Eye Tracking Methodology

By S. Hutton. Eye Movement Research, 2019

366 citations recorded by the source corpus.

Subfields: Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/cba36a3a0c3ff4b23e917d992b1c36d7aa6ae2d4

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

1. Kristina M. Reiss
2. Anselm R. Strohmaier
3. Steven G. Luke
4. Benjamin T. Carter
5. Kelsey J. MacKay
6. Andreas Obersteiner

Citations in the corpus

• Eye-tracking methodology in mathematics education research: A systematic literature review (2020, methodology): “Recent research showed that this assumption is a strong simplification and indicated that it does not hold rigorously (for a detailed review of research investigating the association between vision and attention, see Carrasco, 2011; see also Duchowski, 2007; Schindler & Lilienthal, 2019).”
• Best practices in eye tracking research. (2020, methodology): “For even more information see Duchowski (2017); Eckstein et al. (2017); Horn and Adamczyk (2012); Liversedge et al. (2011); Paxinos and Mai (2012); Wade and Tatler (2005).”