Journal Articles
2024 & in press
Held, M., Minculescu, A., Rieger, J.W., & Borst, J.P. (in press). Preventing mind-wandering during driving: Predictions on potential interventions using a cognitive model. International Journal of Human – Computer Studies.
Held, M., Rieger, J.W., & Borst, J.P. (2024). Multitasking while driving: central bottleneck or problem state interference? Human Factors 66(5), 1564-1582.
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2023
Borst, J.P., Aubin, S., & Stewart, T.C. (2023). A whole-task brain model of associative recognition that accounts for human behavior and neuroimaging data. PLoS Computational Biology 19(9): e1011427.
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Michalke, L., Dreyer, A.M., Borst, J.P., & Rieger, J.W. (2023). Inter-individual single-trial classification of MEG data using M-CCA. NeuroImage 273.
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Jin, C.Y., Borst, J.P., & Van Vugt, M.K. (in press). Decoding Study-Independent Mind-Wandering from EEG using Convolutional Neural Networks. Journal of Neural Engineering.
2022
van der Velde, M, Sense, F., Borst, J.P., van Maanen, L., & van Rijn, H. (2022). Capturing Dynamic Performance in a Cognitive Model: Estimating ACT-R Memory Parameters with the Linear Ballistic Accumulator. Topics in Cognitive Science 14(4): 889-903.
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Portoles, O., Blesa, M., van Vugt, M.K., Cao, M., & Borst, J.P. (2022). Thalamic bursts modulate cortical synchrony locally to switch between states of global functional connectivity in a cognitive task. PLoS Computational Biology 18(3): e1009407.
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2021
Berberyan, H.S., Van Rijn, H., & Borst, J.P. (2021). Discovering the brain stages of lexical decision: Behavioral effects originate from a single neural decision process. Brain and Cognition 153: 105786.
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van Maanen, L., Portoles, O., & Borst, J.P. (2021). The discovery and interpretation of evidence accumulation stages. Computational Brain & Behavior 4: 395–415.
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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.
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Van der Velde, M., Sense, F., Borst, J.P., , & Van Rijn, H. (2021). Alleviating the Cold Start Problem in Adaptive Learning using Data-Driven Difficulty Estimates. Computational Brain & Behavior 4: 231–249.
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Tiotto, T.F., Goossens, A.S., Banerjee, T., H., Borst, J.P., & Taatgen, N.A. (2021). Learning to Approximate Functions Using Nb-doped SrTiO3 Memristors. Frontiers in Neuroscience 14: 1456.
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Berberyan, H., van Maanen, L., Van Rijn, H., & Borst, J.P. (2021). EEG-based identification of evidence accumulation stages in decision making. Journal of Cognitive Neuroscience 33(3): 510-527.
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2020
Pals, M., Stewart, T.C., Akyürek, E.G., & Borst, J.P. (2020). A functional spiking-neuron model of activity-silent working memory in humans based on calcium-mediated short-term synaptic plasticity. PLoS Computational Biology 16(6): e1007936.
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Jin, C.Y., Borst, J.P., & Van Vugt, M.K. (2020). Distinguishing Vigilance Decrement and Low Task Demands from Mind-wandering: A Machine Learning Analysis of EEG . European Journal of Neuroscience 52(9), pp. 4147-4164.
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Wirzberger, M., Borst, J.P., Krems, J.F., & Rey, G.D. (2020). Memory-related cognitive load effects in an interrupted learning task: A model-based explanation. Trends in Neuroscience and Education 20, pp. 100139.
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2019
Jin, C.Y., Borst, J.P., & Van Vugt, M.K. (2019). Predicting Task-General Mind-Wandering with EEG. Cognitive, Affective, & Behavioral Neuroscience 19(4), pp. 1059–1073.
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2018
Anderson, J.R., Borst, J.P., Fincham, J.M., Ghuman, A.S., Tenison, C., & Zhang, Q. (2018). The Common Time Course of Memory Processes Revealed. Psychological Science 29(9), pp. 1463-1474.
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Zhang, Q., van Vugt, M.K., Borst, J.P., & Anderson, J.R. (2018). Mapping Working Memory Retrieval in Space and in Time: A Combined Electroencephalography and Electrocorticography Approach. NeuroImage 174, pp. 472-484.
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Portoles, O., Borst, J.P., & Van Vugt, M.K. (2018). Characterizing synchrony patterns across cognitive task stages of associative recognition memory. European Journal of Neuroscience 48, pp. 2759-2769.
