Information handling behavior of designers during conceptual design: three experiments

iii I certify that I have read this dissertation and that in my opinion it is fully adequate, in scope and quality, as a dissertation for the degree of Doctor of Philosophy. I certify that I have read this dissertation and that in my opinion it is fully adequate, in scope and quality, as a dissertation for the degree of Doctor of Philosophy. I certify that I have read this dissertation and that in my opinion it is fully adequate, in scope and quality, as a dissertation for the degree of Doctor of Philosophy. Abstract This dissertation demonstrates an iterative Observe->Analyze->Intervene, design research methodology to incrementally improve the understanding and the support of information handling in the conceptual design process. It reports on two observational studies, based on the verbal protocol method, and an information management service. The first observational study is a detailed analysis of the questioning behavior of designers to understand information needs during a redesign task. This resulted in the design information framework, which classifies information that should be captured during a design process for effective reuse at a later date. This framework was used to develop an information management service called Dedal, a tool for indexing, modeling and retrieving design information. Observations from deployment and usage of Dedal lead to the second observational study. This was a study of the information handling behavior of individual designers doing short conceptual design tasks. This study resulted in the Information Handling Framework (IHF). The IHF is a framework for understanding information handling behavior during conceptual design. Some key observations from the use of this framework are: • designers move frequently between different types of information (on an average every 13 seconds), • they handle information about upto 40 concepts in one minute, • their ability to work fluidly and with ease while handling all types of information is essential during the conceptual design process, and • the points of transition between different information types are critical from the viewpoint of computational support. Deeper understanding of the information handling behavior is explained by means of detailed qualitative and quantitative results. The implications of these results towards the improvement in the understanding of the conceptual design process and the recommendations on the development of intuitive and integral information handling services are discussed. v Acknowledgements

[1]  Timothy D. Wilson,et al.  The Proper Protocol: Validity and Completeness of Verbal Reports , 1994 .

[2]  Catherine Baudin,et al.  Question-based Acquisition of Conceptual Indices for Multimedia Design Documentation , 1993, AAAI.

[3]  John C. Tang,et al.  VideoWhiteboard: video shadows to support remote collaboration , 1991, CHI.

[4]  Fred Lakin,et al.  Spatial Parsing for Visual Languages , 1986 .

[5]  William B. Rouse,et al.  System design: behavioral perspectives on designers, tools and organizations , 1987 .

[6]  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.

[7]  John C. Tang Listing, Drawing and Gesturing in Design: A Study of the Use of Shared Workspaces by Design Teams , 1989 .

[8]  Herbert A. Simon,et al.  The Sciences of the Artificial , 1970 .

[9]  N.F.M. Roozenburg,et al.  Models of the design process: integrating across the disciplines , 1991 .

[10]  Donald A. Schön,et al.  Design Theory and Methods — An Interdisciplinary Approach , 1989 .

[11]  Larry A. Stauffer An empirical study on the process of mechanical design , 1987 .

[12]  M. B. Waldron,et al.  Methods of Studying Mechanical Design , 1996 .

[13]  Erik K. Antonsson,et al.  Development and Testing of Hypotheses in Engineering Design Research , 1987 .

[14]  Nigel Cross,et al.  Engineering design methods , 1989 .

[15]  W. R. Spillers,et al.  Engineering Design, Conceptual Design, and Design Theory: A Report , 1993 .

[16]  J. Payne Thinking Aloud: Insights Into Information Processing , 1994 .

[17]  Catherine Baudin,et al.  Using Device Models to Facilitate the Retrieval of Multimedia Design Information , 1993, IJCAI.

[18]  M. E. Maron,et al.  An evaluation of retrieval effectiveness for a full-text document-retrieval system , 1985, CACM.

[19]  Larry Leifer,et al.  Conservation of design knowledge , 1989 .

[20]  Steven H. Kim Designing intelligence - a framework for smart systems , 1991 .

[21]  Sheri Sheppard,et al.  Interactive Multimedia Courseware and the Hands-on Learning Experience: An Assessment Study , 1996 .

[22]  Lucienne Blessing,et al.  A process-based approach to computer-supported engineering design , 1994 .

[23]  J. William Helton,et al.  An introduction to design , 1998 .

[24]  William R. Spillers,et al.  Tools for Expert Designers: Supporting Conceptual Design , 1989 .

[25]  Michael L. Begeman,et al.  gIBIS: a hypertext tool for exploratory policy discussion , 1988, CSCW '88.

[26]  David G. Ullman,et al.  A comparison of the results of empirical studies into the mechanical design process , 1988 .

[27]  Kathleen O'Shaughnessy,et al.  A systematic approach to conceptual engineering design , 1991 .

[28]  David G. Ullman,et al.  The information requests of mechanical design engineers , 1991 .

[29]  M. B. Waldron,et al.  A time sequence study of a complex mechanical system design , 1988 .

[30]  Jaan Valsiner,et al.  The Individual subject and scientific psychology , 1986 .

[31]  Earl R. Babbie,et al.  The practice of social research , 1969 .

[32]  Robert J Crutcher,et al.  Telling What We Know: The Use of Verbal Report Methodologies in Psychological Research , 1994 .

[33]  Raymonde Guindon,et al.  Designing the Design Process: Exploiting Opportunistic Thoughts , 1990, Hum. Comput. Interact..

[34]  Christopher Alexander Notes on the Synthesis of Form , 1964 .

[35]  Richard M. Tong,et al.  A knowledge representation for conceptual information retrieval , 1989, Int. J. Intell. Syst..

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

[37]  Chris A McMahon,et al.  The information requirements of engineering designers , 1992 .

[38]  Km Wallace,et al.  Detailed analysis of an engineering design project , 1987 .

[39]  David G. Ullman,et al.  Fundamental Processes of Mechanical Designers Based on Empirical Data , 1991 .

[40]  A. Newell ON THE ANALYSIS OF HUMAN PROBLEM SOLVING PROTOCOLS , 1966 .

[41]  Ömer Akin,et al.  How do Architects Design , 1978 .

[42]  Allen Newell,et al.  Human Problem Solving. , 1973 .

[43]  Thomas R. Gruber,et al.  Design Rationale Capture as Knowledge Acquisition , 1991, ML.

[44]  Ade Mabogunje,et al.  An Experimental Study of Design Information Reuse , 1996 .

[45]  Gary Perlman Descriptive Models of Cognitive Aspects of the Engineering Design Process , 1989 .

[46]  J. Dixon,et al.  Engineering Design , 2019, Springer Handbook of Mechanical Engineering.

[47]  K. A. Ericsson,et al.  Protocol Analysis: Verbal Reports as Data , 1984 .

[48]  A Study of the Information Handling . . . , .