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A study was conducted to evaluate user performance and satisfaction in completion of a set of text creation tasks using three commercially available continuous speech recognition systems. The study also compared user performance on similar tasks using keyboard input. One part of the study (Initial Use) involved 24 users who enrolled, received training and carried out practice tasks, and then completed a set of transcription and composition tasks in a single session. In a parallel effort (Extended Use), four researchers used speech recognition to carry out real work tasks over 10 sessions with each of the three speech recognition software products. This paper presents results from the Initial Use phase of the study along with some preliminary results from the Extended Use phase. We present details of the kinds of usability and system design problems likely in current systems and several common patterns of error correction that we found.

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Software development tools primarily focus on supporting the technical work. Yet no matter the tools employed, the process followed, or the size of the team, important aspects of development are non-technical, and largely unsupported. For example, increasing distribution of development teams highlights the issues of coordination and cooperation. This paper focuses on one area: managing change requests. Interviews with industry and open-source programmers were used to create designs for the visual inspection of change requests. This paper presents fieldwork findings and two designs. We conclude by reflecting on the issues that task visualizations that support social inferences address in software development.