Have a personal or library account? Click to login
Visual Intuitions in the Absence of Visual Experience: The Role of Direct Experience in Concreteness and Imageability Judgements Cover

Visual Intuitions in the Absence of Visual Experience: The Role of Direct Experience in Concreteness and Imageability Judgements

Open Access
|Jan 2024

References

  1. 1Altarriba, J., Bauer, L. M., & Benvenuto, C. (1999). Concreteness, context availability, and imageability ratings and word associations for abstract, concrete, and emotion words. Behavior Research Methods, Instruments, & Computers: A Journal of the Psychonomic Society, Inc, 31(4), 578602. DOI: 10.3758/BF03200738
  2. 2Baayen, R. H., Davidson, D. J., & Bates, D. M. (2008). Mixed-effects modeling with crossed random effects for subjects and items. Journal of Memory and Language, 59(4), 390412. DOI: 10.1016/j.jml.2007.12.005
  3. 3Baayen, R. H., Piepenbrock, R., & Gulikers, L. (1996). The CELEX lexical database (cd-rom).
  4. 4Baroni, M., & Lenci, A. (2010). Distributional Memory: A General Framework for Corpus-Based Semantics. Computational Linguistics, 36(4), 673721. DOI: 10.1162/COLI_A_00016
  5. 5Barsalou, L. W. (1999). Perceptions of perceptual symbols. Behavioral and Brain Sciences, 22(4), 637660. DOI: 10.1017/S0140525X99532147
  6. 6Barsalou, L. W. (2008). Grounded Cognition. Annual Review of Psychology, 59(1), 617645. DOI: 10.1146/annurev.psych.59.103006.093639
  7. 7Bedny, M., Koster-Hale, J., Elli, G., Yazzolino, L., & Saxe, R. (2019). There’s more to “sparkle” than meets the eye: Knowledge of vision and light verbs among congenitally blind and sighted individuals. Cognition, 189, 105115. DOI: 10.1016/J.COGNITION.2019.03.017
  8. 8Binder, J. R., Westbury, C. F., McKiernan, K. A., Possing, E. T., & Medler, D. A. (2005). Distinct brain systems for processing concrete and abstract concepts. Journal of Cognitive Neuroscience, 17(6), 905917. DOI: 10.1162/0898929054021102
  9. 9Bottini, R., Morucci, P., D’Urso, A., Collignon, O., & Crepaldi, D. (2021). The concreteness advantage in lexical decision does not depend on perceptual simulations. Journal of Experimental Psychology: General. DOI: 10.1037/xge0001090
  10. 10Brown, G. D. A., & Watson, F. L. (1987). First in, first out: Word learning age and spoken word frequency as predictors of word familiarity and word naming latency. Memory & Cognition, 15(3), 208216. DOI: 10.3758/BF03197718
  11. 11Brysbaert, M., & Cortese, M. J. (2010). Do the effects of subjective frequency and age of acquisition survive better word frequency norms? Quarterly Journal of Experimental Psychology, 64(3), 545559. DOI: 10.1080/17470218.2010.503374
  12. 12Campbell, E. E., & Bergelson, E. (2022). Making sense of sensory language: Acquisition of sensory knowledge by individuals with congenital sensory impairments. Neuropsychologia, 174, 108320. DOI: 10.1016/J.NEUROPSYCHOLOGIA.2022.108320
  13. 13Cherry, C. (1957). On Human Communication: A Review. A Survey and a criticism. Massachusetts: the Technology Press of Massachusetts Institute of Technology.
