Akademik Veri Yönetim Sistemi
12th Turkish National Software Engineering Symposium, UYMS 2018, İstanbul, Türkiye, 10 - 12 Eylül 2018, cilt.2201, (Tam Metin Bildiri)
Eye tracking plays a key role in understanding user behaviours and usability studies. We have previously proposed an algorithm called STA (Scanpath Trend Analysis) that analyses multiple individual scanpaths on a web page to discover their trending path in terms of the areas of interest (AOIs) of the page. It provides a good understanding of how users interact with web pages in general. Our extensive previous work shows that this algorithm provides the most representative path of multiple users as its result is more similar to individual scanpaths in comparison with the results of other algorithms. However, its current implementation has no graphical user interface and provides a sequence of characters that represent AOIs. Some platform and modules should also be installed in advance to run it. To address these limitations, this paper presents a web-based visualisation tool for the STA algorithm called ViSTA. This tool allows researchers and practitioners to visualise individual scanpaths on a particular web page with gaze plots, visually draw AOIs, apply the STA algorithm, and visualise the result of the algorithm with an AOI graph. Our user evaluation shows that the workload is lower with the ViSTA tool compared to the current implementation of the STA algorithm.