Abstract Intelligent assistive technology can greatly improve the daily lives of people with severe paralysis, who have limited communication abilities. People with motion impairments often prefer camera-based communication interfaces, because these are customizable, comfortable, and do not require user-borne accessories that could draw attention to their disability. We present an overview of assistive software that we specifically designed for camera-based interfaces such as the Camera Mouse, which serves as a mouse-replacement input system. The applications include software for text-entry, web browsing, image editing, animation, and music therapy. Using this software, people with severe motion impairments can communicate with friends and family and have a medium to explore their creativity. 1

Abstract—Context recognition is an essential aspect of intelligent systems and environments. In most cases, the recognition of a context of interest cannot be achieved in a single step. Between measuring a physical phenomenon and the estimation or recognition of what this phenomenon represents, there are several intermediate stages which require a significant computation. Understanding the resource requirements of these steps is vital to determine the feasibility of context recognition on a given device. In this paper, we propose an adaptive context-recognition architecture that accommodates uncertain knowledge to deal with sensed data. The architecture consists of an adaptation component that monitors the capability and workload of a device and dynamically adapts recognition accuracy and processing time. The architecture is implemented for an audio-based context recognition. A detail account of the tradeoff between recognition time and recognition accuracy is provided. Index Terms—Audio-signal processing, context awareness, context reasoning, context recognition, context-recognition accuracy, context-recognition time. I.

Abstract. We present a framework to adapt software to the needs of individuals with severe motion disabilities who use mouse substitution interfaces. Typically, users are required to adapt to the interfaces that they wish to use. We propose interfaces that change and adapt to the user and their individual abilities. The Hierarchical Adaptive Interface Layout (HAIL) model is a set of specifications for the design of user interface applications that adapt to the user. In HAIL applications, all of the interactive components take place on configurable toolbars along the edge of the screen. We show two HAIL-based applications: a general purpose web browser and a Twitter client.

Abstract. In this paper, we present RefLink, an interface that allows users to analyze the content of web page by dynamically linking to an online encyclopedia such as Wikipedia. Upon opening a webpage, RefLink instantly provides a list of terms extracted from the webpage and annotates each term by the number of its occurrences in the page. RefLink uses the text-to-speech interface to read out the list of terms. The user can select a term of interest and follow its link to the encyclopedia. RefLink thus helps the users to perform an informed and efficient contextual analysis. Initial user testing suggests that RefLink is a valuable web browsing tool, in particular for people with motion impairments, because it greatly simplifies the process of obtaining reference material and performing contextual analysis. 1