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Related Experiment Video

Updated: Jul 19, 2026

Using Eye Movements to Evaluate the Cognitive Processes Involved in Text Comprehension
06:49

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Published on: January 10, 2014

Word selection in reading sentences: preceding versus following contexts

M C Potter1, D Stiefbold, A Moryadas

  • 1Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge 02139, USA. molly@psyche.mit.edu

Journal of Experimental Psychology. Learning, Memory, and Cognition
|January 24, 1998
PubMed
Summary

Researchers developed a double-word selection task to study lexical ambiguity during rapid sentence reading. Participants accurately chose the correct word, supporting a two-stage model of word perception.

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Area of Science:

  • Cognitive Psychology
  • Psycholinguistics
  • Human Information Processing

Background:

  • Lexical ambiguity resolution is crucial for sentence comprehension.
  • Previous models of word perception did not fully account for dynamic selection processes.
  • Rapid serial visual presentation (RSVP) offers a method to study immediate processing.

Purpose of the Study:

  • To introduce and validate a novel "double-word selection" task.
  • To investigate how readers resolve lexical ambiguity under time constraints.
  • To test the predictions of a two-stage modular interactive model of word perception.

Main Methods:

  • Utilized rapid serial visual presentation (RSVP) to display sentences at speeds of 133 or 150 ms/word.
  • Presented ambiguous "double-word" pairs for durations under 100 ms.
  • Assessed immediate sentence recall and word reporting accuracy across varied contextual delays.

Main Results:

  • Participants demonstrated high accuracy in selecting the correct word in the double-word pair, especially when context preceded the ambiguity.
  • Contextual information, even when delayed, aided in disambiguation.
  • Both words in the ambiguous pair were often recalled when processing was halted shortly after.

Conclusions:

  • The double-word selection task effectively simulates lexical ambiguity during reading.
  • Findings support and extend the two-stage modular interactive model to include word selection and disambiguation.
  • The model accurately predicts human performance in resolving lexical ambiguity in rapid sentence processing.