Visual Search and Attention: Review A Signal Detection Theory Approach

By Preeti Verghese. 2001

333 citations recorded by the source corpus.

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Citations in the corpus

The Inclusive Classroom: The Effects of Color on Learning and Behavior (2011, background): “Verghese (2001) discusses the process of visual search and attention in regard to signal detection theory.”
A detection theory account of change detection. (2004, background): “Recently, a number of authors have criticized the HT explanation of visual search, arguing instead for the advantages offered by a detection theory account (Palmer et al., 2000; Verghese, 2001).”
State-of-the-Art in Visual Attention Modeling (2013, methodology): “[102] presented a stochastic model of visual attention based on the signal detection theory account of visual search and attention [155].”
Attentional modulation of visual processing. (2004, background): “…appearing against a blank background, a more ecologically relevant purpose is served by attentional selection, the selection of behaviorally relevant stimuli from among competing distracters (Duncan & Humphreys 1989, Palmer et al. 2000, Treisman & Gelade 1980, Verghese 2001, Wolfe et al. 1989).”
Guided Search 4.0: Current Progress With a Model of Visual Search (2007, unknown): “Note that GS4, to this point, is very similar to a signal detection theory (SDT) model (Cameron, Tai, Eckstein, & Carrasco, 2004; Palmer & McLean, 1995; Palmer, Verghese, & Pavel, 2000; Verghese, 2001).”
Visual attention: The past 25 years (2011, background): “In most human studies of visual search the role of attention has been inferred rather than directly manipulated, and only a few studies have taken into account basic visual and stimulus factors (e.g., Carrasco & Frieder, 1997; Carrasco et al., 1995; Carrasco, McLean, et al., 1998; Geisler & Chou, 19”
The effect of learning and search images on predator–prey interactions (2009, background): “search for defined targets among other distractions (Desimone 1998; Kastner and Ungerleider 2000; Verghese 2001).”
Visual search: a retrospective. (2011, background): “…article, which takes a different perspective than other thorough treatments of visual search (Findlay & Gilchrist, 2003; Nakayama & Martini, 2011; Verghese, 2001; Wolfe, 1998), in identifying the strategies and mechanisms that the brain utilizes to optimize visual search as well as discussing…”
Covert attention increases spatial resolution with or without masks: support for signal enhancement. (2002, background): “However, performance remains practically constant across set size when discriminability is high (Eckstein, Thomas, Palmer, & Shimozaki, 2000; Verghese, 2001).”
The Normalization Model of Attention (2009, methodology): “…the same period of time, the field of visual psychophysics has developed rigorous methods for measuring and characterizing the effects of attention on visual performance (Braun, 1998; Carrasco, 2006; Cavanagh and Alvarez, 2005; Sperling and Melchner, 1978; Verghese, 2001; Lu and Dosher, 2008).”
Computational visual attention systems and their cognitive foundations: A survey (2010, methodology): “SDT models which have been used to predict human performance for detection and localization of targets have been presented in [Palmer et al. 1993; Verghese 2001; Eckstein et al. 2000].”
Visual Clutter Causes High-Magnitude Errors (2006, background): “Under a broad range of conditions, increasing the number of distracting elements degrades both the accuracy and reaction time of performance [3,4].”