Beyond the linguistic channel: an eye-tracking investigation of multimodal pun comprehension

Although traditionally viewed as mere wordplay, punning is increasingly used in cognitive research to study how the brain simultaneously activates and shifts between multiple semantic frames. While previous research has mapped the mechanisms underlying unimodal (text-based or speech-based) puns, the cognitive mechanisms driving multimodal pun comprehension remain largely underexplored. Unlike their unimodal counterparts, multimodal puns require the cognitive system to coordinate visual and verbal resources to generate humor. Using stimuli that paired short texts with images, this eye-tracking study investigated how readers process homographic and homophonic multimodal puns compared to controls. Behavioral results revealed a humor facilitation effect: Multimodal puns elicited faster reaction times and higher humor ratings than controls. Furthermore, eye-tracking data indicated a strong “text-first” modality preference governed by the length of the postpun text and the spatial layout of the text and image. Linear mixed-effects models revealed significant interactions between Condition and pun Type. Homophonic puns placed immediate, localized demands on early lexical processing within the text, whereas homographic puns shifted processing effort toward late-stage visual inspection. These findings demonstrate that multimodal pun comprehension is a dynamic, multistage process of semantic anchoring and cross-modal integration, thereby extending cognitive linguistic models of humor into the multimodal domain.

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Publication Details

Journal
Discourse Processes
Published
2026-10-29
DOI
https://doi.org/10.1080/0163853x.2026.2748626
Primary Topic
Neurobiology of Language and Bilingualism
Type
article
Field-Weighted Citation Impact
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article

Beyond the linguistic channel: an eye-tracking investigation of multimodal pun comprehension

Yizhen Wang, Wei Zheng, Mengwei Zheng, Jinpeng Chen
Discourse Processes
Neurobiology of Language and Bilingualism
article

Beyond the linguistic channel: an eye-tracking investigation of multimodal pun comprehension

Yizhen Wang, Wei Zheng, Mengwei Zheng, Jinpeng Chen
article en

Abstract

Although traditionally viewed as mere wordplay, punning is increasingly used in cognitive research to study how the brain simultaneously activates and shifts between multiple semantic frames. While previous research has mapped the mechanisms underlying unimodal (text-based or speech-based) puns, the cognitive mechanisms driving multimodal pun comprehension remain largely underexplored. Unlike their unimodal counterparts, multimodal puns require the cognitive system to coordinate visual and verbal resources to generate humor. Using stimuli that paired short texts with images, this eye-tracking study investigated how readers process homographic and homophonic multimodal puns compared to controls. Behavioral results revealed a humor facilitation effect: Multimodal puns elicited faster reaction times and higher humor ratings than controls. Furthermore, eye-tracking data indicated a strong “text-first” modality preference governed by the length of the postpun text and the spatial layout of the text and image. Linear mixed-effects models revealed significant interactions between Condition and pun Type. Homophonic puns placed immediate, localized demands on early lexical processing within the text, whereas homographic puns shifted processing effort toward late-stage visual inspection. These findings demonstrate that multimodal pun comprehension is a dynamic, multistage process of semantic anchoring and cross-modal integration, thereby extending cognitive linguistic models of humor into the multimodal domain.

Discourse Processes
China Three Gorges University (CN), Zhengzhou University (CN)
Openalex Percentile: Top 14%
Neurobiology of Language and Bilingualism
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Beyond the linguistic channel: an eye-tracking investigation of multimodal pun comprehension — Yizhen Wang, Wei Zheng, et al. · Discourse Processes (2026) | TGRS Research Map | TGRS