"Keep it simple!": an eye-tracking study for exploring complexity and distinguishability of web pages for people with autism

Date

2020-02-03

Author

Eraslan, Sukru
Yesilada, Yeliz
Yaneva, Victoria
Ha, Le An

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

200
views

0
downloads

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.

Subject Keywords

Human-Computer Interaction, Computer Networks and Communications, Software, Information Systems

URI

https://hdl.handle.net/11511/67585

Journal

UNIVERSAL ACCESS IN THE INFORMATION SOCIETY

DOI

https://doi.org/10.1007/s10209-020-00708-9

Collections

Engineering, Article

Suggestions

OpenMETU
Core

Using social graphs in one-class collaborative filtering problem Kaya, Hamza; Alpaslan, Ferda Nur; Department of Computer Engineering (2009) One-class collaborative filtering is a special type of collaborative filtering methods that aims to deal with datasets that lack counter-examples. In this work, we introduced social networks as a new data source to the one-class collaborative filtering (OCCF) methods and sought ways to benefit from them when dealing with OCCF problems. We divided our research into two parts. In the first part, we proposed different weighting schemes based on social graphs for some well known OCCF algorithms. One of the weig...
Fuzzy querying im XML databases Üstünkaya, Ekin; Yazıcı, Adnan; Department of Computer Engineering (2004) Real-world information containing subjective opinions and judgments has emerged the need to represent complex and imprecise data in databases. Additionally, the challenge of transferring information between databases whose data storage methods are not compatible has been an important research topic. Extensible Markup Language (XML) has the potential to meet these challenges since it has the ability to represent complex and imprecise data. In this thesis, an XML based fuzzy data representation and querying s...
Investigation of the effects of structural characteristics of object-oriented software on fault-proneness Gölcük, Halit; Bilgen, Semih; Department of Electrical and Electronics Engineering (2014) This study investigates the effects of structural characteristics of object-oriented software, which are observable at the model level of the software developed by means of Unified Modeling Language (UML), on software quality, assessing quality in terms of fault-proneness. In the scope of this thesis study, real-time embedded software components developed by Aselsan, a leading defense industry company in Turkey, were analyzed. The correlation between software metrics measured from the UML models of the soft...
Scanpath Trend Analysis on Web Pages: Clustering Eye Tracking Scanpaths Eraslan, Sukru; Yesilada, Yeliz; Harper, Simon (Association for Computing Machinery (ACM), 2016-12-01) Eye tracking studies have widely been used in improving the design and usability of web pages and in the research of understanding how users navigate them. However, there is limited research in clustering users' eye movement sequences (i.e., scanpaths) on web pages to identify a general direction they follow. Existing research tends to be reductionist, which means that the resulting path is so short that it is not useful. Moreover, there is little work on correlating users' scanpaths with visual elements of...
Incremental view maintenance in object-oriented databases Alhajj, R; Polat, Faruk (Association for Computing Machinery (ACM), 1998-06-01) A database management system should support views to facilitate filtering of information in order to have only necessary and required information available to users with minimal delay Although a lot of research efforts concentrated on views within the conventional relational model, much more effort is required when object-oriented models are considered. However, supporting views is only a step forward in achieving the purpose that requires improving the performance of the system by considering incremental m...

Citation Formats

S. Eraslan, Y. Yesilada, V. Yaneva, and L. A. Ha, ““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, pp. 0–0, 2020, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/67585.