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Pupil Size Tracks the Effects of Global Context and Semantic Ambiguity on Word-Meaning Processing Cover

Pupil Size Tracks the Effects of Global Context and Semantic Ambiguity on Word-Meaning Processing

By: Julieta Laurino and  Laura Kaczer  
Open Access
|Jul 2025

References

  1. Albrecht, J. E., & O’Brien, E. J. (1993). Updating a mental model: Maintaining both local and global coherence. Journal of Experimental Psychology: Learning, Memory, and Cognition, 19(5), 10611070. 10.1037/0278-7393.19.5.1061
  2. Armstrong, B. C., & Plaut, D. C. (2008). Settling Dynamics in Distributed Networks Explain Task Differences in Semantic Ambiguity Effects: Computational and Behavioral Evidence. Proceedings of the Annual Meeting of the Cognitive Science Society, 30(30). 10.1037/e527312012-207
  3. Barr, D. J., Levy, R., Scheepers, C., & Tily, H. J. (2013). Random effects structure for confirmatory hypothesis testing: Keep it maximal. Journal of Memory and Language, 68(3), 255278. 10.1016/j.jml.2012.11.001
  4. Bates, D., Maechler, M., Bolker, B., & Walker, S. (2015). Fitting Linear Mixed-Effects Models Using lme4. Journal of Statistical Software, 67(1), 148. 10.18637/jss.v067.i01
  5. Beatty, J. (1982). Phasic Not Tonic Pupillary Responses Vary With Auditory Vigilance Performance. Psychophysiology, 19(2), 167172. 10.1111/j.1469-8986.1982.tb02540.x
  6. Beretta, A., Fiorentino, R., & Poeppel, D. (2005). The effects of homonymy and polysemy on lexical access: An MEG study. Cognitive Brain Research, 24(1), 5765. 10.1016/j.cogbrainres.2004.12.006
  7. Berkum, J. J. A. van, Hagoort, P., & Brown, C. M. (1999). Semantic Integration in Sentences and Discourse: Evidence from the N400. Journal of Cognitive Neuroscience, 11(6), 657671. 10.1162/089892999563724
  8. Blott, L. M., Hartopp, O., Nation, K., & Rodd, J. M. (2022). Learning about the meanings of ambiguous words: Evidence from a word-meaning priming paradigm with short narratives. PeerJ, 10, e14070. 10.7717/peerj.14070
  9. Boudewyn, M. A., Long, D. L., & Swaab, T. Y. (2015). Graded expectations: Predictive processing and the adjustment of expectations during spoken language comprehension. Cognitive, Affective, & Behavioral Neuroscience, 15(3), 607624. 10.3758/s13415-015-0340-0
  10. Brothers, T., & Kuperberg, G. R. (2021). Word predictability effects are linear, not logarithmic: Implications for probabilistic models of sentence comprehension. Journal of Memory and Language, 116, 104174. 10.1016/j.jml.2020.104174
  11. Brown, S. W. (2008). Polysemy in the Mental Lexicon. Colorado Research in Linguistics. 10.25810/s1d0-gj21
  12. Cabana, Á., Zugarramurdi, C., Valle-Lisboa, J. C., & De Deyne, S. (2024). The “Small World of Words” free association norms for Rioplatense Spanish. Behavior Research Methods, 56(2), 968985. 10.3758/s13428-023-02070-z
  13. Camblin, C. C., Gordon, P. C., & Swaab, T. Y. (2007). The interplay of discourse congruence and lexical association during sentence processing: Evidence from ERPs and eye tracking. Journal of Memory and Language, 56(1), 103128. 10.1016/j.jml.2006.07.005
  14. Carter, G.-A., & Hoffman, P. (2024). Discourse coherence modulates use of predictive processing during sentence comprehension. Cognition, 242, 105637. 10.1016/j.cognition.2023.105637
  15. Cavanagh, J. F., & Frank, M. J. (2014). Frontal theta as a mechanism for cognitive control. Trends in cognitive sciences, 18(8), 414421. 10.1016/j.tics.2014.04.012
