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12 - Meeting browsers and meeting assistants
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- By Steve Whittaker, University of California, USA, Simon Tucker, University of Sheffield, UK, Denis Lalanne, University of Fribourg, Switzerland
- Edited by Steve Renals, University of Edinburgh, Hervé Bourlard, Jean Carletta, University of Edinburgh, Andrei Popescu-Belis
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- Book:
- Multimodal Signal Processing
- Published online:
- 05 July 2012
- Print publication:
- 07 June 2012, pp 204-217
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- Chapter
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Summary
The previous chapter (Chapter 11) explained how user requirements directed our development of meeting support technology, more specifically meeting browsers and assistants. Chapters 3 to 9 discussed the enabling components, i.e. the multimodal signal processing necessary to build meeting support technology. In the following, we will present an overview of the meeting browsers and assistants developed both in AMI and related projects, as well as outside this consortium.
Introduction
Face-to-face meetings are a key method by which organizations create and share knowledge, and the last 20 years have seen the development of new computational technology to support them.
Early research on meeting support technology focused on group decision support systems (Poole and DeSanctis, 1989), and on shared whiteboards and large displays to promote richer forms of collaboration (Mantei, 1988, Moran et al., 1998, Olson et al., 1992, Whittaker and Schwarz, 1995, Whittaker et al., 1999). There were also attempts at devising methods for evaluating these systems (Olson et al., 1992). Subsequent research was inspired by ubiquitous computing (Streitz et al., 1998, Yu et al., 2000), focusing on direct integration of collaborative computing into existing work practices and artifacts. While much of this prior work has addressed support for real-time collaboration by providing richer interaction resources, another important research area is interaction capture and retrieval.
Interaction capture and retrieval is motivated by the observation that much valuable information exchanged in workplace interactions is never recorded, leading people to forget key decisions or repeat prior discussions.
11 - User requirements for meeting support technology
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- By Denis Lalanne, University of Fribourg, Switzerland, Andrei Popescu-Belis, Idiap Research Institute, Martigny, Switzerland
- Edited by Steve Renals, University of Edinburgh, Hervé Bourlard, Jean Carletta, University of Edinburgh, Andrei Popescu-Belis
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- Book:
- Multimodal Signal Processing
- Published online:
- 05 July 2012
- Print publication:
- 07 June 2012, pp 193-203
-
- Chapter
- Export citation
-
Summary
Many kinds of information technology can be used to make meetings more productive, some of which are related to what happens before and after meetings, while others are intended to be used during a meeting. Document repositories, presentation software, and even intelligent lighting can all play their part. However, the following discussion of user requirements will be restricted to systems that draw on the multimodal signal processing techniques described in the earlier chapters of this book to capture and analyze meetings. Such systems might help people understand something about a past meeting that has been stored in an archive, or they might aid meeting participants in some way during the meeting itself. For instance, they might help users understand what has been said at a meeting, or even convey an idea of who was present, who spoke, and what the interaction was like. We will refer to all such systems, regardless of their purpose or when they are used, as “meeting support technology.”
This chapter reviews the main methods and studies that elicited and analyzed user needs for meeting support technology in the past decade. The chapter starts by arguing that what is required is an iterative software process that through interaction between developers and potential users gradually narrows and refines sets of requirements for individual applications. Then, it both illustrates the approach and lays out specific user requirements by discussing the major user studies that have been conducted for meeting support technology.