Size Matters: Large Objects Capture Attention in Visual Search
نویسندگان
چکیده
منابع مشابه
Size Matters: Large Objects Capture Attention in Visual Search
Can objects or events ever capture one's attention in a purely stimulus-driven manner? A recent review of the literature set out the criteria required to find stimulus-driven attentional capture independent of goal-directed influences, and concluded that no published study has satisfied that criteria. Here visual search experiments assessed whether an irrelevantly large object can capture atten...
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A recent study has demonstrated that the mere organization of some elements in the visual field into an object attracts attention automatically [Kimchi, R., Yeshurun, Y., & Cohen-Savransky, A. (2007). Automatic, stimulus-driven attentional capture by objecthood. Psychonomic Bulletin & Review, 14(1), 166-172]. We tested whether similar results will emerge when the target is not a part of the obj...
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Extant models of visual attention predict that a salient element should produce a bottom-up activation leading to a stimulus-driven attentional capture (e.g. Cave, 1999). However, apart from onset, previous works manipulating set-size in visual search failed to provide empirical evidence for this kind of capture. By varying target-singelton distance method, based on a single set-size, we explor...
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Metric constraints are known to be highly discriminative for many objects, but if training is limited to data captured from a particular 3-D sensor the quantity of training data may be severly limited. In this paper, we show how a crucial aspect of 3-D information–object and feature absolute size–can be added to models learned from commonly available online imagery, without use of any 3-D sensi...
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ژورنال
عنوان ژورنال: PLoS ONE
سال: 2010
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0015293