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Eye Tracking During Visually Situated Language Comprehension: Flexibility and Limitations in Uncovering Visual Context Effects

Eye Tracking During Visually Situated Language Comprehension: Flexibility and Limitations in Uncovering Visual Context Effects

Published on: November 30, 2018

Prediction during language comprehension: what is next?

Rachel Ryskin¹, Mante S Nieuwland²

¹Department of Cognitive and Information Sciences, University of California Merced, 5200 Lake Road, Merced, CA 95343, USA.

Trends in Cognitive Sciences

|September 13, 2023

Summary

Language prediction is key to understanding text, but the brain mechanisms are unclear. This review explores how context shapes predictions and identifies open questions for future research on language processing.

Keywords:

cognitive control individual variability language learning memory prediction

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Area of Science:

Cognitive Science
Psycholinguistics
Neuroscience

Background:

Incremental language comprehension relies heavily on prediction.
The cognitive architectures supporting prediction are not well understood.
Listeners and readers utilize diverse contextual information for predictions.

Purpose of the Study:

To review existing studies on prediction in language comprehension.
To explore the multifaceted nature of predictions during language processing.
To identify and discuss unresolved questions guiding future research into underlying mechanisms.

Main Methods:

Literature review of studies on prediction in language comprehension.
Analysis of how contextual information influences prediction generation.
Discussion of individual differences in predictive processing.

Main Results:

Listeners and readers generate varied predictions using contextual cues.
Individual differences, such as language experience, affect prediction strategies.
Several key questions remain regarding the necessity, origin, and relation of prediction to memory and production.

Conclusions:

Prediction is a complex cognitive process in language comprehension.
Further research is needed to elucidate the mechanisms and necessity of prediction.
Understanding prediction is crucial for a comprehensive model of language processing.