  16. Cevoli, B., Watkins, C., & Rastle, K. (2021). What is semantic diversity and why does it facilitate visual word recognition? Behavior Research Methods, 53(1), 247263. 10.3758/s13428-020-01440-1
  17. Chapman, L. R., & Hallowell, B. (2015). A Novel Pupillometric Method for Indexing Word Difficulty in Individuals With and Without Aphasia. Journal of Speech, Language, and Hearing Research, 58(5), 15081520. 10.1044/2015_JSLHR-L-14-0287
  18. Curtis, A. J., Mak, M. H. C., Chen, S., Rodd, J. M., & Gaskell, M. G. (2022). Word-meaning priming extends beyond homonyms. Cognition, 226, 105175. 10.1016/j.cognition.2022.105175
  19. De Deyne, S., Navarro, D. J., Collell, G., & Perfors, A. (2021). Visual and Affective Multimodal Models of Word Meaning in Language and Mind. Cognitive Science, 45(1), e12922. 10.1111/cogs.12922
  20. De Groot, A. M. B. (1985). Word-Context Effects in Word Naming and Lexical Decision. The Quarterly Journal of Experimental Psychology Section A, 37(2), 281297. 10.1080/14640748508400934
  21. DeLong, K. A., Urbach, T. P., & Kutas, M. (2005). Probabilistic word pre-activation during language comprehension inferred from electrical brain activity. Nature Neuroscience, 8(8), 11171121. 10.1038/nn1504
  22. Duchon, A., Perea, M., Sebastián-Gallés, N., Martí, A., & Carreiras, M. (2013). EsPal: One-stop shopping for Spanish word properties. Behavior Research Methods, 45(4), 12461258. 10.3758/s13428-013-0326-1
  23. Engelhardt, P. E., Ferreira, F., & Patsenko, E. G. (2010). Pupillometry reveals processing load during spoken language comprehension. Quarterly Journal of Experimental Psychology, 63(4), 639645. 10.1080/17470210903469864
  24. Federmeier, K. D., & Kutas, M. (1999). A Rose by Any Other Name: Long-Term Memory Structure and Sentence Processing. Journal of Memory and Language, 41(4), 469495. 10.1006/jmla.1999.2660
  25. Fleur, D. S., Flecken, M., Rommers, J., & Nieuwland, M. S. (2020). Definitely saw it coming? The dual nature of the pre-nominal prediction effect. Cognition, 204, 104335. 10.1016/j.cognition.2020.104335
  26. Fraga, I., Padrón, I., Perea, M., & Comesaña, M. (2017). I saw this somewhere else: The Spanish Ambiguous Words (SAW) database. Lingua, 185, 110. 10.1016/j.lingua.2016.07.002
  27. Friedman, D., Hakerem, G., Sutton, S., & Fleiss, J. L. (1973). Effect of stimulus uncertainty on the pupillary dilation response and the vertex evoked potential. Electroencephalography and Clinical Neurophysiology, 34(5), 475484. 10.1016/0013-4694(73)90065-5
  28. Gaskell, M. G., Cairney, S. A., & Rodd, J. M. (2019). Contextual priming of word meanings is stabilized over sleep. Cognition, 182, 109126. 10.1016/j.cognition.2018.09.007
  29. Geller, J., Landrigan, J.-F., & Mirman, D. (2019). A pupillometric examination of cognitive control in taxonomic and thematic semantic memory. Journal of Cognition, 2(1). 10.5334/joc.56
  30. Geller, J., Still, M. L., & Morris, A. L. (2016). Eyes wide open: Pupil size as a proxy for inhibition in the masked-priming paradigm. Memory & Cognition, 44(4), 554564. 10.3758/s13421-015-0577-4
  31. Gilbert, R. A., Davis, M. H., Gaskell, M. G., & Rodd, J. M. (2018). Listeners and readers generalize their experience with word meanings across modalities. Journal of Experimental Psychology: Learning, Memory, and Cognition, 44(10), 1533. 10.1037/xlm0000532
  32. Gilbert, R. A., & Rodd, J. M. (2022). Dominance norms and data for spoken ambiguous words in British English. Journal of Cognition, 5(1), 4. 10.5334/joc.194
