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Selected publications by theme

Extended reality & learning

Computational & psycholinguistics

Extended reality

Virtual reality

Van Limpt-Broers, H. A. T., Postma, M., & Louwerse, M. M. (2025). Measuring transformative virtual reality experiences in children’s drawings. Memory & Cognition, 53(1), 96-115.

De Back, T. T., Tinga, A. M., & Louwerse, M. M. (2024). Natural-and redirected walking in virtual reality: Spatial performance and user experience. Multimedia Tools and Applications, 1-19.

van Limpt-Broers, H. A. T., Postma, M., van Weelden, E., Pratesi, S., & Louwerse, M. M. (2024). Neurophysiological evidence for the overview effect: a virtual reality journey into space. Virtual Reality, 28(3), 140.

Mousavi, S.M.A., Powell, W.A., Louwerse, M.M., Hendrickson, A.T. (2023). Behavior and self-efficacy modulate learning in virtual reality simulations for training: A structural equation modeling approach. Frontiers in Virtual Reality. https://doi.org/10.3389/frvir.2023.1250823.

de Back, T. T., Tinga, A. M., & Louwerse, M. M. (2021). CAVE-based immersive learning in undergraduate courses: examining the effect of group size and time of application. International Journal of Educational Technology in Higher Education, 18(1).

De Back, T. T., Tinga, A. M., & Louwerse, M. M. (2021). Learning in immersed collaborative virtual environments: Design and implementation. Interactive Learning Environments, 1–19.

de Back, T. T., Tinga, A. M., Nguyen, P., & Louwerse, M. M. (2020). Benefits of immersive collaborative learning in CAVE-based virtual reality. International Journal of Educational Technology in Higher Education.

Louwerse, M. M., Postma, M., Van Limpt-Broers, A., de Back, T. T., Tinga, A. M., & Horden, M. (2020). Beyond the frontiers of education: How immersive media changes the way we learn. ITU Journal: ICT Discoveries, 3(1).

van Limpt-Broers, H. A. T., Postma, M., & Louwerse, M. M. (2020). Creating ambassadors of planet Earth: The Overview Effect in K12 education. Frontiers in Psychology, 11.

Augmented reality

Groenenberg, A., Heyligers, J. M., Burhani, B., Rutten, G. J. M., & Louwerse, M. M. (2026). A markerless, real-time, augmented reality-based surgical navigation system for neurosurgical biopsies. Acta Neurochirurgica.

Groenenberg, A., Brouwers, L., Bemelman, M., Maal, T. J., Heyligers, J. M., & Louwerse, M. M. (2024). Feasibility and accuracy of a real-time depth-based markerless navigation method for hologram-guided surgery. BMC Digital Health, 2(1), 11.

Virtual humans

Dai, L., Kritskaia, V., van der Velden, E., Vervoort, R., Blankendaal, M., Jung, M. M., … & Louwerse, M. M. (2024). Text‐to‐speech and virtual reality agents in primary school classroom environments. Journal of Computer Assisted Learning, 40(6), 2964-2984.

Vaitonytė, J., Alimardani, M., & Louwerse, M. M. (2022). Scoping review of the neural evidence on the uncanny valley. Computers in Human Behavior Reports, 100263.

Vaitonytė, J., Alimardani, M., & Louwerse, M. M. (2022). Corneal reflections and skin contrast yield better memory of human and virtual faces. Cognitive Research: Principles and Implications, 7, 1-15.

Dai, L., Jung, M. M., Postma, M., & Louwerse, M. M. (2022). A systematic review of pedagogical agent research: Similarities, differences and unexplored aspects. Computers & Education, 104607.

Vaitonyte, J., Blomsma, P., Alimardani, M., & Louwerse, M.M. (2021). Realism of the face lies in skin and eyes: Evidence from virtual and human agents. Computers in Human Behavior Reports, 3, 100065.

