Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
PATTERNS IN EYETRACKING SCANPATHS AND THE AFFECTING FACTORS
Date
2015-11-01
Author
Eraslan, Sukru
Yesilada, Yeliz
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
175
views
0
downloads
Cite This
Web pages are typically decorated with different kinds of visual elements that help sighted people complete their tasks. Unfortunately, people accessing web pages in constrained environments, such as visually disabled and small screen device users, cannot benefit from them. 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 reengineering web pages by using these visual elements can improve people's experience in constrainted environments. However, in order to reengineering 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 can work well with different number of participants. We then extended our experiments to investigate the effects of the task, gender and familiarity factors on common scanpaths. The results suggest that these factors can cause some differences in common scanpaths. This study also suggests that this algorithm can be improved by considering different techniques for preprocessing the data, by addressing the drawbacks of using the hierarchical structure and by taking into account the underlying cognitive processes.
Subject Keywords
Reengineering
,
Commonality
,
Eyetracking
,
Scanpaths
,
Patterns
URI
https://hdl.handle.net/11511/65586
Journal
JOURNAL OF WEB ENGINEERING
Collections
Engineering, Article
Suggestions
OpenMETU
Core
Identifying Patterns in Eyetracking Scanpaths in Terms of Visual Elements of Web Pages
Eraslan, Sukru; Yesilada, Yeliz; Harper, Simon (2014-07-04)
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 reengineer...
Visual similarity for hdr images with applications to tone mapping
Aydınlılar, Merve; Akyüz, Ahmet Oğuz; Tarı, Zehra Sibel; Department of Computer Engineering (2021-2-15)
Assessing visual similarity between images is important for many computer vision applications. So far, investigations on visual similarity have been confined to low dynamic range images. However, recently, there is a growing interest to high dynamic range (HDR) imaging. In this thesis, the aim is to shed light on visual image similarity for HDR images by following an experimental approach. To this end, a user experiment is conducted through a novel web-based interface, in which the participants assess the p...
Shape descriptors based on intersection consistency and global binary patterns
Sivri, Erdal; Kalkan, Sinan; Department of Computer Engineering (2012)
Shape description is an important problem in computer vision because most vision tasks that require comparing or matching visual entities rely on shape descriptors. In this thesis, two novel shape descriptors are proposed, namely Intersection Consistency Histogram (ICH) and Global Binary Patterns (GBP). The former is based on a local regularity measure called Intersection Consistency (IC), which determines whether edge pixels in an image patch point towards the center or not. The second method, called Globa...
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 ...
Automatic identification and role detection of visual elements in web pages
Akpınar, Mehmet Elgin; Karagöz, Pınar; Yeşilada, Yeliz; Department of Computer Engineering (2014)
Web pages typically include many visual elements to support interaction with the user. However, if visual elements do not comply with web accessibility guidelines, they become inaccessible in alternative presentations, such as audio. This study presents an automatic role detection approach to identify visual elements in web pages and their roles. The system architecture has three major components: automatic identification of visual elements in web pages; automatic generation of heuristic rules from the know...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
S. Eraslan and Y. Yesilada, “PATTERNS IN EYETRACKING SCANPATHS AND THE AFFECTING FACTORS,”
JOURNAL OF WEB ENGINEERING
, pp. 363–385, 2015, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/65586.