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Detection of Appearing and Disappearing Objects in Complex Acoustic Scenes

Overview of attention for article published in PLOS ONE, September 2012
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Title
Detection of Appearing and Disappearing Objects in Complex Acoustic Scenes
Published in
PLOS ONE, September 2012
DOI 10.1371/journal.pone.0046167
Pubmed ID
Authors

Francisco Cervantes Constantino, Leyla Pinggera, Supathum Paranamana, Makio Kashino, Maria Chait

Abstract

The ability to detect sudden changes in the environment is critical for survival. Hearing is hypothesized to play a major role in this process by serving as an "early warning device," rapidly directing attention to new events. Here, we investigate listeners' sensitivity to changes in complex acoustic scenes-what makes certain events "pop-out" and grab attention while others remain unnoticed? We use artificial "scenes" populated by multiple pure-tone components, each with a unique frequency and amplitude modulation rate. Importantly, these scenes lack semantic attributes, which may have confounded previous studies, thus allowing us to probe low-level processes involved in auditory change perception. Our results reveal a striking difference between "appear" and "disappear" events. Listeners are remarkably tuned to object appearance: change detection and identification performance are at ceiling; response times are short, with little effect of scene-size, suggesting a pop-out process. In contrast, listeners have difficulty detecting disappearing objects, even in small scenes: performance rapidly deteriorates with growing scene-size; response times are slow, and even when change is detected, the changed component is rarely successfully identified. We also measured change detection performance when a noise or silent gap was inserted at the time of change or when the scene was interrupted by a distractor that occurred at the time of change but did not mask any scene elements. Gaps adversely affected the processing of item appearance but not disappearance. However, distractors reduced both appearance and disappearance detection. Together, our results suggest a role for neural adaptation and sensitivity to transients in the process of auditory change detection, similar to what has been demonstrated for visual change detection. Importantly, listeners consistently performed better for item addition (relative to deletion) across all scene interruptions used, suggesting a robust perceptual representation of item appearance.

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Geographical breakdown

Country Count As %
Germany 3 4%
United States 2 2%
Netherlands 1 1%
Italy 1 1%
United Kingdom 1 1%
Finland 1 1%
Canada 1 1%
Luxembourg 1 1%
Unknown 72 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 27 33%
Student > Ph. D. Student 17 20%
Student > Master 10 12%
Student > Bachelor 4 5%
Professor > Associate Professor 4 5%
Other 10 12%
Unknown 11 13%
Readers by discipline Count As %
Psychology 19 23%
Neuroscience 12 14%
Agricultural and Biological Sciences 8 10%
Medicine and Dentistry 7 8%
Engineering 5 6%
Other 13 16%
Unknown 19 23%