Attentional Competition and Semantic Integration in Low- and High-Span Readers

Area of Science:

• Cognitive Psychology
• Reading Comprehension
• Human Memory

Background:

• Readers form predictions during text comprehension.
• Working memory capacity (WMC) influences cognitive processing.
• Distractive information can impede comprehension.

Purpose of the Study:

• Investigate distractive textual information's effect on predictive inference.
• Examine differences in online activation and text memory based on WMC.
• Test attentional competition (AC) and semantic integration (SI) hypotheses.

Main Methods:

• Conducted three experiments examining local and global predictions.
• Manipulated distractive textual information and assessed reader WMC.
• Analyzed the generation of predictions from critical event descriptions.

Main Results:

• Elaborating global narrative aspects reduced local predictions but increased global ones.
• Automatic prediction processes are constrained by distant context and WMC.
• Evidence supports immediate integration across sentence boundaries and processing level interactions.

Conclusions:

• Distractive information and WMC significantly impact predictive inference.
• Reading involves integrated local and global prediction processes.
• Findings support immediate integration and interaction models of text comprehension.