10.1093/oxfordhb/9780199842193.013.18
Paul, K., Cnossen, F., Taatgen, N., Lanzer, P., & Villringer, A. (2016). Brain Plasticity Related to Psychomotor Skills in Catheter-based Interventions. 1-1. Poster session presented at Donders Discussion, Nijmegen, Netherlands.
Taatgen, N. A., van Vugt, M. K., Borst, J. P., & Mehlhorn, K. (2016). Cognitive Modeling at ICCM: State of the Art and Future Directions. Topics in Cognitive Science, 8(1), 259-263. https://doi.org/10.1111/tops.12185
Nijboer, M., Borst, J., van Rijn, H., & Taatgen, N. (2016). Contrasting single and multi-component working-memory systems in dual tasking. Cognitive psychology, 86, 1-26. https://doi.org/10.1016/j.cogpsych.2016.01.003
Buwalda, T., Borst, J., van Vugt, M., & Taatgen, N. (2016). Don't Blink! Evaluating Training Paradigms for Overcoming the Attentional Blink. In A. Papafragou, D. Grodner, D. Mirman, & J. C. Trueswell (Eds.), Proceedings of the 38th Annual Meeting of the Cognitive Science Society, CogSci 2016 (pp. 2189-2194). Article Code 182806 (Proceedings of the 38th Annual Meeting of the Cognitive Science Society, CogSci 2016). The Cognitive Science Society.
Nijboer, M., Borst, J. P., van Rijn, D., & Taatgen, N. A. (2016). Driving and Multitasking: The Good, the Bad, and the Dangerous. Frontiers in Psychology, 7, Article 1718. https://doi.org/10.3389/fpsyg.2016.01718
Buwalda, T., Borst, J., van der Maas, H., & Taatgen, N. (2016). Explaining mistakes in single digit multiplication: A cognitive model. In D. Reitter, & F. E. Ritter (Eds.), Proceedings of ICCM 2016 - 14th International Conference on Cognitive Modeling (pp. 131-136). (Proceedings of ICCM 2016 - 14th International Conference on Cognitive Modeling). The Pennsylvania State University.
Huijser, S., Taatgen, N., & van Vugt, M. (2016). Following the wandering mind in the eyes: Tracking distraction by the self in a complex working memory task. In D. Reitter, & F. E. Ritter (Eds.), Proceedings of ICCM 2016 - 14th International Conference on Cognitive Modeling (pp. 258-260). (Proceedings of ICCM 2016 - 14th International Conference on Cognitive Modeling). The Pennsylvania State University.
Stevens, C. A., Taatgen, N. A., & Cnossen, F. (2016). Instance-Based Models of Metacognition in the Prisoner's Dilemma. Topics in Cognitive Science, 8(1), 322-334. https://doi.org/10.1111/tops.12181
Katidioti, I., Borst, J. P., Bierens de Haan, D. J., Pepping, T., van Vugt, M. K., & Taatgen, N. A. (2016). Interrupted by Your Pupil: An Interruption Management System Based on Pupil Dilation. International Journal of Human-Computer Interaction, 32(10), 791-801. https://doi.org/10.1080/10447318.2016.1198525
Katidioti, I., Borst, J. P., Van Vugt, M. K., & Taatgen, N. A. (2016). Interrupt me: External interruptions are less disruptive than self-interruptions. Computers in Human Behavior, 63, 906-915. https://doi.org/10.1016/j.chb.2016.06.037
van Vugt, M. K., Beulen, M. A., & Taatgen, N. A. (2016). Is There Neural Evidence for an Evidence Accumulation Process in Memory Decisions? Frontiers in Human Neuroscience, 10, Article 93. https://doi.org/10.3389/fnhum.2016.00093
Daamen, J., van Vugt, M., & Taatgen, N. (2016). Measuring and modeling distraction by self-referential processing in a complex working memory span task. In A. Papafragou, D. Grodner, D. Mirman, & J. C. Trueswell (Eds.), Proceedings of the 38th Annual Meeting of the Cognitive Science Society, CogSci 2016 (pp. 2147-2152). Article Code 182806 (Proceedings of the 38th Annual Meeting of the Cognitive Science Society, CogSci 2016). The Cognitive Science Society.