Louwerse, M.M., Graesser, A.C., McNamara, D.S. & Lu, S. (2010). Embodied conversational agents as conversational partners. Applied Cognitive Psychology, 23, 1244 – 1255.

Louwerse, M.M., Graesser, A.C., Lu, S., & Mitchell, H.H. (2005). Social cues in animated conversational agents. Applied Cognitive Psychology, 19, 1-12.

Graesser, A.C., Lu, S., Jackson, G.T., Mitchell, H., Ventura, M., Olney, A., & Louwerse, M.M. (2004). AutoTutor: A tutor with dialogue in natural language. Behavioral Research Methods, Instruments, and Computers, 36, 180-193.

Computational & corpus linguistics

COMPUTATIONAL LINGUISTICS

Linders, G. M., & Louwerse, M. M. (2023). Lingualyzer: A computational linguistic tool for multilingual and multidimensional text analysis. Behavior Research Methods, 56(6), 5501-5528.

Linders, G. M., & Louwerse, M. M. (2023). Surface and contextual linguistic cues in dialog act classification: A cognitive science view. Cognitive Science, 47(10), e13367.

Linders, G. M., & Louwerse, M. M. (2022). Zipf’s law revisited: Spoken dialog, linguistic units, parameters, and the principle of least effort. Psychonomic Bulletin & Review, 1-25.

Recchia, G. & Louwerse, M.M. (2016). Archaeology through computational linguistics: Inscription statistics predict excavation sites of Indus Valley artifacts. Cognitive Science, 40, 2065-2080.

Recchia, G., & Louwerse, M. M. (2014). Reproducing affective norms with lexical co-occurrence statistics: Predicting valence, arousal, and dominance. Quarterly Journal of Experimental Psychology, 68 (8), 1584-1598.

Datla, V., Lin, K. & Louwerse, M. (2014). Linguistic features predict the truthfulness of short political statements. International Journal of Computational Linguistics and Applications, 79-94.

 Louwerse, M.M. (2007). Disambiguating propositions. Revista Signos, 40, 337-356.

Graesser, A.C., McNamara, D.S., Louwerse, M.M., & Cai, Z. (2004). Coh-Metrix: Analysis of text on cohesion and language. Behavior Research Methods, Instruments, and Computers, 36, 193-202.

McNamara, D.S., Louwerse, M.M., McCarthy, P.M., & Graesser, A.C. (2010). Coh-Metrix: Capturing linguistic features of cohesion. Discourse Processes, 47, 292 – 330.

Corpus linguistics

Louwerse, M. M. (2022). Mapping out the road from corpus linguistics to psycholinguistics. Revista Signos. Estudios de Lingüística, 54(107).

Louwerse, M.M., Crossley, S., & Jeuniaux, P. (2008). What if? Conditionals in educational registers. Linguistics and Education, 19, 56–69.

Crossley, S. A., Louwerse, M., & McNamara, D. S. (2008). Identifying linguistic cues that distinguish text types: A comparison of first and second language speakers. Language Research, 44, 361-381.

Crossley, S.A., Louwerse, M.M., McCarthy, P., & McNamara, D.S. (2007). What is an authentic text: A computational analysis of second language reading texts. Modern Language Journal, 91, 15-30.

Crossley, S.A. & Louwerse, M.M. (2007). Multi-dimensional register classification using collocations. International Journal of Corpus Linguistics, 12, 453–478.

Louwerse, M.M., Cai, Z., Hu, X., Ventura, M., & Jeuniaux, P. (2006). Cognitively inspired natural-language based knowledge representations: Further explorations of Latent Semantic Analysis. International Journal of Artificial Intelligence Tools, 15,1021-1039

Graesser, A.C., Cai, Z., Louwerse, M., & Daniel, F. (2006). Question Understanding Aid (QUAID): A web facility that helps survey methodologists improve the comprehensibility of questions. Public Opinion Quarterly, 70, 1-20.