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2017
Zhang, Q., Borst, J.P., Kass, R.E., & Anderson, J.R. (2017). Inter-Subject Alignment of MEG Datasets in a Common Representational Space. Human Brain Mapping 38(9), 4287-4301.
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Borst, J.P. & Anderson, J.R. (2017). A Step-By-Step Tutorial on using the Cognitive Architecture ACT-R in combination with fMRI Data. Journal of Mathematical Psychology 76, pp. 94-103.
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2016
Nijboer, M., Borst, J.P., Van Rijn, H., & Taatgen, N.A. (2016). Driving and Multitasking: the Good, the Bad, and the Dangerous. Frontiers in Psychology 7, pp. 1718.
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Fechner, H.B., Pachur, T., Schooler, L.J., Mehlhorn, K., Battal, C., Volz, K.G., & Borst, J.P. (2016). Strategies for memory-based decision making: Modeling behavioral and neural signatures within a cognitive architecture. Cognition 157, pp. 77-99.
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Borst, J.P., Ghuman, A.S., & Anderson, J.R. (2016). Tracking Cognitive Processing Stages with MEG: A Spatio-Temporal Model of Associative Recognition in the Brain. NeuroImage 141, pp. 416-430.
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Anderson, J.R., Zhang, Q., Borst, J.P., & Walsh, M.M. (2016). The Discovery of Processing Stages: Extension of Sternberg’s Method. Psychological Review 123(5), pp. 481-509.
Van Rijn, H., Borst, J.P., Taatgen, N.A., & Van Maanen, L. (2016). On the Necessity of Integrating Multiple Levels of Abstraction in a Single Computational Framework. Current Opinion in Behavioral Sciences 11, pp. 116-120.
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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), pp. 791-801.
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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, pp. 906-915.
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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, 25976.
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Nijboer, M., Borst, J.P., Van Rijn, H., & Taatgen, N.A. (2016). Contrasting Single and Multi-Component Working-Memory Systems in Dual Tasking. Cognitive Psychology 86, 1-26.
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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.
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2015
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): e0119673.
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Borst, J.P. & Anderson, J.R. (2015). The Discovery of Processing Stages: Analyzing EEG data with Hidden Semi-Markov Models. NeuroImage 108, 60-73.
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2014
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(6), 380-396.
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Nijboer, M., Borst, J.P., Van Rijn, H., & Taatgen, N.A. (2014). Single-task fMRI Overlap Predicts Concurrent Multitasking Interference. NeuroImage 100, 60-74.
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2013
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), e79583.
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Borst, J.P.*, Schneider, D.W.*, Walsh, M.M.*, & Anderson, J.R. (2013). Stages of Processing in Associative Recognition: Evidence from Behavior, Electroencephalography, and Classification. Journal of Cognitive Neuroscience 25(12), 2151-2166.
*Contributed equally to this work, order is alphabetical.
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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.
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Borst, J.P. & Anderson, J.R. (2013). Using Model-Based functional MRI to locate Working Memory Updates and Declarative Memory Retrievals in the Fronto-Parietal Network. Proceedings of the National Academy of Sciences USA 110(5), 1628-1633.
(pdf) (url)
2012
Van Rijn, H., Dalenberg, J.R., Borst, J.P., & Sprenger, S.A. (2012). Pupil Dilation Co-Varies with Memory Strength of Individual Traces in a Delayed Response Paired-Associate Task. PLoS ONE 7(12), e51134.
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2011
Borst, J.P., Taatgen, N.A., & Van Rijn, H. (2011). Using a Symbolic Process Model as input for Model-Based fMRI Analysis: Locating the Neural Correlates of Problem State Replacements. NeuroImage 58(1), 137-147.
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2010
Borst, J.P., Taatgen, N.A., Stocco, A., & Van Rijn, H. (2010). The Neural Correlates of Problem States: Testing fMRI Predictions of a Computational Model of Multitasking. PLoS ONE, 5(9), e12966. doi:10.1371/journal.pone.0012966.
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Borst, J.P., Taatgen, N.A., & Van Rijn, H. (2010). The Problem State: A Cognitive Bottleneck in Multitasking. Journal of Experimental Psychology: Learning, Memory, & Cognition, 36(2), 363-382.
