This is a conference about making technology accessible, especially the web. It is an opportunity for programmers, designers, developers, students, usability professionals, accessibility experts, and end-users to share information and learn from each other.
2019 sponsors include my own program, INDEX, which has free information about programs, providers, and services for people with disabilities in Massachusetts. See DisabilityInfo.org. We build accessible web applications and online courses. See INDEX Technical Services. We also develop mass-scale, artificial-intelligence-driven Web text simplification for people with cognitive disabilities. See EasyText.AI.
For one of them, I will focus on the functions and activities of the Eunice Kennedy Shriver Center and its INDEX Program, which I direct, as part of a larger discussion about independent living, the Internet of Things, and AI for people with disabilities. This will include my EasyText.AI research.
These activities are arranged and sponsored by the:
The conference was great with accessibility. I was assigned an employee who guided me everywhere and was just wonderful. The conference website was accessible and easy to navigate. When I identified accessibility problems with the mobile app and with SageMaker tools, Amazon personnel immediately assured me they would be fixed.
The sponsorship included participation in the re:MARS VIP Leadership Networking Reception. I was honored to speak with members of Amazon leadership as well as senior researchers from industry and academia.
Make Web text so simple people understand it the first time they read it.
Text comprises the vast majority of Web content. Poor reading comprehension presents significant challenges to many populations, including people with cognitive disabilities, non‐native speakers, and people with low literacy.
Text simplification aims to reduce text complexity while retaining its meaning. Manual text simplification research has been ongoing for decades. Yet no significant effort has been made to automate text simplification except as a preprocessor for natural-language processing tasks such as machine translation and summarization.
In the short term, my partners and I are improving manual text simplification by creating effective, replicable methods for humans to produce it. We use national and international plain language standards. We conduct pilot studies to see if people comprehend our human-curated, simplified Web text better than typical Web text.
In the long term, my partners and I are developing artificial intelligence (AI) capabilities to produce simple Web text on a mass scale. We are training AI with enormous sets of aligned sentence pairs (typical/simple). We will soon start crowd-sourcing the generation of training data.