Working Memory Capacity Predicts Selection and Identification Errors in Visual Search.

Area of Science:

• Cognitive Psychology
• Human Factors Engineering

Background:

• Public safety roles like radiology and baggage screening depend on accurate visual search for rare targets.
• Previous research linked working memory capacity (WMC) to visual search performance, particularly in low-prevalence scenarios.

Purpose of the Study:

• To investigate the relationship between WMC and visual search performance, differentiating between error types.
• To determine if WMC's influence on search performance varies with target prevalence.

Main Methods:

• Participants completed a visual search task while their reaction time and accuracy were recorded.
• Working memory capacity (WMC) was measured for each participant.
• Eye-tracking was utilized to distinguish between selection errors (failure to fixate) and identification errors (failure to recognize a fixated target).

Main Results:

• Working memory capacity (WMC) was confirmed to predict faster reaction times and higher hit rates.
• WMC influenced performance by reducing both selection errors and identification errors.
• Unlike prior studies, WMC's impact on visual search was observed consistently across various target prevalence rates.

Conclusions:

• Working memory capacity enhances visual search efficiency by improving target selection and identification.
• Higher WMC is associated with increased quitting thresholds, reducing selection errors.
• The benefits of higher WMC for visual search are robust and not limited to low-prevalence conditions.