Abstract:
As a broad goal, I am interested in making computers more accessible both in environments where keyboard and mice are not tenable such as ubiquitous and mobile computing, and for people with special needs. As a first step in this direction, my thesis research focused on recognition-based interfaces. I believe that recognition-based user interfaces face significant usability problems due to recognition errors and ambiguity. Because the use of recognition is becoming more common, we need to make sure that the Human Computer Interaction community addresses these issues. My work is contributing to this effort. At this point, I have investigated the foundations of this area and built toolkit-level support for building interfaces to recognition systems and specifically for handling recognition errors. My thesis work combines two related themes. First, on the output side, it helps to give the user access to necessary information (such as possible recognition errors). Second, on the input side, it helps to allow users to communicate with computers even when traditional forms of input are not sufficient. These themes combine to address my larger goal of supporting natural and complex forms of communication between humans and computers that can rival the richness of human to human communication. I have investigated both of these themes in other projects throughout my research career. Some of my additional research includes work with ambient displays and work with assistive technology, for which I
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