Smart Automated Reading Assistant (SARA): A Knowledge-Based Authoring Tool for Literacy Instruction

Not Available The objective of the proposed effort is to determine the feasibility of squeezing a large schematic or diagram image onto a small physical display using a high-resolution area-of-interest in conjunction with warping of the remaining imagery. The resulting, hybrid image can then be viewed by maintenance personnel as they perform their tasks using portable computers. The specification of the area-of-interest size and shape, the algorithms used to warp the background, and the pointing methods used to interact with the images are collectively referred to as the EyeWarp system. This approach to economizing a large image is supported by our knowledge of how we view our visual world and our reliance on awareness of the entire scene. Analogously, the presence of the total image is important in maintaining awareness of what we are looking at, and where we are located in a large complex computer-based schematic or diagram. In Phase I, we will survey the range of maintenance schematics and diagrams and candidate portable displays, evaluate the feasibility of the EyeWarp concept, and perform a series of user experiments to identify parameters that optimize the usability of the concept. Evaluation of key area-of-interest and warping parameters will be accomplished using computer graphics and image processing software with a desktop monitor, as will the simulation of pointing and warping. Deliverables will include a final technical report and demonstration EyeWarp software.