The Efficiency of a Feature-Net Model Occasionally Leads to Errors

question 15

Multiple Choice

The efficiency of a feature-net model occasionally leads to errors. We could avoid making word-recognition mistakes if we scrutinized each letter. Why is this a suboptimal strategy (and not the one we use) ?

• A) Reading would be very slow.
• B) We do not have the attentional resources to scrutinize every letter.
• C) The visual system would be overwhelmed.
• D) Letters are easy to discriminate from one another.

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