Human gaze control during real-world scene perception.
By J. Henderson. Trends in Cognitive Sciences, 2003
1,526 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Computer Vision and Pattern Recognition, Human-Computer Interaction
View Paper: https://www.semanticscholar.org/paper/0fddfba9d2da26515f6510c579ad7e1d40ec0bc1
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Keith Rayner
- Ali Borji
- Antonio Torralba
- J. Henderson
- Laurent Itti
- Tim J. Smith
- B. Tatler
- Dana H. Ballard
In Computer Vision and Pattern Recognition
- Kristen Grauman
- Luc Van Gool
- Antonio Torralba
- Ming-Hsuan Yang
- Li Fei-Fei
- Bernt Schiele
- Dacheng Tao
- Yi Yang
In Human-Computer Interaction
- Andreas Bulling
- Keith Rayner
- James M. Rehg
- Yin Li
- Ali Borji
- Miao Liu
- Kenneth Holmqvist
- Marianne Gullberg
Citations in the corpus
- Eye movements in natural behavior. (2005, background): “It appears that a large component of this variation depends on the particular information required for that point in the task, fixation being terminated when the particular information is acquired [4, 11,37].”
- Contextual guidance of eye movements and attention in real-world scenes: the role of global features in object search. (2006, background): “…have been shown to play a key role in modulating where attention and eye movement go (Chun & Jiang, 1998; Davenport & Potter, 2004; DeGraef, 1992; Henderson, 2003; Neider & Zelinski, 2006; Noton & Stark, 1971; Oliva, Torralba, Castelhano & Henderson, 2004; Palmer, 1975; Tsotsos, Culhane, Wai,…”
- Q-learning of sequential attention for visual object recognition from informative local descriptors (2005, background): “Recent research in neuroscience (Deco, 2004; Deubel, 2004) and experimental psychology (Henderson, 2003) has confirmed evidence that decision behavior plays a dominant role in human selective attention in object and scene recognition.”
- Brain basis of human social interaction: from concepts to brain imaging. (2009, methodology): “Additional useful methods include eye tracking (103), which provides information about the subject’s target of attention.”
- What do you see when you're surfing?: using eye tracking to predict salient regions of web pages (2009, background): “, about what is shown in the image and where to find specific objects) also play important roles in subsequent fixations [11, 22, 23].”
- Quiet Eye Training: Effects on Learning and Performance Under Pressure (2010, background): “Indeed, neuroscience research suggests that there is substantial overlap between the areas of the cortex involved in shifting gaze and shifting covert attention (eg, Corbetta, 1998 ; Shipp, 2004 ), and that it is difficult to shift the point of gaze without shifting attention ( Henderson, 2003 ).”
- You look where I look! Effect of gaze cues on overt and covert attention in misdirection (2009, background): “Traditionally, the debate about the factors responsible for fixation selection has centred on the bottom-up/top-down dichotomy (see Henderson, 2003 ), mirroring the issues that have been explored in visual search literature (see Wolfe & Horowitz, 2004 ).”
- Gaze Behavior and Visual Attention: A Review of Eye Tracking Studies in Aviation (2016, background): “In most circumstances, gaze behavior corresponds closely to the distribution of visual attention and visual processing across the visual field (Deubel & Schneider, 1996; Henderson, 2003).”
- Eye tracking studies of normative and atypical development (2007, background): “The advantage of these measures is that they can be used flexibly to address a variety of questions regarding scene perception (e.g., Henderson, 2003), attention (Bekkering & Neggers, 2002; Houtkamp & Roelfsema, 2005; McCarley, Wang, Kramer, Irwin, & Peterson, 2003), emergent literacy and language…”
- How are eye fixation durations controlled during scene viewing? Further evidence from a scene onset delay paradigm (2009, background): “Given that individual fixation durations are also partially under direct control during scene viewing, as shown here, current computational models of scene FIXATION DURATIONS IN SCENES 1079 perception need to be extended to explicitly account for fixation durations (Henderson, 2003, 2007).”
- Bayesian surprise attracts human attention (2005, background): “Beyond the early aforementioned studies comparing predictions of simple image processing metrics to human gaze patterns, a number of recent studies have further exploited such metrics under a wider variety of stimuli and behavioral conditions (Henderson, 2003; Tatler et al., 2005; Einhauser, Kruse, ”
- You-Do, I-Learn: Discovering Task Relevant Objects and their Modes of Interaction from Multi-User Egocentric Video (2014, background): “Importantly, studies of eye fixations during everyday tasks show substantial similarities in the locations and number of fixations by different operators, that gaze rarely visits irrelevant objects and that fixations precede actions [12, 14, 20].”
- In the Eye of Beholder: Joint Learning of Gaze and Actions in First Person Video (2018, background): “Around 25% [11] of our gaze within daily actions are saccades—rapid gaze jumps during which our vision system receives no inputs [3].”
- What speakers do and what addressees look at: visual attention to gestures in human interaction live and on video (2006, positive): “Such a strategy could be related to 'scene-schema knowledge', i.e. generic semantic and spatial knowledge about objects and regularities in a specific scene such as human interaction (Henderson 2003).”