Pop-out search implies that the target is always the first item selected, no matter how many distractors are presented. However, increasing evidence indicates that search is not entirely independent of display density even for pop-out targets: search is slower with sparse (few distractors) than with dense displays (many distractors). Despite its significance, the cause of this anomaly remains unclear. We investigated several mechanisms that could slow down search for pop-out targets. Consistent with the assumption that pop-out targets frequently fail to pop out in sparse displays, we observed greater variability of search duration for sparse displays relative to dense. Computational modeling of the response time distributions also supported the view that pop-out targets fail to pop out in sparse displays. Our findings strongly question the classical assumption that early processing of pop-out targets is independent of the distractors. Rather, the density of distractors critically influences whether or not a stimulus pops out. These results call for new, more reliable measures of pop-out search and potentially a reinterpretation of studies that used relatively sparse displays. (PsycINFO Database Record
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http://dx.doi.org/10.1037/xge0000284 | DOI Listing |
Cognition
December 2024
School of Psychology, Liaoning Collaborative Innovation Center of Children and Adolescents Healthy Personality Assessment and Cultivation, Liaoning Normal University, Dalian 116029, China; School of Foreign Languages, Ningbo University of Technology, Ningbo 315211, China. Electronic address:
In a dynamic visual search environment, a synchronous and meaningless auditory signal (pip) that corresponds with a change in a visual target promotes the efficiency of visual search (pop out), which is known as the pip-and-pop effect. We conducted three experiments to investigate the mechanism of the pip-and-pop effect. Using the eye movement technique, we manipulated the interval rhythm (Exp.
View Article and Find Full Text PDFAtten Percept Psychophys
December 2024
School of Psychological Sciences, Tel Aviv, University, Tel Aviv, Israel.
Searching for a unique target is faster when its unique feature repeats than when it changes. The standard account for this priming-of-popout (PoP) phenomenon is that selecting a target increases the attentional priority of its features in subsequent searches. However, empirical tests of this priority account have yielded contradictory findings.
View Article and Find Full Text PDFG3 (Bethesda)
December 2024
Laboratory of the Physics of Biological Systems, Institute of Physics, École Polytechnique Federale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland.
Scar-less genome editing in budding yeast with elimination of the selection marker has many advantages. Some markers such as URA3 and TRP1 can be recycled through counterselection. This permits seamless genome modification with pop-in/pop-out (PIPO), in which a DNA construct first integrates in the genome and, subsequently, homologous regions recombine and excise undesired sequences.
View Article and Find Full Text PDFCereb Cortex
November 2024
Wilhelm-Wundt-Institut für Psychologie, Universität Leipzig, Neumarkt 9-19, 04109 Leipzig, Germany.
In visual search, the repetition of target and distractor colors enables both successful search and effective distractor handling. Nevertheless, the specific consequences of trial-to-trial feature repetition in different search contexts are poorly understood. Here, we investigated how feature repetition shapes the electrophysiological and behavioral correlates of target processing and distractor handling, testing theoretically informed predictions with single-trial mixed-effects modeling.
View Article and Find Full Text PDFCognition
January 2025
General and Experimental Psychology, Department of Psychology, LMU Munich, Munich, Germany.
People can learn and use both static and dynamic (cross-trial) regularities in the positioning of target items during parallel, 'pop-out' visual search. Static target-location learning also works in serial search, however, acquiring dynamic regularities is hindered by the demands of item-by-item scanning. Also, questions have been raised regarding whether explicit awareness is necessary for using dynamic regularities to optimize performance.
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