Are Lemons Fast for People With Autism? Semantic and Perceptual Crossmodal Correspondences in Autism Beyond the Kiki–Bouba Effect
Are Lemons Fast for People With Autism? Semantic and Perceptual Crossmodal Correspondences in Autism Beyond the Kiki–Bouba Effect
StatusPost-Print
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Authors
Król, Magdalena
Tokarek, Agata
Król, Michał
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Date
2026-04-21
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Autism
Issue
7
Volume
30
Pages
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1895–1900
ISSN
1362-3613
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2026-10-23
Abstract PL
Abstract EN
Attenuated sound–shape matching in the classic Kiki–Bouba effect in autism has already been replicated in several studies, but it remains unclear whether this attenuation is confined to low-level multisensory integration or whether it reflects a broader reduction in crossmodal priors. In this pre-registered study, we tested 68 intelligence quotient (IQ)-matched participants (31 autistic, 37 typically developing) on four established crossmodal correspondence tasks that span perceptual to conceptual mappings: (1) “Fast lemons” (object–adjective), (2) sound–size pairings with Greebles, (3) kiki–bouba variants, and (4) color–taste matches. A generalized linear mixed-effects model showed a significant main effect of autism, indicating fewer theoretically congruent choices across all tasks. Target consistency increased with age, performance intelligence quotient (PIQ) and with an artificial intelligence (AI)-derived item-difficulty index. Random slopes revealed no task-by-diagnosis interaction, suggesting that diminished correspondence strength in autism generalizes across sensory and semantic domains. These results cautiously point to domain-general accounts, such as predictive-coding “hypo-priors,” over multisensory-specific explanations, and highlight crossmodal correspondences as an intriguing window into information processing in autism.
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Keywords PL
crossmodal correspondences
autism
Kiki-Bouba effect
hypo priors
multisensory processing
autism
Kiki-Bouba effect
hypo priors
multisensory processing
Keywords EN
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Sustainable Development Goals
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Góra- dół czy dół-góra? Bayesowskie podejście do postrzegania w autyzmie: słabe predykcje, wyższa wrażliwość zmysłowa czy oba te czynniki?
Wykorzystanie dużych modeli języka (LLM) i danych okulograficznych do modelowania procesów kształtowania się opinii i preferencji w toku czytania
Wykorzystanie dużych modeli języka (LLM) i danych okulograficznych do modelowania procesów kształtowania się opinii i preferencji w toku czytania
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2017/27/B/HS6/00169
1443-11
1443-11
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