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"Satisfaction" in search: Individuals' own search expectations predict their errors in multiple-target search
Cary Stothart1, James R Brockmole2
1US Army Research Institute for the Behavioral and Social Sciences, Alexandria, VA, USA.
Attention, Perception & Psychophysics
|June 23, 2019
Summary
People’s expectations about finding multiple targets influence their search behavior. Underestimating the likelihood of additional targets leads to search biases and missed items, explaining "satisfaction-of-search" errors.
Area of Science:
- Cognitive Psychology
- Visual Search Research
Background:
- The
- satisfaction-of-search
- phenomenon describes how finding one target can impair the detection of subsequent targets.
- Previous research lacked empirical evidence for the proposed cause: premature search cessation due to satisfaction.
- Alternative theories are considered, but the satisfaction-of-search hypothesis is re-examined.
Purpose of the Study:
- To investigate if expectations about multiple targets influence search biases.
- To determine if these search biases predict the rate of missed additional targets.
- To provide a mechanistic explanation for satisfaction-of-search errors.
Main Methods:
- Participants searched for one or two targets in visual displays.
- Trials varied: some completed search, others terminated after the first target.
- When trials terminated early, participants guessed if an additional target was present.
Main Results:
- Search time for the first target correlated inversely with expectations of a second target.
- Participants' expectations often underestimated the actual probability of multiple targets.
- Stronger individual
- one-target bias
- correlated with a higher likelihood of missing subsequent targets.
Conclusions:
- Search performance is influenced by an individual's expectations, formed from their own behavior.
- These expectations create biases that mechanistically explain
- satisfaction-of-search
- errors.
- This study offers a novel explanation for why multiple targets are missed in visual search tasks.