  33. Gilzenrat, M. S., Nieuwenhuis, S., Jepma, M., & Cohen, J. D. (2010). Pupil diameter tracks changes in control state predicted by the adaptive gain theory of locus coeruleus function. Cognitive, Affective, & Behavioral Neuroscience, 10(2), 252269. 10.3758/CABN.10.2.252
  34. Graves, J. E., Egré, P., Pressnitzer, D., & de Gardelle, V. (2021). An implicit representation of stimulus ambiguity in pupil size. Proceedings of the National Academy of Sciences, 118(48), e2107997118. 10.1073/pnas.2107997118
  35. Guasch, M., Ferré, P., & Haro, J. (2017). Pupil dilation is sensitive to the cognate status of words: Further evidence for non-selectivity in bilingual lexical access. Bilingualism: Language and Cognition, 20(1), 4954. 10.1017/S1366728916000651
  36. Haro, J., & Ferré, P. (2018). Semantic Ambiguity: Do Multiple Meanings Inhibit or Facilitate Word Recognition? Journal of Psycholinguistic Research, 47(3), 679698. 10.1007/s10936-017-9554-3
  37. Haro, J., Ferré, P., Boada, R., & Demestre, J. (2017). Semantic ambiguity norms for 530 Spanish words. Applied Psycholinguistics, 38(2), 457475. 10.1017/S0142716416000266
  38. Haro, J., Guasch, M., Vallès, B., & Ferré, P. (2017). Is pupillary response a reliable index of word recognition? Evidence from a delayed lexical decision task. Behavior Research Methods, 49(5), 19301938. 10.3758/s13428-016-0835-9
  39. Haro, J., López-Cortés, N., & Ferré, P. (2023). Pupillometric and behavioural evidence shows no differences between polyseme and homonym processing. Acta Psychologica, 238, 103985. 10.1016/j.actpsy.2023.103985
  40. Hayes, T. R., & Petrov, A. A. (2016). Mapping and correcting the influence of gaze position on pupil size measurements. Behavior Research Methods, 48(2), 510527. 10.3758/s13428-015-0588-x
  41. Helder, A., Perfetti, C. A., & van den Broek, P. (2020). Thematic influences on word-to-text integration across a sentence boundary. Language, Cognition and Neuroscience, 35(10), 12391256. 10.1080/23273798.2020.1772494
  42. Hershman, R., Milshtein, D., & Henik, A. (2023). The contribution of temporal analysis of pupillometry measurements to cognitive research. Psychological Research, 87(1), 2842. 10.1007/s00426-022-01656-0
  43. Hess, D. J., Foss, D. J., & Carroll, P. (1995). Effects of global and local context on lexical processing during language comprehension. Journal of Experimental Psychology: General, 124(1), 6282. 10.1037/0096-3445.124.1.62
  44. Hino, Y., Pexman, P. M., & Lupker, S. J. (2006). Ambiguity and relatedness effects in semantic tasks: Are they due to semantic coding? Journal of Memory and Language, 55(2), 247273. 10.1016/j.jml.2006.04.001
  45. Hoffman, P. (2016). The meaning of ‘life’ and other abstract words: Insights from neuropsychology. Journal of Neuropsychology, 10(2), 317343. 10.1111/jnp.12065
  46. Holcomb, P. J., & Anderson, J. E. (1993). Cross-modal semantic priming: A time-course analysis using event-related brain potentials. Language and Cognitive Processes, 8(4), 379411. 10.1080/01690969308407583
  47. Hutton, S. (2019, junio 3). Eye Tracking for Pupillometry. Fast, Accurate, Reliable Eye Tracking. https://www.sr-research.com/eye-tracking-blog/background/pupillometry-research/
  48. Joshi, S., Li, Y., Kalwani, R. M., & Gold, J. I. (2016). Relationships between Pupil Diameter and Neuronal Activity in the Locus Coeruleus, Colliculi, and Cingulate Cortex. Neuron, 89(1), 221234. 10.1016/j.neuron.2015.11.028
  49. Jurado, D. (2024). Contribuciones del contexto semántico al procesamiento de palabras (Master’s thesis). Universidad de Buenos Aires.