  14. 14Connell, L., & Lynott, D. (2012). Strength of perceptual experience predicts word processing performance better than concreteness or imageability. Cognition, 125(3), 452465. DOI: 10.1016/j.cognition.2012.07.010
  15. 15Connell, L., & Lynott, D. (2014). I see/hear what you mean: Semantic activation in visual word recognition depends on perceptual attention. Journal of Experimental Psychology: General, 143(2), 527. DOI: 10.1037/a0034626
  16. 16de Groot, A. M. B. (1989). Representational Aspects of Word Imageability and Word Frequency as Assessed Through Word Association. Article in Journal of Experimental Psychology Learning Memory and Cognition, 15(5), 824845. DOI: 10.1037/0278-7393.15.5.824
  17. 17Fliessbach, K., Weis, S., Klaver, P., Elger, C. E., & Weber, B. (2006). The effect of word concreteness on recognition memory. NeuroImage. DOI: 10.1016/j.neuroimage.2006.06.007
  18. 18Gentner, D., & Asmuth, J. (2017). Metaphoric extension, relational categories, and abstraction. Language, Cognition and Neuroscience, 34(10), 12981307. DOI: 10.1080/23273798.2017.1410560
  19. 19Günther, F., Marelli, M., Tureski, S., & Petilli, M. (2022). ViSpa (Vision Spaces): A computer-vision-based representation system for individual images and concept prototypes, with large-scale evaluation. Psychological Review. DOI: 10.1037/rev0000392
  20. 20Günther, F., Petilli, M. A., Vergallito, A., & Marelli, M. (2020). Images of the unseen: Extrapolating visual representations for abstract and concrete words in a data-driven computational model. Psychological Research. DOI: 10.1007/s00426-020-01429-7
  21. 21Günther, F., Rinaldi, L., & Marelli, M. (2019). Vector-Space Models of Semantic Representation From a Cognitive Perspective: A Discussion of Common Misconceptions. Perspectives on Psychological Science, 14(6), 10061033. DOI: 10.1177/1745691619861372
  22. 22Hollis, G., & Westbury, C. (2016). The principals of meaning: Extracting semantic dimensions from co-occurrence models of semantics. Psychonomic Bulletin & Review, 23(6), 17441756. DOI: 10.3758/S13423-016-1053-2
  23. 23Johns, B. T., & Jones, M. N. (2012). Perceptual inference through global lexical similarity. Topics in Cognitive Science, 4(1), 103120. DOI: 10.1111/j.1756-8765.2011.01176.x
  24. 24Jones, M. N., Hills, T. T., & Todd, P. M. (2015). Hidden processes in structural representations: A reply to Abbott, Austerweil, and Griffiths (2015). DOI: 10.1037/a0039248
  25. 25Kerr, N. H., & Johnson, T. H. (1991). Word norms for blind and sighted subjects: Familiarity, concreteness, meaningfulness, imageability, imagery modality, and word associations. Behavior Research Methods, Instruments, & Computers 1991 23:4, 23(4), 461485. DOI: 10.3758/BF03209988
  26. 26Kim, J. S., Elli, G. V., & Bedny, M. (2019). Knowledge of animal appearance among sighted and blind adults. Proceedings of the National Academy of Sciences of the United States of America, 166(23), 1121311222. DOI: 10.1073/pnas.1900952116
  27. 27Kroll, J. F., & Merves, J. S. (1986). Lexical access for concrete and abstract words. Journal of Experimental Psychology: Learning, Memory, and Cognition, 12(1), 92. DOI: 10.1037/0278-7393.12.1.92
  28. 28Lewis, M., Zettersten, M., & Lupyan, G. (2019). Distributional semantics as a source of visual knowledge. Proceedings of the National Academy of Sciences of the United States of America, 116(39), 1923719238. DOI: 10.1073/pnas.1910148116
  29. 29Louwerse, M. M. (2011). Symbol interdependency in symbolic and embodied cognition. Topics in Cognitive Science, 3(2), 273302. DOI: 10.1111/j.1756-8765.2010.01106.x
  30. 30Lupyan, G., & Lewis, M. (2017). From words-as-mappings to words-as-cues: the role of language in semantic knowledge. 34(10), 13191337. DOI: 10.1080/23273798.2017.1404114
  31. 31Lynott, D., Connell, L., Brysbaert, M., Brand, J., & Carney, J. (2020). The Lancaster Sensorimotor Norms: multidimensional measures of perceptual and action strength for 40,000 English words. Behavior Research Methods, 52(3), 12711291. DOI: 10.3758/s13428-019-01316-z
  32. 32Marmor, G. S. (1978). Age at onset of blindness and the development of the semantics of color names. Journal of Experimental Child Psychology, 25(2), 267278. DOI: 10.1016/0022-0965(78)90082-6
  33. 33Matheson, H. E., & Barsalou, L. W. (2018). Embodiment and grounding in cognitive neuroscience. Stevens’ Handbook of Experimental Psychology and Cognitive Neuroscience, 3, 127. DOI: 10.1002/9781119170174.epcn310
  34. 34Meteyard, L., Cuadrado, S. R., Bahrami, B., & Vigliocco, G. (2012). Coming of age: A review of embodiment and the neuroscience of semantics. Cortex, 48(7), 788804. DOI: 10.1016/J.CORTEX.2010.11.002
  35. 35Mikolov, T., Chen, K., Corrado, G., & Dean, J. (2013). Efficient estimation of word representations in vector space. ArXiv Preprint ArXiv:1301.3781.
  36. 36Ogden, C. K., & Richards, I. A. (1923). The meaning of meaning: A study of the influence of thought and of the science of symbolism.
  37. 37Paivio, A. (1990). Mental representations: A dual coding approach. Oxford University Press. DOI: 10.1093/acprof:oso/9780195066661.001.0001
  38. 38Paivio, A., Yuille, J. C., & Madigan, S. A. (1968). CONCRETENESS, IMAGERY, AND MEANINGFULNESS VALUES FOR 925 NOUNS 1. Journal of Experimental Psychology Monograph Supplement, 76(1). DOI: 10.1037/h0025327
  39. 39Petilli, M. A., Günther, F., & Marelli, M. (2022). The Flickr Visual Frequency norms: what 17 years of images tagged online tell us about lexical processing. DOI: 10.31234/OSF.IO/H4Q86
  40. 40Petilli, M. A., Günther, F., Vergallito, A., Ciapparelli, M., & Marelli, M. (2021). Data-driven computational models reveal perceptual simulation in word processing. Journal of Memory and Language, 117, 104194. DOI: 10.1016/j.jml.2020.104194
  41. 41R Core Team. (2021). R: A Language and Environment for Statistical Computing. https://www.r-project.org/
  42. 42Reilly, J., & Kean, J. (2007). Formal distinctiveness of high-and low-imageability nouns: Analyses and theoretical implications. Cognitive science, 31(1), 157168. DOI: 10.1080/03640210709336988
  43. 43Saysani, A., Corballis, M. C., & Corballis, P. M. (2021). Seeing colour through language: Colour knowledge in the blind and sighted. Visual Cognition, 29(1), 6371. DOI: 10.1080/13506285.2020.1866726
  44. 44Schwanenflugel, 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. DOI: 10.1016/0749-596X(88)90022-8
  45. 45Schwanenflugel, P. J., & Stowe, R. W. (1989). Context availability and the processing of abstract and concrete words in sentences. Reading Research Quarterly, 114126. DOI: 10.2307/748013
  46. 46Shepard, R. N., & Cooper, L. A. (2017). Representation of Colors in the Blind, Color-Blind, and Normally Sighted. Psychological Science, 3(2), 97104. DOI: 10.1111/J.1467-9280.1992.TB00006.X
  47. 47Speed, L. J., & Brybaert, M. (2022). Dutch sensory modality norms. Behavior Research Methods, 54(3), 13061318. DOI: 10.3758/s13428-021-01656-9
  48. 48Toglia, M. P., & Battig, W. F. (1978). Handbook of semantic word norms. Lawrence Erlbaum.
  49. 49van Paridon, J., Liu, Q., & Lupyan, G. (2021). How do blind people know that blue is cold? Distributional semantics encode color-adjective associations. Proceedings of the Annual Meeting of the Cognitive Science Society, 43(43). DOI: 10.31234/osf.io/vyxpq
  50. 50Vergallito, A., Petilli, M. A., & Marelli, M. (2020). Perceptual modality norms for 1,121 Italian words: A comparison with concreteness and imageability scores and an analysis of their impact in word processing tasks. Behavior Research Methods. DOI: 10.3758/s13428-019-01337-8
  51. 51Vigliocco, G., Meteyard, L., Andrews, M., & Kousta, S. (2009). Toward a theory of semantic representation. Language and Cognition, 1(2), 219247. DOI: 10.1515/LANGCOG.2009.011
  52. 52Wingfield, C., & Connell, L. (2022). Sensorimotor distance: A grounded measure of semantic similarity for 800 million concept pairs. Behavior Research Methods, 1, 117. DOI: 10.3758/s13428-022-01965-7
  53. 53Yee, E. (2019). Abstraction and concepts: when, how, where, what and why? Language, Cognition and Neuroscience, 34(10), 12571265. DOI: 10.1080/23273798.2019.1660797
DOI: https://doi.org/10.5334/joc.328 | Journal eISSN: 2514-4820
Language: English
Submitted on: Nov 15, 2022
Accepted on: Oct 23, 2023
Published on: Jan 9, 2024
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2024 Marco A. Petilli, Marco Marelli, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.