What attributes guide the deployment of visual attention and how do they do it?

By Jeremy M. Wolfe, Todd Horowitz. Nature Reviews Neuroscience, 2004

1,875 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Social Psychology

View Paper: https://www.semanticscholar.org/paper/74bd3bfd66c49d22bb1094ad4f7eb57d0f902523

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Citations in the corpus

A principled approach to detecting surprising events in video (2005, background): “Saliency models explain a wealth of psychophysical results on human visual search behavior [34, 37, 38], and have been shown to correlate with human eye movements over static images [25].”
Efficient Salient Region Detection with Soft Image Abstraction (2013, background): “A considerable amount of research in cognitive psychology [48] and neurobiology [18] has been devoted to discovering the mechanisms of visual attention in humans [38].”
Visual attention: The past 25 years (2011, background): “Indeed, some authors have proposed that an early stage of the search process is to select the subset of stimuli that contain at least one of the target’s features (e.g., Egeth, Virzi, & Garbart, 1984; McElree & Carrasco, 1999; Wolfe & Horowitz, 2004).”
Stochastic resetting and applications (2019, background): “ at random (which is equivalent to choosing a previously visited site with a probability proportional to the number of past visits to that site). The origin is a special site where, with probability 2[0;1] the walker stays there and with the complementary probability 1 , it either diuses (with proba”
Which Problems to Solve? Online Knowledge Sharing and Attention Allocation in Organizations (2014, background): “Longer problems take upmore space on the screen, dominating a provider’s field of vision and crowding out other stimuli (see Parkhurst, Law, & Niebur, 2002; Wolfe & Horowitz, 2004).”
Clustering of Gaze During Dynamic Scene Viewing is Predicted by Motion (2011, background): “static visual arrays and scenes have received a lot of attention (see [3, 4] for reviews), but very little is known about how we”
Do you like what you see? The role of first fixation and total fixation duration in consumer choice (2015, background): “…with value, such as visual attributes (e.g., Bialkova & van Trijp, 2011; Lohse, 1997; Milosavljevic et al., 2012; Navalpakkam et al., 2012; Wolfe & Horowitz, 2004), the place on the shelf (Chandon, Hutchinson, Bradlow, & Young, 2009), cultural norms (e.g., reading from left to right,…”
Bayesian surprise attracts human attention (2005, background): “We show that this definition derived from first principles presents key advantages over more ad-hoc formulations, typically relying on detecting outlier stimuli.”
A coherent computational approach to model bottom-up visual attention (2006, neutral): “Color is one of the major visual feature attractors (see [40] for a recent review of early visual features) and can efficiently guide the attention to the most salient areas of our visual field.”
Attention on autopilot: Past experience and attentional set (2006, background): “Much is known about the types of sets, or strategies, at the observers’ disposal (e.g., colour, orientation, or motion; see Wolfe & Horowitz, 2004, for a recent review), but less is known about how these sets are chosen.”
Center-surround divergence of feature statistics for salient object detection (2011, background): “The feature channels intensity, color, and orientation have been chosen since they belong to the basic features of the human attention system [26].”
Of Bits and Wows: A Bayesian Theory of Surprise with Applications to Attention (2009, methodology): “In the implementation used here, pyramids are computed for the following low-level visual features thought to guide human attention (Wolfe & Horowitz, 2004): (1) luminance; (2) red–green color opponency; (3) blue–yellow color opponency; (4) four oriented edge filters (using Gabor kernels) spanning…”
Global contrast based salient region detection (2011, background): “Visual saliency, being closely related to how we perceive and process visual stimuli, is investigated by multiple disciplines including cognitive psychology [26, 29], neurobiology [8, 22], and computer vision [17, 2].”
Modeling Search for People in 900 Scenes: A combined source model of eye guidance (2009, neutral): “Distinctive colour, motion, orientation, or size constitute the A C O M B I N E D S OU RC E M O D E L O F E Y E GU I DA N C E most common salient attributes, at least in simple displays (for a review, Wolfe & Horowitz, 2004).”
The neuropsychology of consumer behavior and marketing (2018, background): “In contrast, top- down attention is conscious, and information that is relevant to a consumer’s goals or expectation is given attentional priority/emphasized (Wolfe & Horowitz, 2004).”
Leveraging stereopsis for saliency analysis (2012, background): “While the role of stereoscopic disparity in the preattentive processing is still an ongoing research question, researchers consider stereoscopic disparity a probable attribute [40].”
The perception and categorisation of emotional stimuli: A review (2010, result): “With regard to the empirical evidence for a potential threat specificity in the visual search paradigm, results are quite mixed (Wolfe & Horowitz, 2004).”