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Updated: Jun 3, 2026

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A Two-interval Forced-choice Task for Multisensory Comparisons
Published on: November 9, 2018
Extending the simultaneous-sequential paradigm to measure perceptual capacity for features and words
Alec Scharff1, John Palmer, Cathleen M Moore
1Department of Psychology, University of Washington, Seattle, WA 98195, USA. scharff@u.washington.edu
Summary
Divided attention impacts perceptual capacity differently across tasks. Contrast discrimination shows unlimited capacity, while word categorization exhibits fixed capacity, revealing distinct processing mechanisms.
Area of Science:
- Cognitive Psychology
- Perception Science
Background:
- Divided attention occurs when multiple stimuli require an observer's focus.
- Understanding perceptual capacity is crucial for explaining how attention influences processing.
- Existing methods for measuring perceptual capacity have limitations.
Purpose of the Study:
- To introduce an extended simultaneous-sequential paradigm to measure perceptual capacity under divided attention.
- To differentiate between fixed-capacity and unlimited-capacity models of attention.
- To investigate the effects of divided attention on contrast discrimination and word categorization tasks.
Main Methods:
- An extension of the simultaneous-sequential paradigm was developed.
- The paradigm was applied to contrast discrimination and word categorization tasks.
- Predictions for both fixed-capacity and unlimited-capacity models were generated.
Main Results:
- Contrast discrimination demonstrated unlimited perceptual capacity, suggesting independent, parallel processing.
- Word categorization showed nearly fixed perceptual capacity, consistent with serial or fixed-capacity parallel processing.
- The effects of divided attention varied significantly between the two tasks.
Conclusions:
- The extended paradigm effectively measures perceptual capacity under divided attention.
- Different tasks exhibit distinct attentional capacity characteristics.
- This approach offers a robust method for assessing perceptual capacity with minimal assumptions.