Stevens, C., de Weerd, H., Cnossen, F., & Taatgen, N. (2016). Metacognitive Agent for Training Negotiation Skills. In D. Reitter, & F. Ritter (Eds.), Proceedings of ICCM 2016 (pp. 27). Penn State University Press.
Petukhova, V., Stevens, C., de Weerd, H., Taatgen, N., Cnossen, F., & Malchanau, A. (2016). Modelling multi-issue bargaining dialogues: Data collection, annotation design and corpus. In N. Calzolari, K. Choukri, T. Declerck, S. Goggi, M. Grobelnik, B. Maegaard, J. Mariani, H. Mazo, A. Moreno, J. Odijk, & S. Piperidis (Eds.), Proceedings of the Tenth International Conference on Language Resources and Evaluation (pp. 3133). European Language Resources Association (ELRA).
van Helvert, J., Petukhova, V., Stevens, C., de Weerd, H., Börner, D., van Rosmalen, P., Alexandersson, J., & Taatgen, N. (2016). Observing, coaching and reflecting: Metalogue - A multi-modal tutoring system with metacognitive abilities. EAI Endorsed Transactions on Future Intelligent Educational Environments, 2016(6), Article e6. https://doi.org/10.4108/eai.27-6-2016.151525
Rijn, van, H., Borst, J., Taatgen, N., & van Maanen, L. (2016). On the necessity of integrating multiple levels of abstraction in a single computational framework. Current Opinion in Behavioral Sciences, 11, 116-120. https://doi.org/10.1016/j.cobeha.2016.07.007
Taatgen, N. A. (2016). Theoretical models of training and transfer effects. In Cognitive Training: An Overview of Features and Applications (pp. 19-29). Springer International Publishing. https://doi.org/10.1007/978-3-319-42662-4_3
Taatgen, N. A., & de Weerd, H. (2016). Using a cognitive architecture in educational and recreational games: How to incorporate a model in your App. In D. Reitter, & F. Ritter (Eds.), Proceedings of the 14h International Conference on Cognitive Modeling (ICCM 2016) (pp. 119-124). Penn State University Press.

2015

Taatgen, N., Katidioti, I., Borst, J., & van Vugt, M. (2015). A Model of Distraction using new Architectural Mechanisms to Manage Multiple Goals. In N. Taatgen, M. van Vugt, J. Borst, & K. Mehlhorn (Eds.), Proceedings of the 13th International Conference on Cognitive Modeling (pp. 264-269). University of Groningen. http://www.iccm2015.org/proceedings
Nyamsuren, E., van der Maas, H., & Taatgen, N. (2015). How does prevalence shape errors in complex tasks? In Proceedings of the International Conference on Cognitive Modeling (ICCM) 2015 (pp. 160-165)
Stevens, C., Taatgen, N., & Cnossen, F. (2015). Metacognition in the Prisoner's Dilemma. In proceedings of the 13th Annual International Conference on Cognitive Modeling (pp. 112)
van Vugt, M., Taatgen, N., Sackur, J., & Bastian, M. (2015). Modeling mind-wandering: a tool to better understand distraction. In N. Taatgen, M. van Vugt, J. Borst, & K. Mehlhorn (Eds.), Proceedings of the 13th International Conference on Cognitive Modeling. (pp. 252). University of Groningen. http://www.iccm2015.org/proceedings
Buwalda, T., Borst, J., Van Vugt, M., & Taatgen, N. (2015). Reducing the attentional blink by training: Testing model predictions using EEG. In N. A. Taatgen, M. K. van Vugt, J. P. Borst, & K. Mehlhorn (Eds.), Proceedings of ICCM 2015 - 13th International Conference on Cognitive Modeling (pp. 84-85). (Proceedings of ICCM 2015 - 13th International Conference on Cognitive Modeling). University of Groningen.
