Title: Genie: Input Retargeting on the Web through Command Reverse Engineering

Advisors: Andy Ko and James Fogarty

Abstract: Most web applications are designed as one-size-fits-all, despite considerable variation in people‚Äôs physical abilities, expertise, and other factors that impact interaction. For
example, some web applications require the use of a mouse, precluding use by many people with severe motor disabilities. Others may require laborious manual input that
a skilled developer could automate if the application were scriptable.

In this work, we present Genie, a system that automatically reverse engineers an abstract model of the underlying commands in a web application, then enables
interaction with that functionality through alternative interfaces and other input modalities (e.g., speech, keyboard, or command line input). Genie comprises an abstract model
of command properties, behaviors, and dependencies as well as algorithms that reverse engineer this model from an existing web application through static and dynamic program
analysis. We evaluate Genie by developing several interfaces that automatically add support for speech, keyboard, and command line input to arbitrary web applications.

Place: 
CSE 503
When: 
Wednesday, May 31, 2017 - 09:00 to 10:30