  50. Kadem, M., Herrmann, B., Rodd, J. M., & Johnsrude, I. S. (2020). Pupil Dilation Is Sensitive to Semantic Ambiguity and Acoustic Degradation. Trends in Hearing, 24, 2331216520964068. 10.1177/2331216520964068
  51. Kahneman, D., & Beatty, J. (1966). Pupil Diameter and Load on Memory. Science, 154(3756), 15831585. 10.1126/science.154.3756.1583
  52. Kintsch, W. (1988). The role of knowledge in discourse comprehension: A construction-integration model. Psychological Review, 95(2), 163182. 10.1037/0033-295X.95.2.163
  53. Kleinman, D., Runnqvist, E., & Ferreira, V. S. (2015). Single-word predictions of upcoming language during comprehension: Evidence from the cumulative semantic interference task. Cognitive Psychology, 79, 68101. 10.1016/j.cogpsych.2015.04.001
  54. Klepousniotou, E., & Baum, S. R. (2007). Disambiguating the ambiguity advantage effect in word recognition: An advantage for polysemous but not homonymous words. Journal of Neurolinguistics, 20(1), 124. 10.1016/j.jneuroling.2006.02.001
  55. Klimesch, W. (1999). EEG alpha and theta oscillations reflect cognitive and memory performance: A review and analysis. Brain research reviews, 29(2–3), 169195. 10.1016/S0165-0173(98)00056-3
  56. Kuchinke, L., , M. L.-H., Hofmann, M., & Jacobs, A. M. (2007). Pupillary responses during lexical decisions vary with word frequency but not emotional valence. International Journal of Psychophysiology, 65(2), 132140. 10.1016/j.ijpsycho.2007.04.004
  57. Kuchinsky, S. E., Ahlstrom, J. B., Vaden, K. I., Cute, S. L., Humes, L. E., Dubno, J. R., & Eckert, M. A. (2013). Pupil size varies with word listening and response selection difficulty in older adults with hearing loss. Psychophysiology, 50(1), 2334. 10.1111/j.1469-8986.2012.01477.x
  58. Kutas, M., & Federmeier, K. D. (2011). Thirty Years and Counting: Finding Meaning in the N400 Component of the Event-Related Brain Potential (ERP). Annual Review of Psychology, 62(1), 621647. 10.1146/annurev.psych.093008.131123
  59. Kutas, M., & Hillyard, S. A. (1980). Reading Senseless Sentences: Brain Potentials Reflect Semantic Incongruity. Science, 207(4427), 203205. 10.1126/science.7350657
  60. Kuznetsova, A., Brockhoff, P. B., & Christensen, R. H. B. (2017). “lmerTest Package: Tests in Linear Mixed Effects Models.” Journal of Statistical Software, *82*(13), 126. 10.18637/jss.v082.i13
  61. Laurino, J., De Deyne, S., Cabana, Á., & Kaczer, L. (2023). The Pandemic in Words: Tracking Fast Semantic Changes via a Large-Scale Word Association Task. Open Mind, 7, 221239. 10.1162/opmi_a_00081
  62. Lenth, R. (2024). emmeans: Estimated Marginal Means, aka Least-Squares Means. R package version 1.10.1. https://CRAN.R-project.org/package=emmeans
  63. Liu, C., Cohn, T., Deyne, S. D., & Frermann, L. (2022). WAX: A New Dataset for Word Association eXplanations. En Y. He, H. Ji, S. Li, Y. Liu & C.-H. Chang (Eds.), Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) (pp. 106120). Association for Computational Linguistics. 10.18653/v1/2022.aacl-main.9
  64. López Cortés, N., & Horno Chéliz, C. (2021). La naturaleza de la ambigüedad léxica: Un estudio sobre los sustantivos en español. Universidad de Zaragoza, Prensas de la Universidad.