Arslan, B., Verbrugge, R., Taatgen, N., & Hollebrandse, B. (2015). Teaching children to attribute second-order false beliefs: A training study with feedback. In Proceedings of the 37th Annual Meeting of the Cognitive Science Society (pp. 108-113)
Nijboer, M., Borst, J. P., Van Rijn, H., & Taatgen, N. A. (2015). The influence of cognitive strategies on performance in working memory tasks. In N. A. Taatgen, M. K. van Vugt, J. P. Borst, & K. Mehlhorn (Eds.), Proceedings of ICCM 2015 - 13th International Conference on Cognitive Modeling (pp. 200-201). (Proceedings of ICCM 2015 - 13th International Conference on Cognitive Modeling). University of Groningen.
Arslan, B., Wierda, S., Taatgen, N., & Verbrugge, R. (2015). The role of simple and complex working memory strategies in the development of first-order false belief reasoning: A computational model of transfer of skills. In Proceedings of the 13th International Conference on Cognitive Modeling
Borst, J. P., Nijboer, M., Taatgen, N. A., van Rijn, H., & Anderson, J. R. (2015). Using data-driven model-brain mappings to constrain formal models of cognition. PLoS ONE, 10(3), Article e0119673. https://doi.org/10.1371/journal.pone.0119673
Borst, J., Taatgen, N., & van Rijn, H. (2015). What Makes Interruptions Disruptive? A Process-Model Account of the Effects of the Problem State Bottleneck on Task Interruption and Resumption. In CHI '15 Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (pp. 2971-2980). ACM Press. https://doi.org/10.1145/2702123.2702156

2014

Willems, C., Damsma, A., Wierda, S., Taatgen, N., & Martens, S. (2015). Training-induced Changes in the Dynamics of Attention as Reflected in Pupil Dilation. Journal of Cognitive Neuroscience, 27(6), 1161-1171. https://doi.org/10.1162/jocn_a_00767
Taatgen, N. (2014). Between architecture and model: Strategies for cognitive control. Biologically Inspired Cognitive Architectures, 8, 132-139. https://doi.org/10.1016/j.bica.2014.03.010
Liang, P., Jia, X., Taatgen, N. A., Zhong, N., & Li, K. (2014). Different strategies in solving series completion inductive reasoning problems: An fMRI and computational study. International Journal of Psychophysiology, 93(2), 253-260. https://doi.org/10.1016/j.ijpsycho.2014.05.006
Nyamsuren, E., & Taatgen, N. (2014). Human Reasoning Module. Biologically Inspired Cognitive Architectures, 8, 1-18. https://doi.org/10.1016/j.bica.2014.02.002
Alexandersson, J., Aretoulaki, M., Campbell, N., Gardner, M., Girenko, A., Klakow, D., Koryzis, D., Petukhova, V., Specht, M., Spiliotopoulos, D., Stricker, A., & Taatgen, N. (2014). Metalogue: A Multiperspective Multimodal Dialogue System with Metacognitive Abilities for Highly Adaptive and Flexible Dialogue Management. In 2014 International Conference on Intelligent Environments (IE) (pp. 365). IEEE (The Institute of Electrical and Electronics Engineers).
Meijering, B., Taatgen, N., van Rijn, H., & Verbrugge, R. (2014). Modeling inference of mental states: As simple as possbile, as complex as necessary. Interaction Studies, 15(3), 455. https://doi.org/10.1075/is.15.3.05mei
Tanaka, T., Taatgen, N., Aoki, K., & Fujita, K. (2014). Resumption lag at interruptible timing might not be short in actual environment. In CHI'14 Extended abstracts on Human Factors in Computing Systems (pp. 1801). ACM Press.
Nijboer, M., Borst, J., van Rijn, H., & Taatgen, N. (2014). Single-task fMRI overlap predicts concurrent multitasking interference. Neuroimage, 100, 60-74. https://doi.org/10.1016/j.neuroimage.2014.05.082
Arslan, B., Verbrugge, R., Taatgen, N., & Hollebrandse, B. (2014). Teaching Children to Attribute Second-order False Belief: A Training Study. In J. Szymanik, & R. Verbrugge (Eds.), Proceedings of the Second Workshop Reasoning About Other Minds: Logical and Cognitive Perspectives (Vol. 1208, pp. 1-5). CEUR Workshop Proceedings.