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2009
Van Maanen, L., Van Rijn, H., & Borst, J.P. (2009). Stroop and Picture-Word Interference are Two Sides of the Same Coin. Psychonomic Bulletin & Review, 16(6), 987-999.
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Taatgen, N.A., Juvina, I., Schipper, M., Borst, J.P., & Martens, S. (2009). Too Much Control can Hurt: A Threaded Cognition Model of the Attentional Blink. Cognitive Psychology, 59(1), 1-29.
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Martens, S., Johnson, A., Bolle, M. & Borst, J.P. (2009). A Quick Visual Mind Can Be a Slow Auditory Mind: Individual Differences in Attentional Selection Across Modalities. Experimental Psychology, 56(1), 33-40.
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Book Chapters
Borst, J.P. & Anderson, J.R. (in press). Discovering Cognitive Stages in M/EEG Data to inform Cognitive Models. In B.U. Forstmann, & B. Turner (Eds.), An Introduction to Model-Based Cognitive Neuroscience. 2nd edition. Springer: New York.
(pdf) (analysis_data_model.zip)
Borst, J.P. & Anderson, J.R. (2015). Using the ACT-R Cognitive Architecture in combination with fMRI data. In B.U. Forstmann, & E.-J. Wagenmakers (Eds.), An Introduction to Model-Based Cognitive Neuroscience. Springer: New York.
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Borst, J.P., Taatgen, N.A., & Van Rijn, H. (2013). Validating Models of Complex, Real-Life Tasks Using fMRI. In A. Johnson & R.W. Proctor (Eds.), Neuroergonomics: A Cognitive Neuroscience Approach to Human Factors and Ergonomics. Palgrave MacMillan.
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Conference Papers
Buwalda, T.A., Borst, J.P., Van der Maas, H., & Taatgen, N.A. (accepted). Explaining Mistakes in Single Digit Multiplication: A Cognitive Model. In Proceedings ICCM 2016.
Buwalda, T.A., Borst, J.P., Van Vugt, M.K., & Taatgen, N.A. (accepted). Don’t Blink! Evaluating Training Paradigms for Overcoming the Attentional Blink. In Proceedings of the 38th Annual Conference of the Cognitive Science Society. Cognitive Science Society.
Borst, J.P., Taatgen, N.A., & 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 Proceedings CHI 2015. Seoul, Korea.
CHI Best Paper Award
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Taatgen, N.A., Katidioti, I., Borst, J.P., & Van Vugt, M.K. (2015). A Model of Distraction using new Architectural Mechanisms to Manage Multiple Goals. In Proceedings ICCM 2015. Groningen, the Netherlands.
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Borst, J.P., Nijboer, M., Taatgen, N.A., & Anderson, J.R. (2013). A Data-Driven Mapping of Five ACT-R Modules on the Brain. In R. West & T. Stewart (Eds.), Proceedings of the 12th International Conference on Cognitive Modeling. Ottawa: Carleton University.
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Nijboer, M., Borst, J.P., van Rijn, H., & Taatgen, N.A. (2013). Predicting Interference in Concurrent Multitasking. In R. West & T. Stewart (Eds.), Proceedings of the 12th International Conference on Cognitive Modeling. Ottawa: Carleton University.
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Borst, J.P. & Anderson, J.R. (2013). Discovering Processing Stages by combining EEG with Hidden Markov Models. In Proceedings of the 35th Annual Conference of the Cognitive Science Society. Cognitive Science Society.
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Buwalda, T.A., Borst, J.P., Taatgen, N.A., & Van Rijn, H. (2011). Evading a Multitasking Bottleneck: Presenting Intermediate Representations in the Environment. In Proceedings of the 33rd Annual Conference of the Cognitive Science Society. Cognitive Science Society.
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Borst, J.P., Taatgen, N.A., & Van Rijn, H. (2009). Modeling Triple-Tasking without Customized Cognitive Control. In N.A. Taatgen & H. van Rijn (Eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society. Cognitive Science Society.
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Borst, J.P., Taatgen, N.A., Van Rijn, H., Stocco, A., & Fincham, J.M. (2009). Testing fMRI Predictions of a Dual-Task Interference Model. In Proceedings of the 9th International Conference on Cognitive Modeling. Manchester, UK.
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Salvucci, D.D., Taatgen, N.A., & Borst, J.P. (2009). Toward a Unified Theory of the Multitasking Continuum: From Concurrent Performance to Task Switching, Interruption, and Resumption. In Human Factors in Computing Systems: CHI 2009 Conference Proceedings (pp. 1819-1828). New York: ACM Press.
