title: Inefficient conjunction search made efficient by concurrent spoken delivery of target identity.
abstract: Visual search based on a conjunction of two features typically elicits reaction times that increase linearly as a function of the number of distractors, whereas search based on a single feature is essentially unaffected by set size. These and related findings have often been interpreted as evidence of a serial search stage that follows a parallel search stage. However, a wide range of studies has been showing a form of blending of these two processes. For example, when a spoken instruction identifies the conjunction target concurrently with the visual display, the effect of set size is significantly reduced, suggesting that incremental linguistic processing of the first feature adjective and then the second feature adjective may facilitate something approximating a parallel extraction of objects during search for the target. Here, we extend these results to a variety of experimental designs. First, we replicate the result with a mixed-trials design (ruling out potential strategies associated with the blocked design of the original study). Second, in a mixed-trials experiment, the order of adjective types in the spoken query varies randomly across conditions. In a third experiment, we extend the effect to a triple-conjunction search task. A fourth (control) experiment demonstrates that these effects are not due to an efficient odd-one-out search that ignores the linguistic input. This series of experiments, along with attractor-network simulations of the phenomena, provide further evidence toward understanding linguistically mediated influences in real-time visual search processing.
authors.affiliation: Department of Psychology, Cornell University, Ithaca, NY 14853, USA. fr34@cornell.edu
authors.forename: Florencia
authors.initials: F
authors.lastname: Reali
authors.forename: Michael J
authors.initials: MJ
authors.lastname: Spivey
authors.forename: Melinda J
authors.initials: MJ
authors.lastname: Tyler
authors.forename: Joseph
authors.initials: J
authors.lastname: Terranova
mesh_terms: D001288:Attention; D006801:Humans; D008037:Linguistics; D015233:Models, Statistical; D011601:Psychophysics / Q000706:statistics & numerical data; D011930:Reaction Time; D013060:Speech; D014796:Visual Perception