Trends in Eye Tracking Scanpaths: Segmentation Effect?

Eraslan, Sukru
Yesilada, Yeliz
Harper, Simon
Eye tracking has been widely used to investigate user interactions with the Web to improve user experience. In our previous work, we developed an algorithm called Scanpath Trend Analysis (STA) that analyses eye movement sequences (i.e., scanpaths) of multiple users on a web page and identifies their most commonly followed path in terms of the visual elements of the page. These visual elements are mainly the segments of a page generated by automated segmentation approaches. In our previous work, we also showed that the STA algorithm performs better than other existing algorithms in terms of providing the most representative scanpath of users. However, we did not know whether the validity of the algorithm is limited to a particular segmentation approach. In this paper, we investigate the effect of two different segmentation approaches on the STA algorithm. The results suggest that the validity of the algorithm is not affected by the segmentation approach used. Specifically, the resulting scanpath of the STA algorithm is the most representative scanpath of users in comparison with the resulting scanpaths of other existing algorithms regardless of the segmentation approach used.


Eye Tracking Scanpath Analysis Techniques on Web Pages: A Survey, Evaluation and Comparison
Eraslan, Sukru; Yesilada, Yeliz; Harper, Simon (2016-01-01)
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 ...
Predicting Trending Elements on Web Pages Using Eye-Tracking Data
Shekh Khalil , Naziha; Yeşilada, Yeliz; Eraslan, Şükrü; Computer Engineering (2022-8-31)
Eye-tracking data can be used to understand how users interact with web pages and such understanding can be facilitated for different purposes, for example, it can be used to support better accessibility for disabled users or better usability for all users. However, understanding the sequential behavior of a group of users is challenging from eye-tracking data because individual eye movement sequences, i.e. scanpaths, tend to be complicated and different from each other. Previous work proposes an algorithm ...
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...
Topcu, Osman; Orguner, Umut; Alatan, Abdullah Aydın; ERCAN, ALİ ÖZER (2014-04-25)
Visual tracking has an important place among computer vision applications. Visual tracking with particle filters is a well-known methodology. The performance of particle filters is dependent on efficient sampling of the state space, which in turn, is dependent on number of particles. In this paper, Rao-Blackwell technique is applied to particle filters to improve sampling efficiency. Both algorithms are applied to people tracking problem. Under the same circumstances, the resulting algorithm is demonstrated...
Use of large multi touch interfaces: a research on usability and design aspects
Dönmez, Mehmet; Çağıltay, Kürşat; Department of Information Systems (2015)
This study explores the design considerations and usability factors of using large multi touch interfaces. During this study, an experimental approach incorporating a large multi touch interfaces environment was used. After the expert analysis and pilot test session, there were end user usability test sessions. During the data collection from both expert and non-expert users, there were interview sessions. After collecting data, two different analysis methods were used, namely, analysis for eye movement dat...
Citation Formats
S. Eraslan, Y. Yesilada, and S. Harper, “Trends in Eye Tracking Scanpaths: Segmentation Effect?,” 2016, p. 15, Accessed: 00, 2020. [Online]. Available: