TY - GEN
T1 - Towards an information archetypes framework
T2 - ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC-CIE 2019
AU - Yi, Sue
AU - Lumbard, Kevin
AU - Damen, Nicole B.
AU - Germonprez, Matt
AU - Toh, Christine A.
N1 - Funding Information:
This material is based upon work supported by the Nebraska Research Initiative under Grant No. 4132080250 and the Alfred P. Sloan Foundation Digital Technology grant on Open Source Health and Sustainability, Number 8434 (https://sloan.org/grantdetail/8434). We would also like to thank the BRIDGE lab and our participants for their help in this project.
Funding Information:
This material is based upon work supported by the Nebraska Research Initiative under Grant No. 4132080250 and the Alfred P. Sloan Foundation Digital Technology grant on Open Source Health and Sustainability, Number 8434 (https://sloan.org/grant-
Publisher Copyright:
Copyright © 2019 ASME.
PY - 2019
Y1 - 2019
N2 - Across disciplines such as software engineering to architectural design, it is well acknowledged that the different types of information employed during the design process impacts the potential of the final design. However, a lack of understanding exists about how designers utilize and navigate the abundance of complex information types, making it difficult to develop design methodologies that support the development of competitive products and services. As part of an ongoing effort to develop an Information Archetypes Framework, this study focuses on identifying the emergence of information dimensions and archetypes during decision making. This was accomplished through a detailed analysis of interviews with designers who engage in open source work as part of their employment. The findings of this study provide empirical evidence of the types of information used during the design process, validates existing information archetypes, and identifies new archetypes that emerge from co-occurring information dimensions.
AB - Across disciplines such as software engineering to architectural design, it is well acknowledged that the different types of information employed during the design process impacts the potential of the final design. However, a lack of understanding exists about how designers utilize and navigate the abundance of complex information types, making it difficult to develop design methodologies that support the development of competitive products and services. As part of an ongoing effort to develop an Information Archetypes Framework, this study focuses on identifying the emergence of information dimensions and archetypes during decision making. This was accomplished through a detailed analysis of interviews with designers who engage in open source work as part of their employment. The findings of this study provide empirical evidence of the types of information used during the design process, validates existing information archetypes, and identifies new archetypes that emerge from co-occurring information dimensions.
KW - Conceptual design
KW - Design decision-making
KW - Information archetypes
KW - Information dimensions
KW - Open source
UR - http://www.scopus.com/inward/record.url?scp=85076439762&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85076439762&partnerID=8YFLogxK
U2 - 10.1115/DETC2019-97956
DO - 10.1115/DETC2019-97956
M3 - Conference contribution
AN - SCOPUS:85076439762
T3 - Proceedings of the ASME Design Engineering Technical Conference
BT - 31st International Conference on Design Theory and Methodology
PB - American Society of Mechanical Engineers (ASME)
Y2 - 18 August 2019 through 21 August 2019
ER -