Louwerse, M.M. & Mitchell, H.H. (2003). Towards a taxonomy of a set of discourse markers in dialog: a theoretical and computational linguistic account. Discourse Processes, 35, 199-239.

Louwerse, M.M. (2001). An analytic and cognitive parameterization of coherence relations. Cognitive Linguistics, 12, 291–315.

Penumatsa, P., Ventura, M., Graesser, A.C., Franceschetti, D.R., Louwerse, M., Hu, X., Cai, Z., & the Tutoring Research Group (2004). The right threshold value: What is the right threshold of cosine measure when using latent semantic analysis for evaluating student answers? International Journal of Artificial Intelligence Tools, 12, 257-279.

 Louwerse, M.M. (2004). Semantic variation in idiolect and sociolect: Corpus linguistic evidence from literary texts. Computers and the Humanities, 38, 207-221.

Non-verbal communication

Porras, D. C., & Louwerse, M. M. (2025). The right eye for fixations. Eye asymmetries modulate gaze patterns towards speakers. Psychonomic Bulletin & Review.

Porras, D. C., & Louwerse, M. M. (2025). Face to face: The eyes as an anchor in multimodal communication. Cognition, 256, 106047.

Abney, D. H., Dale, R., Louwerse, M. M., & Kello, C. T. (2018). The bursts and lulls of multimodal interaction: Temporal distributions of behavior reveal differences between verbal and nonverbal communication. Cognitive Science, 143, 1297-1316.

Louwerse, M. M., Dale, R. A., Bard, E. G., Jeuniaux, P. (2012). Behavior matching in multimodal communication is synchronized. Cognitive Science, 36, 1404-1426.

Louwerse, M.M. & Bangerter, A. (2010). Effects of ambiguous gestures and language on the time course of reference resolution. Cognitive Science, 34, 1517-1529.

Neurophysiology in learning

van Weelden, E., Wiltshire, T. J., Alimardani, M., Louwerse, M. M., Roy, R. N., & Dehais, F. (2025). Assessment of individual and dyadic workload of student and instructor pilots in real and simulated flight: An exploratory study. Applied Ergonomics, 129, 104606.

van Eijndhoven, K. H., Wiltshire, T. J., Hałgas, E. A., Gevers, J. M., & Louwerse, M. (2025). Team coordination breakdowns: Examining physiological features underlying transitions in coordination dynamics. Journal of Cognitive Engineering and Decision Making, 15553434251328803.

van Weelden, E., Wiltshire, T. J., Alimardani, M., & Louwerse, M. M. (2024). Exploring the impact of virtual reality flight simulations on EEG neural patterns and task performance. Cognitive Systems Research, 88, 101282.

Tinga, A. M., Menger, N. S., de Back, T. T., & Louwerse, M. M. (2023). Age Differences in Learning-Related Neurophysiological Changes. Journal of Psychophysiology, 1-14.

van Weelden, E., Alimardani, M., Wiltshire, T. J., & Louwerse, M. M. (2022). Aviation and neurophysiology: A systematic review. Applied Ergonomics, 105, 103838.

Tinga, A.M., Clim, M., de Back, T.T., & Louwerse, M.M. (2021). Measures of prefrontal functional near-infrared spectroscopy in visuomotor learning. Experimental Brain Research, 239, 1061-1072.

Tinga, A. M., de Back, T. T., & Louwerse, M. M. (2020). Neurophysiological changes in visuomotor sequence learning provide insight in general learning processes: Measures of brain activity, skin conductance, heart rate and respiration. International Journal of Psychophysiology, 151, 40-48. doi:10.1016/j.ijpsycho.2020.02.015

Tinga, A. M., de Back, T. T., & Louwerse, M. M. (2020). Non-invasive neurophysiology in learning and training: Mechanisms and a SWOT analysis. Frontiers in Neuroscience, 14, 589. doi:10.3389/fnins.2020.00589

Tinga, A. M., de Back, T. T., & Louwerse, M. M. (2019). Non-invasive neurophysiological measures of learning: A meta-analysis. Neuroscience & Biobehavioral Reviews.

