A breadth-first survey of eye-tracking applications
By Andrew T. Duchowski. Behavoir research methods, instruments & computers, 2002
1,097 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Human-Computer Interaction
View Paper: https://www.semanticscholar.org/paper/50e93184b55ddabdec237e8be5dc3a33e0462a61
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Luc Van Gool
- Ali Borji
- Ming-Hsuan Yang
- Xiaogang Wang
- Ming-Ming Cheng
- Dacheng Tao
- Trevor Darrell
- Bernt Schiele
In Human-Computer Interaction
- Andreas Bulling
- Ali Borji
- M. Wedel
- Rik Pieters
- Eyal M. Reingold
- Mackenzie G. Glaholt
- Päivi Majaranta
- Laurent Itti
Citations in the corpus
- Eye tracking for visual marketing (2008, background): “Recently, summaries of eye tracking research were provided by Duchowski (2002), and Wedel and Pieters (2007).”
- Human-Computer Interaction: Overview on State of the Art (2008, neutral): “pointer movement, blinking for clicking [45].”
- Sustainability in the Food Sector: A Consumer Behaviour Perspective (2011, background): “Eye-tracking studies (Duchowski, 2002) provide good insight into which aspects of a food package are best in attracting attention, but as they usually take place in a laboratory, their external validity is also questionable (mobile eye-trackers exist, but are of limited use for a number of reasons).”
- State-of-the-Art in Visual Attention Modeling (2013, background): “The interested reader is referred to [22], [23], [127] for eye movement studies and [24] for a breadth-first survey of eye tracking applications.”
- Multimodal Human Computer Interaction: A Survey (2005, methodology): “Gaze, defined as the direction to which the eyes are pointing in space, is a strong indicator of attention, and it has been studied extensively since as early as 1879 in psychology, and more recently in neuroscience and in computing applications [41].”
- Eye Movement Monitoring as a Process Tracing Methodology in Decision Making Research (2011, background): “…in the context of usability research, where the pattern of eye movements can yield insight into the processing steps taken by users (for a review of eye tracking in the field of usability see Ehmke & Wilson, 2007; for a more general review of eye tracking in applied contexts, see Duchowski, 2002).”
- Human computing and machine understanding of human behavior: a survey (2006, background): “The same is true for eye gaze tracking [15].”
- Visual attention for solving multiple-choice science problem: An eye-tracking analysis (2012, neutral): “Fixations occurred when a subject's gaze stabilized over at least 200 ms (Duchowski, 2002).”
- The cognitive processing of candidates during reading tests: Evidence from eye-tracking (2013, background): “Rayner (1998) reviews 100 years of research into reading using eye-tracking of various sorts, divided into three periods before we reach what Duchowski (2002) has called the current ‘fourth era’ distinguished by the possibility of interactivity.”
- Eye Tracking and Eye-Based Human–Computer Interaction (2014, background): “(4) Passive eye monitoring is useful for diagnostic applications in which the user’s visual behavior is only recorded and stored for later offline processing and analysis with no immediate reaction or effect on the user’s interaction with the world (Duchowski 2002).”