The computational implementation of the landscape model: Modeling inferential processes and memory representations of text comprehension

Yuhtsuen Tzeng, Paul Van Den Broek, Panayiota Kendeou, Chengyuan Lee

Research output: Contribution to journalArticlepeer-review

38 Scopus citations

Abstract

The complexity of text comprehension demands a computational approach to describe the cognitive processes involved. In this article, we present the computational implementation of the landscape model of reading. This model captures both on-line comprehension processes during reading and the off-line memory representation after reading is completed, incorporating both memory-based and coherence-based mechanisms of comprehension. The overall architecture and specific parameters of the program are described, and a running example is provided. Several studies comparing computational and behavioral data indicate that the implemented model is able to account for cycle-by-cycle comprehension processes and memory for a variety of text types and reading situations.

Original languageEnglish (US)
Pages (from-to)277-286
Number of pages10
JournalBehavior Research Methods
Volume37
Issue number2
DOIs
StatePublished - May 2005

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