Tinga, A.M., Nyklíček, I., Jansen, M.P., de Back, T., Louwerse, M.M. (2018). Respiratory biofeedback does not facilitate lowering arousal in meditation through virtual reality. Applied Psychophysiology and Biofeedback.

Symbolic & embodied cognition

Louwerse, M.M. (2018). Knowing the meaning of a word by the linguistic and perceptual company it keeps. Topics in Cognitive Science, 10, 573–589.

Tillman, R. & Louwerse, M. (2018). Estimating emotions through language statistics and embodied cognition. Journal of Psycholinguistic Research, 47, 159-167.

Hutchinson, S. Louwerse, M.M. & (2018). Extracting social networks from language statistics. Discourse Processes, 55, 607-618.

Louwerse, M.M. & He, X. (2017). 语言加工中的符号相互依存：语言统计和知觉模拟的交互作用 (Symbol interdependency in language processing: Interactions between language statistics and perceptual simulation). Journal of South China Normal University, 2, 51-60.

46. Louwerse, M., & Qu, Z. (2016). Estimating valence from the sound of a word: Computational, experimental, and cross-linguistic evidence. Psychonomic Bulletin & Review, 1-7.

Louwerse, M. M., Hutchinson, S., Tillman, R., & Recchia, G. (2015). Effect size matters: the role of language statistics and perceptual simulation in conceptual processing. Language, Cognition and Neuroscience, 30, 4, 430-447.

Hutchinson, S., & Louwerse, M. M. (2014). Language statistics explain the spatial-numerical association of response codes. Psychonomic Bulletin and Review, 21, 470-478.

Hutchinson, S., & Louwerse, M. M. (2013). Statistical linguistic context and embodiment predict metaphor processing but participant gender determines how much. Cognitive Linguistics, 24, 667–687.

Tillman, R., Langston, W., Louwerse, M. (2013). Attribution of responsibility by Spanish and English speakers: How native Language affects our social judgments. Revista Signos, 46, 408-422.

Louwerse, M.M. & Hutchinson, S. (2012). Neurological evidence linguistic processes precede perceptual simulation in conceptual processing. Frontiers in Psychology, 16, 385. doi: 10.3389/fpsyg.2012.00385.

36. Louwerse, M. M. & Benesh, N. (2012). Representing spatial structure through maps and language: Lord of the Rings encodes the spatial structure of Middle Earth. Cognitive Science, 36, 1556-69.

Yang, F., Mo, L., Louwerse, M.M. (2012). Effects of local and global context on processing sentences with subject and object relative clauses. Journal of Psycholinguistic Research, 42, 227-237.

Louwerse, M. M. (2011). Stormy seas and cloudy skies: conceptual processing is (still) linguistic and perceptual. Frontiers in Psychology: Cognition, 2, 1-4.

Louwerse, M.M. (2011). Symbol interdependency in symbolic and embodied cognition. Topics in Cognitive Science (TopiCS), 3, 273-302.

Louwerse, M.M. & Connell, L. (2011). A taste of words: Linguistic context and perceptual simulation predict the modality of words. Cognitive Science, 35, 381-398.

Louwerse, M.M. & Jeuniaux, P. (2010). The linguistic and embodied nature of conceptual processing. Cognition, 114, 96-104.

Louwerse, M.M. & Zwaan, R.A. (2009). Language encodes geographical information. Cognitive Science, 33, 51-73.

Louwerse, M.M. (2008). Embodied representations are encoded in language. Psychonomic Bulletin and Review, 15, 838-844.

Louwerse, M.M. & Ventura, M. (2005). How children learn the meaning of words and how LSA does it (too). Journal of Learning Sciences, 14, 301-309.