Eye Tracking Methodology: Theory and Practice
By Andrew T. Duchowski. Springer London, 2003
2,669 citations recorded by the source corpus.
Subfields: Human-Computer Interaction
View Paper: https://www.semanticscholar.org/paper/66a78ea7d0240ffb80826eebc9360270ed637826
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Human-Computer Interaction
- Andreas Bulling
- Päivi Majaranta
- Kenneth Holmqvist
- Qiang Ji
- Andrew T. Duchowski
- Marcus Nyström
- Chin-Chung Tsai
- Heimo Müller
Citations in the corpus
- Perceptual-cognitive expertise in sport: a meta-analysis. (2007, background): “Because the ability to extract information from the display is reduced during saccadic eye movements (Duchowski, 2002), one could argue that a strategy involving more fixations of shorter duration is less efficient and effective than one involving fewer fixations or longer duration (Williams et al.”
- A breadth-first survey of eye-tracking applications (2002, background): “Material in this paper is condensed from Duchowski (2003) , adapted with permission.”
- Understanding consumers' in-store visual perception: The influence of package design features on visual attention (2013, background): “The minimum numbers of video frames required to code as one fixation were three (120 ms), because human fixation duration has a range from 150 ms to 600 ms (Duchowski, 2003).”
- Eye Movement Analysis for Activity Recognition Using Electrooculography (2009, background): “Typical characteristics of saccadic eye movements are 20 degrees for the amplitude, and 10 to 100 ms for the duration [25].”
- The effect of involvement on visual attention and product choice (2015, background): “An eye-tracking device has the advantage in that it can capture top-down factors as well as bottom-up factors by providing objective and quantitative evidence of a person’s visual and attention processes (Duchowski 2007).”
- An Empirical Study of the Impact of Two Antipatterns, Blob and Spaghetti Code, on Program Comprehension (2011, background): “This design is a between-subject design [33] with a set of different groups of subjects, which allows us to avoid repetition by using a different group of subjects for each treatment.”
- In Google We Trust: Users' Decisions on Rank, Position, and Relevance (2007, methodology): “Before the actual experiment, the eye tracker was calibrated using a nine-point standard calibration procedure for each subject (Duchowski, 2003).”
- Eye Tracking in Neuromarketing: A Research Agenda for Marketing Studies (2015, background): “The different ET systems are able to estimate an eye’s point of attachment on a computer screen, or on the shelf of a supermarket, and may determine precisely where the user’s attention is directed (Duchowski, 2003).”
- How distinct are intuition and deliberation? An eye-tracking analysis of instruction-induced decision modes (2009, background): “Nevertheless , " in all eye-tracking work, a tacit but very important assumption is usually accepted: we assume that attention is linked to foveal gaze direction , but we acknowledge that it may not always be so " (Duchowski, 2007, p12). constraints.”
- Eye Tracking for Everyone (2016, background): “From human–computer interaction techniques [16, 23, 26] to medical diagnoses [12] to psychological studies [27] to computer vision [3, 18], eye tracking has applications in many areas [6].”
- Novel Eye Gaze Tracking Techniques Under Natural Head Movement (2007, background): “Various techniques [18], [19], [20], [21], [22], [23], [3], [17] have been proposed to perform the eye gaze estimation based on eye images captured by video cameras.”
- A review of using eye-tracking technology in exploring learning from 2000 to 2012 (2013, methodology): “Readers may find comprehensive overviews of the eye tracking methods and practices in some recently published books (e.g., Duchowski, 2007; Holmqvist et al., 2011; Liversedge et al., 2011).”
- Robustness and Precision : How Data Quality May Influence Key Dependent Variables in Infant Eye-Tracker Analyses (2014, neutral): “Most eye-trackers used in infant eye-tracking require three separate elements to be identified to estimate where an infant is looking: the position of the pupil, the reflection of a point-light that is projected from the eye-tracker on the infant’s eyeball, and the position of the infant’s head in 3”