Scanpath Trend Analysis (STA)
The STA algorithm analyses multiple user scanpaths on a particular web page and identifies the most commonly followed path as trending path in terms of the visual elements of the page.
Our relevant publications are listed below.
Journal Papers:
- Sukru Eraslan, Yeliz Yesilada and Simon Harper. Scanpath Trend Analysis: Clustering Eye Tracking Scanpaths. ACM Transactions on the Web (SCI-E), vol. 10, no. 4, article 20, 2016.
Conference Papers:
- Sukru Eraslan, Yeliz Yesilada and Simon Harper. 2017 Engineering Web-based Interactive Systems: Trend Analysis in Eye Tracking Scanpaths with a Tolerance. In Proceedings of The 9th ACM SIGCHI Symposium on Engineering Interactive Computing Systems, EICS 2017. ACM, New York, NY, USA.
- 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.
- 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.
- Sukru Eraslan, Yeliz Yesilada and Simon Harper and Alan Davies. 2016. What is Trending in Eye Tracking Scanpaths on Web Pages? In Proceedings of Measuring Behavior 2016, MB 2016, Dublin, Ireland, 341-343.