September 2018
Volume 18, Issue 10
Open Access
Vision Sciences Society Annual Meeting Abstract  |   September 2018
Whereof one cannot speak: How language and capture of visual attention interact
Author Affiliations
  • Florian Goller
    University of Vienna
  • Soonja Choi
    University of ViennaSan Diego State University
  • Ulrich Ansorge
    University of Vienna
Journal of Vision September 2018, Vol.18, 472. doi:https://doi.org/10.1167/18.10.472
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      Florian Goller, Soonja Choi, Ulrich Ansorge; Whereof one cannot speak: How language and capture of visual attention interact. Journal of Vision 2018;18(10):472. https://doi.org/10.1167/18.10.472.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Using a contingent capture paradigm, we examined not only whether but also how deeply language influences visual perception. We tested native speakers of Korean and German, two languages that semantically categorize spatial relations in fundamentally different ways: German (similar to English) categorizes spatial relations based on containment (in) and support (auf), whereas Korean categorizes by – and thus semantically distinguish between - tight-fit (kkita) vs. loose-fit (nehta, nohta). We investigated whether participants' native language makes them more or less sensitive to features of visual stimuli that resemble tight-fit or loose-fit. We let Korean and German speakers search for a predefined colour target among distractors. Unbeknownst to the participants, targets were also implicitly signalled by features of a different sematic domain, i.e. spatial relations of tight-fit or loose-fit. We found that only Koreans spontaneously picked up on this implicit feature of spatial fitness (tight-fit or loose-fit) and used it to aid their search for targets. As these spatial concepts are not grammticalised in the German language, our results demonstrate that there is an influence of language-specific semantics of the native language on very basic processes of visual attention.

Meeting abstract presented at VSS 2018

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