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Borst, J.P. & Taatgen, N.A. (2007). The Costs of Multitasking in Threaded Cognition. In Proceedings of the Eighth International Conference on Cognitive Modelling. (pp.133-138)
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Abstracts
Katidioti, I., Borst, J.P., & Taatgen, N.A. (2014). Interrupt Me! Why Forced Interruptions Are Better for Performance Than Voluntary Interruptions. Psychonomic Society Annual Meeting (Psychonomics), Long Beach, CA, USA.
Nijboer, M., Borst, J.P., Van Rijn, H., & Taatgen, N.A. (2014). The Influence of Cognitive Strategies on Performance in Working Memory Tasks. Psychonomic Society Annual Meeting (Psychonomics), Long Beach, CA, USA.
Fechner, H.B., Borst, J.P., Mehlhorn, K., Schooler, L.J., Pachur, T., Battal, C., & Volz, K.G. (2014). Decisions from memory: Modeling behavioral and fMRI data in a cognitive architecture. Psychonomic Society Annual Meeting (Psychonomics), Long Beach, CA, USA.
Borst, J.P. & Anderson, J.R. (2012). Using Model-Based fMRI to Locate the Neural Correlates of Five ACT-R Modules. Nineteenth Annual ACT-R workshop. Pittsburgh, PA.
Borst, J.P. & Anderson, J.R. (2012). Towards Pinpointing the Neural Correlates of ACT-R: a Conjunction of Two Model-Based fMRI Analyses. In Proceedings of the 11th International Conference on Cognitive Modeling. Berlin.
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Borst, J.P., Taatgen, N.A., Van Rijn, H. (2011). Using a Model-Based fMRI Analysis Method to Locate the Neural Correlates of a Multitasking Bottleneck. In Proceedings of the 33st Annual Conference of the Cognitive Science Society. Cognitive Science Society.
Borst, J.P., Taatgen, N.A., Van Rijn, H. (2011). Locating the neural correlates of a multitasking bottleneck: Analyzing fMRI data on the basis of a computational cognitive model. Interdisciplinary Workshop on Cognitive Neuroscience, Educational Research and Cognitive Modeling. Delmenhorst, Germany.
Borst, J.P., Taatgen, N.A., Van Rijn, H. (2010). Locating the Neural Correlates of the Problem State Resource: Analyzing fMRI Data on the Basis of a Computational Model. In Proceedings of the 10th International Conference on Cognitive Modeling. Philadelphia.
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Borst, J.P., Taatgen, N. A., van Rijn, H., & Stocco, A. (2010). Testing fMRI predictions of a Cognitive Model of the Problem State Multitasking Bottleneck. In Proceedings of the 32st Annual Conference of the Cognitive Science Society. Cognitive Science Society.
Borst, J.P. (2010). Using Cognitive Models to Analyze fMRI Data. Seventeenth annual ACT-R workshop. Philadelphia.
Borst, J.P., Taatgen, N.A., Stocco, A., & Van Rijn, H. (2008). Locating the Problem Representation Bottleneck in the Brain. Fifteenth annual ACT-R workshop.
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Borst, J.P., Taatgen, N.A., Stocco, A., & Van Rijn, H. (2008). Problem Representations in Multitasking: An Additional Cognitive Bottleneck. In Proceedings of the 30th Annual Conference of the Cognitive Science Society.
(poster)
Van Maanen, L., Borst, J.P., Janssen, C.P. & Van Rijn, H. (2006). Memory structures as user models. In Proceedings of the thirteenth annual ACT-R workshop.
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Borst, J.P. & Van Rijn, H. (2006). Memory Decay Problems in a Level-Repetition Switch Task Model. In Proceedings of the Seventh International Conference on Cognitive Modelling. (pp. 351-352)
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Misc
Borst, J.P. (2012). De do’s en don’ts van multitasken. Hoeveel taken kan ons werkgeheugen aan? Idee (het politiek-wetenschappelijke tijdschrift van de Mr. Hans van Mierlo Stichting). (pp. 18-23)
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Borst, J.P. (2011). The Problem State Bottleneck. Modeling the behavioral and neural signatures of a cognitive bottleneck in human multitasking. PhD Dissertation.
(site)
Borst, J.P. (2007). Problem Representations in Multitasking: a Cognitive Bottleneck? Master’s Thesis.
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