  65. Luck, S. J. (2014). An introduction to the event-related potential technique. MIT press. https://books.google.com/books?hl=en&lr=&id=y4-uAwAAQBAJ&oi=fnd&pg=PR5&dq=Luck,+S.J.++(2014)+An+introduction+to+the+event-related+potential+technique.++MIT+press&ots=jD_3I5RSCz&sig=n0ELfQ3OZg3d0Ta3-BfmW4HTBys
  66. Lyons, J. (1981). Language and Linguistics. Cambridge University Press. 10.1017/CBO9780511809859
  67. Mathôt, S. (2018). Pupillometry: Psychology, physiology, and function. Journal of cognition, 1(1), 16. 10.5334/joc.18
  68. Mathôt, S. (2024). DataMatrix (Version 1.0.13) [Computer software]. GitHub. https://pydatamatrix.eu/
  69. Mathôt, S., & Vilotijević, A. (2022). Methods in cognitive pupillometry: Design, preprocessing, and statistical analysis. Behavior Research Methods. 10.3758/s13428-022-01957-7
  70. McLaughlin, D. J., Colvett, J. S., Bugg, J. M., & Van Engen, K. J. (2024). Sequence effects and speech processing: Cognitive load for speaker-switching within and across accents. Psychonomic Bulletin & Review, 31(1), 176186. 10.3758/s13423-023-02322-1
  71. McLaughlin, D. J., Zink, M. E., Gaunt, L., Brent Spehar, N., Van Engen, K. J., Sommers, M. S., & Peelle, J. E. (2022). Pupillometry reveals cognitive demands of lexical competition during spoken word recognition in young and older adults. Psychonomic Bulletin & Review, 29(1), 268280. 10.3758/s13423-021-01991-0
  72. McLaughlin, D. J., Zink, M. E., Gaunt, L., Reilly, J., Sommers, M. S., Van Engen, K. J., & Peelle, J. E. (2023). Give me a break! Unavoidable fatigue effects in cognitive pupillometry. Psychophysiology, 60(7), e14256. 10.1111/psyp.14256
  73. McMahon, C. M., Boisvert, I., de Lissa, P., Granger, L., Ibrahim, R., Lo, C. Y., Miles, K., & Graham, P. L. (2016). Monitoring Alpha Oscillations and Pupil Dilation across a Performance-Intensity Function. Frontiers in Psychology, 7. 10.3389/fpsyg.2016.00745
  74. Miles, K., McMahon, C., Boisvert, I., Ibrahim, R., de Lissa, P., Graham, P., & Lyxell, B. (2017). Objective Assessment of Listening Effort: Coregistration of Pupillometry and EEG. Trends in Hearing, 21, 2331216517706396. 10.1177/2331216517706396
  75. Mirman, D. (2014). Growth Curve Analysis and Visualization Using R. Chapman and Hall/CRC.
  76. Monzó, A. E. (1991). Estudio normativo sobre ambigüedad en castellano. Cognitiva, 3(2), 237246.
  77. Murphy, P. R., O’Connell, R. G., O’Sullivan, M., Robertson, I. H., & Balsters, J. H. (2014). Pupil diameter covaries with BOLD activity in human locus coeruleus. Human Brain Mapping, 35(8), 41404154. 10.1002/hbm.22466
  78. Nelson, D. L., McEvoy, C. L., & Schreiber, T. A. (2004). The University of South Florida free association, rhyme, and word fragment norms. Behavior Research Methods, Instruments, & Computers, 36(3), 402407. 10.3758/BF03195588
  79. Papesh, M. H., & Goldinger, S. D. (2012). Pupil-BLAH-metry: Cognitive effort in speech planning reflected by pupil dilation. Attention, Perception, & Psychophysics, 74(4), 754765. 10.3758/s13414-011-0263-y
  80. Peelle, J. E., & Van Engen, K. J. (2021). Time Stand Still: Effects of Temporal Window Selection on Eye Tracking Analysis. Collabra: Psychology, 7(1), 25961. 10.1525/collabra.25961
  81. Peirce, J., Gray, J. R., Simpson, S., MacAskill, M., Höchenberger, R., Sogo, H., Kastman, E., & Lindeløv, J. K. (2019). PsychoPy2: Experiments in behavior made easy. Behavior Research Methods, 51(1), 195203. 10.3758/s13428-018-01193-y
  82. Pexman, P. M., Hino, Y., & Lupker, S. J. (2004). Semantic Ambiguity and the Process of Generating Meaning From Print. Journal of Experimental Psychology: Learning, Memory, and Cognition, 30(6), 12521270. 10.1037/0278-7393.30.6.1252
  83. Pluchino, P., Gamberini, L., Barral, O., & Minelle, F. (2014). How Semantic Processing of Words Evokes Changes in Pupil. En G. Jacucci, L. Gamberini, J. Freeman, & A. Spagnolli (Eds.), Symbiotic Interaction (Vol. 8820, pp. 99112). Springer International Publishing. 10.1007/978-3-319-13500-7_8