Gittelson, L., & Taatgen, N. (2014). Transferrring primitive elements of skill within and between tasks. In Proceedings of the 36th annual meeting of the cognitive science society (pp. 529). Cognitive Science Society.
Katidioti, I., Borst, J. P., & Taatgen, N. A. (2014). What Happens When We Switch Tasks: Pupil Dilation in Multitasking. Journal of experimental psychology-Applied, 20(4), 380-396. https://doi.org/10.1037/xap0000031

2013

Katidioti, I., & Taatgen, N. (2014). Choice in Multitasking: How Delays in the Primary Task Turn a Rational Into an Irrational Multitasker. Human Factors, 56(4), 728-736. https://doi.org/10.1177/0018720813504216
Borst, J., Nijboer, M., Taatgen, N., & Anderson, J. R. (2013). A data-driven mapping of five ACT-R modules on the brain. In Proceedings of the 12th International Conference on Cognitive Modeling (pp. 5-10). Carleton University.
Borst, J. P., Buwalda, T. A., van Rijn, H., & Taatgen, N. A. (2013). Avoiding the problem state bottleneck by strategic use of the environment. Acta Psychologica, 144(2), 373-379. https://doi.org/10.1016/j.actpsy.2013.07.016
Nijboer, M., Borst, J., van Rijn, H., & Taatgen, N. (2013). Concurrent multitasking: Different tasks, different interference. Paper presented at 35th Annual Meeting of the Cognitive Science Society, Berlin, Germany.
Meijering, B., Van Rijn, H., Taatgen, N. A., & Verbrugge, R. (2013). Correction: What eye movements can tell about theory of mind in a strategic game (PLoS ONE). PLoS ONE, 8(6). https://doi.org/10.1371/annotation/07d6a9ae-a794-4741-9c47-ef741fcc01fc
Nijboer, M., Taatgen, N. A., Brands, A., Borst, J. P., & van Rijn, H. (2013). Decision Making in Concurrent Multitasking: Do People Adapt to Task Interference? PLoS ONE, 8(11), Article e79583. https://doi.org/10.1371/journal.pone.0079583
Taatgen, N. A. (2013). Diminishing Return in Transfer: A PRIM Model of the Frensch (1991) Arithmetic Experiment. In International Conference on Cognitive Modeling
Waalkens, M., Aleven, V., & Taatgen, N. (2013). Does supporting multiple student strategies lead to greater learning and motivation? Investigating a source of complexity in the architecture of intelligent tutoring systems. Computers & Education, 60(1), 159-171. https://doi.org/10.1016/j.compedu.2012.07.016
Nyamsuren, E., & Taatgen, N. (2013). From Casual Deduction to Spatial Relations: Bottom-up and Top-down Reasoning Unified. In Proceedings of the 12th International Conference on Cognitive Modeling (pp. 203-208). Carleton University.
Arslan, B., Taatgen, N., & Verbrugge, L. (2013). Modeling developmental transitions in reasoning about false beliefs of others. In Proceedings of the 12th international conference on cognitive modeling (pp. 77-82). Cartelon University. http://iccm-conference.org/2013-proceedings/papers/0013/index.html
Nyamsuren, E., & Taatgen, N. A. (2013). Pre-attentive and attentive vision module. Cognitive Systems Research, 24, 62-71. https://doi.org/10.1016/j.cogsys.2012.12.010
Nijboer, M., Borst, J. P., Taatgen, NA., & Van Rijn, H. (2013). Predicting interference in concurrent multitasking. In Proceedings of the 12th International Conference on Cognitive Modeling. Ottawa, Canada
Lanzer, P., & Taatgen, N. (2013). Procedural Knowledge in Percutaneous Coronary Interventions. Experimental & Clinical Cardiology, 18(1), 1-6. https://doi.org/10.4172/2155-9880.S6-005
Wierda, S., van Rijn, H., Taatgen, N., & Martens, S. (2013). Pupil dilation deconvolution reveals the dynamics of attention at high temporal resolution. Perception, 42, 89-89.
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