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Mixing it up: Intermixed and blocked visual search tasks produce similar results
Jeremy M Wolfe1,2, Injae Hong3,4, Ava A Mitra3
1Visual Attention Lab, Brigham and Women's Hospital, Boston, MA, 02135, USA. jwolfe@bwh.harvard.edu.
Attention, Perception & Psychophysics
|May 9, 2025
Summary
Visual search rules learned from blocked trials generalize to mixed search tasks. This finding supports the broad applicability of current visual search models, though challenges simple adaptive search termination theories.
Area of Science:
- Cognitive Psychology
- Visual Perception
- Human Factors
Background:
- Traditional visual search research relies on blocked trials, presenting the same target and distractors repeatedly.
- Real-world visual search involves diverse and rapidly changing targets and distractors.
- Existing models of visual search mechanisms are often based on blocked-trial data.
Purpose of the Study:
- To investigate whether visual search behavior differs between blocked and mixed trial conditions.
- To determine the generalizability of search rules derived from blocked trials to more realistic, mixed search scenarios.
- To test the validity of current visual search models under varied task demands.
Main Methods:
- Five experiments compared blocked and mixed visual search conditions.
- Tasks included feature search, varied distractors with a constant target, and constant distractors with varied targets.
- Participants performed tasks individually or chose their task on each trial.
Main Results:
- No qualitative differences in visual search behavior were observed between blocked and mixed conditions across all experiments.
- Search performance metrics, such as Reaction Time × Set Size functions, remained consistent regardless of trial arrangement.
- The findings indicate that search strategies are robust to changes in task predictability.
Conclusions:
- Rules of visual search derived from blocked trials appear to generalize well to mixed-task environments.
- Current understanding of visual search mechanisms is supported by the consistency of behavior across different experimental designs.
- Simple adaptive models of search termination may require refinement to account for the observed robustness of search behavior.