  84. R Core Team (2024). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. <https://www.R-project.org/>.
  85. Ralph, M. A. L., Jefferies, E., Patterson, K., & Rogers, T. T. (2017). The neural and computational bases of semantic cognition. Nature Reviews Neuroscience, 18(1), 4255. 10.1038/nrn.2016.150
  86. Rayner, K., Ashby, J., Pollatsek, A., & Reichle, E. D. (2004). The Effects of Frequency and Predictability on Eye Fixations in Reading: Implications for the E-Z Reader Model. Journal of Experimental Psychology: Human Perception and Performance, 30(4), 720732. 10.1037/0096-1523.30.4.720
  87. Rayner, K., & Duffy, S. A. (1986). Lexical complexity and fixation times in reading: Effects of word frequency, verb complexity, and lexical ambiguity. Memory & Cognition, 14(3), 191201. 10.3758/BF03197692
  88. Real Academia Española. (2014). Diccionario de la lengua española (23a ed.). https://dle.rae.es/
  89. Rice, C. A., Beekhuizen, B., Dubrovsky, V., Stevenson, S., & Armstrong, B. C. (2019). A comparison of homonym meaning frequency estimates derived from movie and television subtitles, free association, and explicit ratings. Behavior Research Methods, 51(3), 13991425. 10.3758/s13428-018-1107-7
  90. Rodd, J. M. (2020). Settling Into Semantic Space: An Ambiguity-Focused Account of Word-Meaning Access. Perspectives on Psychological Science, 15(2), 411427. 10.1177/1745691619885860
  91. Rodd, J. M., Cai, Z. G., Betts, H. N., Hanby, B., Hutchinson, C., & Adler, A. (2016). The impact of recent and long-term experience on access to word meanings: Evidence from large-scale internet-based experiments. Journal of Memory and Language, 87, 1637. 10.1016/j.jml.2015.10.006
  92. Rodd, J. M., Gaskell, G., & Marslen-Wilson, W. (2002). Making Sense of Semantic Ambiguity: Semantic Competition in Lexical Access. Journal of Memory and Language, 46(2), 245266. 10.1006/jmla.2001.2810
  93. Rodd, J. M., Lopez Cutrin, B., Kirsch, H., Millar, A., & Davis, M. H. (2013). Long-term priming of the meanings of ambiguous words. Journal of Memory and Language, 68(2), 180198. 10.1016/j.jml.2012.08.002
  94. Rojas, C., Vega-Rodríguez, Y. E., Lagos, G., Cabrera-Miguieles, M. G., Sandoval, Y., & Crisosto-Alarcón, J. (2024). Applicability and usefulness of pupillometry in the study of lexical access. A scoping review of primary research. Frontiers in Psychology, 15, 1372912. 10.3389/fpsyg.2024.1372912
  95. Sara, S. J. (2009). The locus coeruleus and noradrenergic modulation of cognition. Nature Reviews Neuroscience, 10(3), 211223. 10.1038/nrn2573
  96. Schustack, M. W., Ehrlich, S. F., & Rayner, K. (1987). Local and global sources of contextual facilitation in reading. Journal of Memory and Language, 26(3), 322340. 10.1016/0749-596X(87)90117-3
  97. Schwanenflugel, P. J., Harnishfeger, K. K., & Stowe, R. W. (1988). Context availability and lexical decisions for abstract and concrete words. Journal of Memory and Language, 27(5), 499520. 10.1016/0749-596X(88)90022-8
  98. Schwanenflugel, P. J., & Stowe, R. W. (1989). Context Availability and the Processing of Abstract and Concrete Words in Sentences. Reading Research Quarterly, 24(1), 114126. 10.2307/748013
