Abstract
Meeting assistants pose some interesting and unique challenges to the enterprise of software design and evaluation. As the technology reaches greater levels of development, we must begin to consider methods of evaluation that reach beyond regarding meeting browsers as signal replay and information search tools, and begin to assess the dimensions in which meeting assistants and browsers can augment or hinder human cognition and interaction. Some of these dimensions are considered, inasmuch as they were encountered during development of the DARPA CALO Meeting Assistant and Meeting Browser.
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Ehlen, P., Fernandez, R., Frampton, M. (2008). Designing and Evaluating Meeting Assistants, Keeping Humans in Mind. In: Popescu-Belis, A., Stiefelhagen, R. (eds) Machine Learning for Multimodal Interaction. MLMI 2008. Lecture Notes in Computer Science, vol 5237. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85853-9_28
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DOI: https://doi.org/10.1007/978-3-540-85853-9_28
Publisher Name: Springer, Berlin, Heidelberg
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