IDENTIFYING SHARED UNDERSTANDING IN DESIGN USING DOCUMENT ANALYSIS

Design as a social activity characterized by information exchange, compromise and negotiation frames much of our understanding of the design process. At the heart of this social activity is the development of a shared understanding of the design problem. The design stakeholders jointly form a shared understanding through a process of defining the problem, exploring the space of solutions and searching for information. A shared understanding is a critical element in successful, collaborative design. This paper describes a formal approach for identifying shared understanding in design by analyzing the documentation. By mining the documentation for signatures of a shared understanding, specifically a common frame of reference and a similar voice, a shared language and vocabulary of the design could emerge. Information management tools built around the shared understanding would be more effective in directing and alerting the design team of relevant information.

[1]  Chris A McMahon,et al.  The influence of information technology in new product development: Observations of an empirical study of the access of engineering design information , 1997 .

[2]  Mark R. Cutkosky,et al.  SHARE: A Methodology and Environment for Collaborative Product Development , 1994, Int. J. Cooperative Inf. Syst..

[3]  Peter W. Foltz,et al.  An introduction to latent semantic analysis , 1998 .

[4]  Susan T. Dumais,et al.  Enhancing Performance in Latent Semantic Indexing (LSI) Retrieval , 1990 .

[5]  Louis L. Bucciarelli,et al.  Designing Engineers , 1994 .

[6]  Michael D. McNeese,et al.  Fitting Information Systems to Collaborating Design Teams , 1995, J. Am. Soc. Inf. Sci..

[7]  A. P. Jagodzinski,et al.  An ethnographic study of engineering design teams at Rolls-Royce Aerospace , 2000 .

[8]  Robert Tibshirani,et al.  An Introduction to the Bootstrap , 1994 .

[9]  Peter Lloyd,et al.  Storytelling and the development of discourse in the engineering design process , 2000 .

[10]  Michael D. McNeese,et al.  Fitting information systems to collaborating design teams , 1995 .

[11]  William S. Cooper,et al.  On selecting a measure of retrieval effectiveness , 1973, J. Am. Soc. Inf. Sci..

[12]  Julian Kilker,et al.  Conflict on collaborative design teams: understanding the role of social identities , 1999, IEEE Technol. Soc. Mag..

[13]  William S. Cooper,et al.  On selecting a measure of retrieval effectiveness part II. Implementation of the philosophy , 1973, J. Am. Soc. Inf. Sci..

[14]  Michael McGill,et al.  Introduction to Modern Information Retrieval , 1983 .

[15]  Gregory R. Olsen,et al.  Collaborative Engineering Based on Knowledge Sharing Agreements , 1995 .

[16]  T. Landauer,et al.  Indexing by Latent Semantic Analysis , 1990 .

[17]  Steve Culley,et al.  A method for the study of information use profiles for design engineers , 1999 .

[18]  Thomas G. Dietterich,et al.  A model of the mechanical design process based on empirical data , 1988, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[19]  D. Carr.  : Voices of the Mind: A Sociocultural Approach to Mediated Action , 1992 .