mcanatalay / sta

Scanpath Trend Analysis

sta

Scanpath Trend Analysis (STA)

The STA algorithm analyses multiple user scanpaths on a particular web page and identifies the most commonly followed path as the trending path in terms of the visual elements of the page. Our relavant publications below:

1. Sukru Eraslan, Yeliz Yesilada, and Simon Harper. Scanpath Trend Analysis on Web Pages: Clustering Eye Tracking Scanpaths. ACM Transactions on the Web (Accepted for publication - http://tweb.acm.org/), 2016.
2. Sukru Eraslan, Yeliz Yesilada, and Simon Harper. 2016. Eye tracking scanpath analysis on web pages: how many users?. In Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications (ETRA '16). ACM, New York, NY, USA, 103-110.
3. Sukru Eraslan, Yeliz Yesilada, and Simon Harper. 2016. Trends in Eye Tracking Scanpaths: Segmentation Effect?. In Proceedings of the 27th ACM Conference on Hypertext and Social Media (HT '16). ACM, New York, NY, USA, 15-25.