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Cited by 1,618Multisensory perception and integrationTactile and Sensory InteractionsMultimodal Machine Learning Applications

The DOI matches its Crossref record; 253 of the 254 references it cites were found in a registry or an index.

Crossmodal correspondences: A tutorial review

Open access
Spence, Charles·2011·Attention, Perception, & Psychophysics
DOI 10.3758/s13414-010-0073-7
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Abstract

In many everyday situations, our senses are bombarded by many different unisensory signals at any given time. To gain the most veridical, and least variable, estimate of environmental stimuli/properties, we need to combine the individual noisy unisensory perceptual estimates that refer to the same object, while keeping those estimates belonging to different objects or events separate. How, though, does the brain "know" which stimuli to combine? Traditionally, researchers interested in the crossmodal binding problem have focused on the roles that spatial and temporal factors play in modulating multisensory integration. However, crossmodal correspondences between various unisensory features (such as between auditory pitch and visual size) may provide yet another important means of constraining the crossmodal binding problem. A large body of research now shows that people exhibit consistent crossmodal correspondences between many stimulus features in different sensory modalities. For example, people consistently match high-pitched sounds with small, bright objects that are located high up in space. The literature reviewed here supports the view that crossmodal correspondences need to be considered alongside semantic and spatiotemporal congruency, among the key constraints that help our brains solve the crossmodal binding problem.

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Research works printed but not linked: 15

  1. Bedford, F. L. (2001). Towards a general law of numerical/object identity. Cahiers de Psychologie Cognitive, 20, 113–175.
  2. Belli, F., & Sagrillo, F. (2001). Qual è Takete? Qual è Maluma? La psicolinguistica applicata alla comunicazione pubblicitaria [What is Takete? What is Maluma? Psycholinguistics applied to advertising] (2nd ed.). Milan: Franco Angeli.
  3. Berlin, B. (1994). Evidence for pervasive synthetic sound symbolism in ethnozoological nomenclature. In L. Hinton, J. Nicholls, & J. J. Ohala (Eds.), Sound symbolism (pp. 76–93). New York: Cambridge University Press.
  4. Gal, D., Wheeler, S. C., & Shiv, B. (2011). Cross-modal influences on gustatory perception. Manuscript submitted for publication. Available at http://ssrn.com/abstract=1030197
  5. Hinton, L., Nichols, J., & Ohala, J. J. (Eds.). (1994). Sound symbolism. Cambridge: Cambridge University Press.
  6. Jespersen, O. (1922). The symbolic value of the vowel i. Philologica, 1, 1–19.
  7. Köhler, W. (1929). Gestalt psychology. New York: Liveright.
  8. Kusnir, F., & Thut, G. (2010, June). When letters evoke colours: Probing for induction of synaesthetic behaviour in non-synaesthetes through explicit versus implicit grapheme–colour associations. Poster presented at the 11th International Multisensory Research Forum meeting, Liverpool, U.K.
  9. Maurer, D., & Mondloch, C. J. (2005). Neonatal synaesthesia: A reevaluation. In L. C. Robertson & N. Sagiv (Eds.), Synaesthesia: Perspectives from cognitive neuroscience (pp. 193–213). Oxford: Oxford University Press.
  10. Pan, J.-Y., Yang, H.-J., Faloutsos, C., & Duygulu, P. (2004). Automatic multimedia crossmodal correlation discovery. In Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 653–658). Seattle: ACM Press.
  11. Piesse, C. H. (1891). Piesse’s art of perfumery (5th ed.). London: Piesse and Lubin.
  12. Plato. (1961). In E. Hamilton & H. Cairns (Eds.), The collected dialogues. New York: Pantheon.
  13. Simner, J., & Ludwig, V. (2009). What colour does that feel? Cross-modal correspondences from touch to colour. Paper presented at the Third International Conference of Synaesthesia and Art, Granada, Spain, April.
  14. Spence, C. (2010). The color of wine—Part 1. The World of Fine Wine, 28, 122–129.
  15. Stumpf, K. (1883). Tonpsychologie I [Psychology of the tone]. Leipzig: Hirzel.

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Metadata

Authors
Spence, C.
Affiliations
University of Oxford (GB)
Corresponding author
Spence, Charles
ORCID
Spence, Charles
Venue
Attention, Perception, & Psychophysics
Publisher
Springer Science and Business Media LLC
Published
2011-01-19
Volume
73
Issue
4
Pages
971-995
ISSN
  • 1943-3921 (ISSN-L)
  • 1943-393X
DOI
10.3758/s13414-010-0073-7
OpenAlex
W2010927954
Cited by
1,618
References
254
Citations by year
2026: 144 · 2025: 121 · 2024: 128 · 2023: 139 · 2022: 109 · 2021: 124 · 2020: 125 · 2019: 160 · 2018: 123 · 2017: 98 · 2016: 79 · 2015: 95 · 2014: 65 · 2013: 58 · 2012: 33
FWCI
7.16
Type
journal article
Language
en
Open access
Licence
www.springer.com/tdm (tdm)
Locations
  • Attention Perception & Psychophysics (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Multisensory perception and integration
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Multimodal Machine Learning Applications
Keywords
cross-modal correspondence, multisensory integration, auditory-visual correspondence, semantic congruence, perceptual binding, feature binding
MeSH terms
Association, Attention, Auditory Perception, Bayes Theorem, Discrimination, Psychological, Humans, Psychophysics, Research, Symbolism, Time Perception, Visual Perception

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