Assessing the Readability of Web Search Results for Searchers with Dyslexia

Standards organizations, (e.g., the World Wide Web Consortium), are placing increased importance on the cognitive accessibility of online systems, including web search. Previous work has shown an association between query-document relevance judgments, and query-independent assessments of document readability. In this paper we study the lexical and aesthetic features of web documents that may underlie this relationship. Leveraging a data set consisting of relevance and readability judgments for 200 web pages as assessed by 174 adults with dyslexia and 172 adults without dyslexia, we answer the following research questions: (1) Which web page features are most associated with readability? (2) To what extent are these features also associated with relevance? And, (3) are any features associated with the differences in readability/relevance judgments observed between dyslexic and non-dyslexic populations? Our findings have implications for improving the cognitive accessibility of search systems and web documents.

[1]  M. Ivory,et al.  Preliminary Findings on Quantitative Measures for Distinguishing Highly Rated Information-Centric Web Pages , 2000 .

[2]  C. Michael Sperberg-McQueen,et al.  World Wide Web Consortium , 2009, Encyclopedia of Database Systems.

[3]  W. Bruce Croft,et al.  Quality-biased ranking of web documents , 2011, WSDM '11.

[4]  Frode Eika Sandnes,et al.  Do autocomplete functions reduce the impact of dyslexia on information‐searching behavior? The case of Google , 2016, J. Assoc. Inf. Sci. Technol..

[5]  Ryen W. White,et al.  Personalizing web search results by reading level , 2011, CIKM '11.

[6]  Frode Eika Sandnes,et al.  Searching databases without query-building aids: implications for dyslexic users , 2015, Inf. Res..

[7]  George Buchanan,et al.  Phonological working memory impacts on information searching: an investigation of dyslexia , 2012, IIiX.

[8]  Rachel M. Toplis,et al.  International Dyslexia Association , 2014 .

[9]  Areej Al-Wabil,et al.  Visual Analysis of Dyslexia on Search , 2017, CHIIR.

[10]  Ping Yan,et al.  Automatic Website Comprehensibility Evaluation , 2007, IEEE/WIC/ACM International Conference on Web Intelligence (WI'07).

[11]  Meredith Ringel Morris,et al.  Understanding the Needs of Searchers with Dyslexia , 2018, CHI.

[12]  Eugene Agichtein,et al.  Find it if you can: a game for modeling different types of web search success using interaction data , 2011, SIGIR.

[13]  Alexander Sergeev,et al.  Legibility of Textbooks: A Literature Review☆ , 2015 .

[14]  SandnesFrode Eika,et al.  Do autocomplete functions reduce the impact of dyslexia on information-searching behavior? The case of Google , 2016 .