  99. Schwanenflugel, P. J., & White, C. R. (1991). The Influence of Paragraph Information on the Processing of Upcoming Words. Reading Research Quarterly, 26(2), 160177. 10.2307/747980
  100. Sharkey, N. E., & Mitchell, D. C. (1985). Word recognition in a functional context: The use of scripts in reading. Journal of Memory and Language, 24(2), 253270. 10.1016/0749-596X(85)90027-0
  101. Simpson, G. B., & Burgess, C. (1985). Activation and selection processes in the recognition of ambiguous words. Journal of experimental psychology: Human perception and performance, 11(1), 28. 10.1037//0096-1523.11.1.28
  102. Sirois, S., & Brisson, J. (2014). Pupillometry. WIREs Cognitive Science, 5(6), 679692. 10.1002/wcs.1323
  103. Swinney, D. A. (1979). Lexical access during sentence comprehension: (Re)consideration of context effects. Journal of Verbal Learning and Verbal Behavior, 18(6), 645659. 10.1016/S0022-5371(79)90355-4
  104. Szewczyk, J. M., & Federmeier, K. D. (2022). Context-based facilitation of semantic access follows both logarithmic and linear functions of stimulus probability. Journal of Memory and Language, 123, 104311. 10.1016/j.jml.2021.104311
  105. Trott, S., & Bergen, B. (2023). Word meaning is both categorical and continuous. Psychological Review. 10.1037/rev0000420
  106. Twilley, L. C., Dixon, P., Taylor, D., & Clark, K. (1994). University of Alberta norms of relative meaning frequency for 566 homographs. Memory & Cognition, 22(1), 111126. 10.3758/BF03202766
  107. Vu, H., Kellas, G., Metcalf, K., & Herman, R. (2000). The influence of global discourse on lexical ambiguity resolution. Memory & Cognition, 28(2), 236252. 10.3758/BF03213803
  108. Winn, M. B. (2016). Rapid Release From Listening Effort Resulting From Semantic Context, and Effects of Spectral Degradation and Cochlear Implants. Trends in Hearing, 20, 2331216516669723. 10.1177/2331216516669723
  109. Winn, M. B., Edwards, J. R., & Litovsky, R. Y. (2015). The Impact of Auditory Spectral Resolution on Listening Effort Revealed by Pupil Dilation. Ear and Hearing, 36(4), e153165. 10.1097/AUD.0000000000000145
  110. Winn, M. B., Wendt, D., Koelewijn, T., & Kuchinsky, S. E. (2018). Best Practices and Advice for Using Pupillometry to Measure Listening Effort: An Introduction for Those Who Want to Get Started. Trends in Hearing, 22, 2331216518800869. 10.1177/2331216518800869
  111. Zekveld, A. A., Kramer, S. E., & Festen, J. M. (2010). Pupil response as an indication of effortful listening: The influence of sentence intelligibility. Ear and hearing, 31(4), 480490. 10.1097/AUD.0b013e3181d4f251
  112. Zwaan, R. A., & Radvansky, G. A. (1998). Situation models in language comprehension and memory. Psychological Bulletin, 123(2), 162185. 10.1037/0033-2909.123.2.162
DOI: https://doi.org/10.5334/joc.454 | Journal eISSN: 2514-4820
Language: English
Submitted on: Jan 20, 2025
Accepted on: Jul 7, 2025
Published on: Jul 29, 2025
Published by: Ubiquity Press
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Publication frequency: 1 issue per year

© 2025 Julieta Laurino, Laura Kaczer, published by Ubiquity Press
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