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Modeling the effects of irrelevant speech on memory.

¹Purdue University, West Lafayette, Indiana 47907-1364, USA. neath@psych.purdue.edu

Psychonomic Bulletin & Review

|November 18, 2000

Summary

This study extends the feature model to explain how irrelevant speech and articulatory suppression impact immediate serial recall by adding noise to memory. The model successfully predicts various effects, including the disruption caused by irrelevant speech.

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Area of Science:

Cognitive Psychology
Human Memory Research

Background:

The feature model (Nairne, 1990) provides a framework for understanding immediate serial recall.
Irrelevant speech and articulatory suppression are known to impair memory performance.

Purpose of the Study:

To extend the feature model to incorporate the effects of irrelevant speech and articulatory suppression on immediate serial recall.
To simulate and account for specific empirical findings related to these memory impairments.

Main Methods:

Extension of the feature model to include noise parameters for irrelevant speech and articulatory suppression.
Six computational simulations were conducted to test the model's predictions against existing data.

Main Results:

The extended feature model accurately predicts the impairment caused by both irrelevant speech and articulatory suppression.
The model accounts for the irrelevance of irrelevant speech content and increased disruption with varying tokens.
It also explains the abolition of phonological similarity, word length, and irrelevant speech effects under specific conditions.

Conclusions:

The extended feature model offers a robust explanation for the impact of irrelevant speech and articulatory suppression on immediate serial recall.
The model's success in simulations supports its validity in explaining memory interference phenomena.

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