Title
Visual Analysis of Dyslexia on Search.
Abstract
A key problem in the field of search interfaces is dyslexic users interaction with the UI. Dyslexia is a widespread specific learning difficult (SpLD) (10% of any population is estimated to have this cognitive disability) which is under researched in the field of information retrieval. The focus here is an analysis of the User Interface (UI) for search, using visual analytical methods on eye tracking data to examine the difference between control and dyslexic searchers. We use a number of visual analytic methods including path similarity analysis (PSA) and clustering of time intervals to demonstrate both similarities and differences between the user groups. Observations of videos are used to augment the visualizations. Results demonstrate a clear difference between the user groups, and a clear memory effect on the user of search interfaces is shown -- this is a key contribution of this paper. We examine the results using of theories of dyslexia, contributing also to the field of dyslexia and search.
Year
DOI
Venue
2017
10.1145/3020165.3022134
CHIIR
Keywords
Field
DocType
Information Retrieval, Visual Analysis, Dyslexia
Similarity analysis,Population,Information retrieval,Computer science,Biological theories of dyslexia,Eye tracking,Artificial intelligence,Natural language processing,Cognitive disabilities,Cluster analysis,User interface,Dyslexia
Conference
Citations 
PageRank 
References 
6
0.51
8
Authors
5
Name
Order
Citations
PageRank
Andrew Macfarlane114817.18
George Buchanan21497159.05
Areej Al-Wabil35716.25
Gennady Andrienko43106208.19
Natalia Andrienko52922192.14