How explicit are we in a design meeting: Investigation on meeting knowledge structuring with design rationale

DS 87-6 Proceedings of the 21st International Conference on Engineering Design (ICED 17) Vol 6: Design Information and Knowledge, Vancouver, Canada, 21-25.08.2017

Year: 2017
Editor: Anja Maier, Stanko Škec, Harrison Kim, Michael Kokkolaras, Josef Oehmen, Georges Fadel, Filippo Salustri, Mike Van der Loos
Author: Dai, Xinghang; Velde, Frank
Series: ICED
Institution: University of Twente, The Netherlands
Section: Design Information and Knowledge
Page(s): 337-344
ISBN: 978-1-904670-94-0
ISSN: 2220-4342

Abstract

Knowledge management can improve a company's competitiveness by managing organisational knowledge as a company's capital. However, the knowledge produced in a meeting is hard to be captured due to its collective and volatile nature. In this paper, we want to zoom into the issue of knowledge management for design meetings. Since it is impossible for an individual to reconstruct the group decision making process without any personal bias, and designers are incapable or reluctant to document collectively their reasoning process during a meeting, we want to investigate the feasibility to reconstruct the design rationale of a naturalistic small group meeting, based on a collection of meeting recordings. We want to examine how much explicit knowledge can be extracted from our meeting data. A semantic network based design rationale model is proposed to classify the meeting data, and we will demonstrate the result of using design rationale as a knowledge representation for naturalistic design meeting, as well as the limit of this representation.

Keywords: Conceptual design, Decision making, Knowledge management, Investigation

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