Author: iamadmin

We are very pleased that our paper on integrating web page and eye tracking data driven approaches for automatic areas of interest detection has been published at ACM Transactions on the Web!

Sukru Eraslan, Yeliz Yesilada, and Simon Harper. 2020. “The Best of Both Worlds!”: Integration of Web Page and Eye Tracking Data Driven Approaches for Automatic AOI Detection. ACM Transactions on the Web (SCI-E), 14, 1, Article 1. DOI: 10.1145/3372497

Abstract: Web pages are composed of different kinds of elements (menus, adverts, etc.). Segmenting pages into their elements has long been important in understanding how people experience those pages and in making those experiences “better.” Many approaches have been proposed that relate the resultant elements with the underlying source code; however, they do not consider users’ interactions. Another group of approaches analyses eye movements of users to discover areas that interest or attract them (i.e., areas of interest or AOIs). Although these approaches consider how users interact with web pages, they do not relate AOIs with the underlying source code. We propose a novel approach that integrates web page and eye tracking data driven approaches for automatic AOI detection. This approach segments an entire web page into its AOIs by considering users’ interactions and relates AOIs with the underlying source code. Based on the Adjusted Rand Index measure, our approach provides the most similar segmentation to the ground-truth segmentation compared to its individual components.

We are very pleased that our paper on the exploration of the complexity and distinguishability of web pages for people with autism has been published at Universal Access in the Information Society!

Sukru Eraslan, Yeliz Yesilada, Victoria Yaneva and Le An Ha. 2020. “Keep it Simple!” An Eye-tracking Study for Exploring Complexity and Distinguishability of Web Pages for People with Autism. Universal Access in the Information Society (SCI-E, SSCI). DOI: 10.1007/s10209-020-00708-9

Abstract: A major limitation of the international well-known standard web accessibility guidelines for people with cognitive disabilities is that they have not been empirically evaluated by using relevant user groups. Instead, they aim to anticipate issues that may arise following the diagnostic criteria. In this paper, we address this problem by empirically evaluating two of the most popular guidelines related to the visual complexity of web pages and the distinguishability of web-page elements. We conducted a comparative eye-tracking study with 19 verbal and highly independent people with autism and 19 neurotypical people on eight web pages with varying levels of visual complexity and distinguishability, with synthesis and browsing tasks. Our results show that people with autism have a higher number of fixations and make more transitions with synthesis tasks. When we consider the number of elements which are not related to given tasks, our analysis shows that they look at more irrelevant elements while completing the synthesis task on visually complex pages or on pages whose elements are not easily distinguishable. To the best of our knowledge, this is the first empirical behavioural study which evaluates these guidelines by showing that the high visual complexity of pages or the low distinguishability of page elements causes non-equivalent experience for people with autism.

 

We have three papers presented at W4A2020 which are:

• Sukru Eraslan, Yeliz Yesilada, Victoria Yaneva and Simon Harper, Autism detection based on eye movement sequences on the web: a scanpath trend analysis approach, W4A ’20: Proceedings of the 17th International Web for All Conference, Article No.: 11 Pages 1–10, 2020,DOI: https://doi.org/10.1145/3371300.3383340 [Best Technical Paper].
• Waqar Haider and Yeliz Yesilada, Tables on the web accessible?: unfortunately not! W4A ’20: Proceedings of the 17th International Web for All Conference, Article No.: 7 Pages 1–5, 2020, DOI: https://doi.org/10.1145/3371300.3383349
• Simon Harper, Julia Mueller, Alan Davies, Hugo Nicolau, Sukru Eraslan, The case for ‘health related impairments and disabilities, W4A ’20: Proceedings of the 17th International Web for All Conference, Article No.: 2 Pages 1–7, 2020, DOI: https://doi.org/10.1145/3371300.3383335

We are very pleased that our paper on autism detection based on eye movement seqeuences on the web recieved the best technical paper award!

Our work on crowdsourcing eyetracking data presented at the Measuring Behaviour conference this year.

“Crowdsourcing a Corpus of Eye Tracking Data on Web Pages: A Methodology, S Eraslan, Y Yesilada, S Harper. Measuring Behavior 2018 “

We have two papers presented at UYMS 2018 which are:

• Şükrü Eraslan, Serkan Karabulut, Mehmet Can Atalay ve Yeliz Yeşilada. ViSTA: Visualisation of Scanpath Trend Analysis (STA).
• Hüseyin Ünlü ve Yeliz Yeşilada. Energy Efficient Mobile Web via Scripts&Stylesheets Based Transcoding

Full papers are available in the UYMS 2018 Proceedings.

We are very pleased that our first paper recieved the best technical paper award!

We have two papers presented at Web4All which are:

• Automatic Role Detection of Visual Elements of Web Pages for Automatic Accessibility Evaluation (Communication Paper); Carlos Duarte, Ana Salvado, Luis Carrico, LASIGE, Faculdade de Ciências da Universidade de Lisboa; M Elgin Akpinar, Yeliz Yesilada, Middle East Technical University.
• Detecting Autism Based on Eye-Tracking Data from Web Searching Tasks (Technical Paper); Victoria Yaneva, Le An Ha, Ruslan Mitkov, University of Wolverhampton; Sukru Eraslan, Yeliz Yesilada, Middle East Technical University.

We are very pleased to announce that our second paper received the best technical paper award!

We have two papers presented at the 11th National Conference on Software Engineering (UYMS 2017):

• The Effects of Web Page Design on Distribution of Users’ Interests: An Eye Tracking Study, presented by Sukru Eraslan.
• Saving Energy on Web Pages by Transcoding based on Scripts and Stylesheets, presented by Huseyin Unlu.

We are very happy to have our website released today!