Predicting risk of dyslexia with an online gamified test.

Dyslexia is a specific learning disorder related to school failure. Detection is both crucial and challenging, especially in languages with transparent orthographies, such as Spanish. To make detecting dyslexia easier, we designed an online gamified test and a predictive machine learning model. In a study with more than 3,600 participants, our model correctly detected over 80% of the participants with dyslexia. To check the robustness of the method we tested our method using a new data set with over 1,300 participants with age customized tests in a different environment -a tablet instead of a desktop computer- reaching a recall of over 78% for the class with dyslexia for children 12 years old or older. Our work shows that dyslexia can be screened using a machine learning approach. An online screening tool in Spanish based on our methods has already been used by more than 200,000 people.

Enabling web users and developers to script accessibility with Accessmonkey.

Efficient web access remains elusive for blind computer users. Previous efforts to improve web accessibility have focused on developer awareness, automated improvement, and legislation, but these approaches have left remaining concerns. First, while many tools can help produce accessible content, most are difficult to integrate into existing developer workflows and rarely offer specific suggestions that developers can implement. Second, tools that automatically improve web content for users generally solve specific problems and are difficult to combine and use on a diversity of existing assistive technology. Finally, although blind web users have proven adept at overcoming the shortcomings of the web and existing tools, they have been only marginally involved in improving the accessibility of their own web experience. In a step toward addressing these concerns, we have developed Accessmonkey, a common scripting framework that web users, web developers and web researchers can use to collaboratively improve accessibility. This framework advances the idea that Javascript and dynamic web content can be used to improve inaccessible content instead of being a cause of it. Using Accessmonkey, web users and developers on different platforms and with potentially different goals can collaboratively make the web more accessible. In this article, we first present the design of the Accessmonkey framework and offer several example scripts that demonstrate the utility of our approach. We conclude by discussing possible future extensions that will provide easy access to scripts as users browse the web and enable non-technical blind users to independently create and share improvements.