Judging the difficulty of perceptual decisions.

Area of Science:

• Cognitive Psychology
• Decision Science
• Neuroscience

Background:

• Accurate task difficulty estimation is crucial for planning, resource allocation, and performance prediction.
• Useful difficulty judgments must be obtainable without task completion.

Purpose of the Study:

• To investigate the cognitive processes underlying prospective difficulty judgments in a perceptual decision-making task.
• To determine how individuals estimate the ease of discriminating stimulus properties.

Main Methods:

• Participants judged which of two random-dot stimuli, varying in coherence (difficulty), would be easier to classify.
• Computational modeling was used to compare different strategies for difficulty judgment.

Main Results:

• Difficulty judgment accuracy increased with the difference in stimulus difficulty.
• Reaction times were influenced by stimulus difficulty, even when absolute difficulty was matched.
• A model where participants compare accumulated evidence between stimuli best explained the data.

Conclusions:

• Prospective difficulty judgments rely on comparing accumulated sensory evidence between options.
• Evidence accumulation models can be extended to explain judgments about future task difficulty, not just performance outcomes.