Scanpath clustering and aggregation

Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research &Amp; Applications

2016

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 suggest that it is possible to approximate the same results with a smaller number of users. The results also suggest that more users are required when they serendipitously browse on web pages in comparison with when they search for specific information or items. We observed that we could achieve 75% similarity to the results of 65 users with 27 users for searching tasks and 34 users for browsing tasks. This study guides researchers to determine the ideal number of users for analysing scanpaths on web pages based on their budget and time.

Section: Related Workmentioning

confidence: 99%

Eye tracking scanpath analysis on web pages

Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research &Amp; Applications

2016

“…Moreover, the Dotplots-based algorithm was proposed to identify a common scanpath for multiple people [16]. This algorithm creates a hierarchical structure by combining a pair of scanpaths with the Dotplots algorithm.…”

Section: Related Workmentioning

confidence: 99%

“…The individual scanpaths are located at leafs whereas the common scanpath is located at the root. Some statistical methods have been applied to address the reductionist approach of the Dotplots algorithm [16].…”

Section: Related Workmentioning

confidence: 99%

Identifying Patterns in Eyetracking Scanpaths in Terms of Visual Elements of Web Pages

Lecture Notes in Computer Science

2014

Abstract. Web pages are typically decorated with different kinds of visual elements that help sighted people complete their tasks. Unfortunately, this is not the case for people accessing web pages in constraint environments such as visually disabled or small screen device users. In our previous work, we show that tracking the eye movements of sighted users provide good understanding of how people use these visual elements. We also show that people's experience in constraint environments can be improved by reengineering web pages by using these visual elements. However, in order to reengineer web pages based on eyetracking, we first need to aggregate, analyse and understand how a group of people's eyetracking data can be combined to create a common scanpath (namely, eye movement sequence) in terms of visual elements. This paper presents an algorithm that aims to achieve this. This algorithm was developed iteratively and experimentally evaluated with an eyetracking study. This study shows that the proposed algorithm is able to identify patterns in eyetracking scanpaths and it is fairly scalable. This study also shows that this algorithm can be improved by considering different techniques for pre-processing the data, by addressing the drawbacks of using the hierarchical structure and by taking into account the underlying cognitive processes.

“…Also, Dotplots-based algorithm which constructs a hierarchal structure by finding a common scanpath of two sequences with Dotplots algorithm was proposed [17]. The scanpaths are leafs and the common scanpath is the root of the hierarchal structure.…”

Section: What Are Some Current Approaches To This Problem?mentioning

confidence: 99%

Understanding Eye Tracking Data for Re-engineering Web Pages

Current Trends in Web Engineering

2013

Abstract. Existing re-engineering, namely transcoding, techniques improved disabled and mobile Web users experience by making Web pages more accessible in constrained environments such as on small screen devices and in audio presentation. However, none of these techniques use eye tracking data to transcode Web pages based on understanding and predicting users experience. The overarching goal is to improve the user experience in such constrained environments by using a novel application of eye tracking technology. Thus, this PhD research project aims to propose an algorithm to identify common scanpaths, which are eye movement sequences, and relating those scanpaths to elements of Web pages. It can then be used to transcode Web pages, for instance, unnecessary information can be removed. It is obvious that both visually disabled and mobile users would benefit from such development.