Eye Tracking Scanpath Analysis Techniques on Web Pages: A Survey, Evaluation and Comparison

Date

2016-01-01

Author

Eraslan, Sukru
Yesilada, Yeliz
Harper, Simon

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Eye tracking has commonly been used to investigate how users interact with web pages, with the goal of improving their usability. This article comprehensively revisits the techniques that could be applicable to eye tracking data for analysing user scanpaths on web pages. It also uses a third-party eye tracking study to compare these techniques. This allows researchers to recognise existing techniques for their goals, understand how they work and know their strengths and limitations so that they can make an efficient choice for their studies. These techniques can mainly be used for calculating similarities/dissimilarities between scanpaths, computing transition probabilities between web page elements, detecting patterns in scanpaths and identifying common scanpaths. The scanpath analysis techniques are classified into four groups by their goals so that researchers can directly focus on the appropriate techniques for a sequential analysis of user scanpaths on web pages. This article also suggests dealing with the limitations of these techniques by pre-processing eye tracking data, considering cognitive processing and addressing their reductionist approach.

Subject Keywords

Common scanpaths, Pattern detection, Sequence analysis, Scanpath analysis techniques, Visual elements, Web pages, Eye movement sequence, Scanpath, Eye tracking

URI

https://hdl.handle.net/11511/66399

Journal

JOURNAL OF EYE MOVEMENT RESEARCH

Collections

Engineering, Article

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Eye Tracking Scanpath Analysis on Web Pages: How Many Users? Eraslan, Sukru; Yesilada, Yeliz; Harper, Simon (2016-03-17) The number of users required for usability studies has been a controversial issue over 30 years. Some researchers suggest a certain number of users to be included in these studies. However, they do not focus on eye tracking studies for analysing eye movement sequences of users (i.e., scanpaths) on web pages. We investigate the effects of the number of users on scanpath analysis with our algorithm that was designed for identifying the most commonly followed path by multiple users. Our experimental results su...
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Citation Formats

S. Eraslan, Y. Yesilada, and S. Harper, “Eye Tracking Scanpath Analysis Techniques on Web Pages: A Survey, Evaluation and Comparison,” JOURNAL OF EYE MOVEMENT RESEARCH, pp. 0–0, 2016, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/66399.