TY - GEN
T1 - Design whodunit
T2 - ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2017
AU - Sonalkar, Neeraj
AU - Jablokow, Kathryn
AU - Edelman, Jonathan
AU - Mabogunje, Ade
AU - Leifer, Larry
N1 - Funding Information:
This research was funded by the National Science Foundation through ESD Grants #1635437 and #1635386.
Publisher Copyright:
Copyright © 2017 ASME.
PY - 2017
Y1 - 2017
N2 - This paper investigates the relationship between interaction behaviors and the cognitive characteristics of participating individuals in engineering design teams engaged in concept generation. Individual characteristics were measured using the Kirton Adaption-Innovation inventory (KAI), which assesses an individual's cognitive preference for structure in seeking and responding to change. Team interactions were measured using the Interaction Dynamics Notation (IDN), which allows interaction behaviors to be quantitatively analyzed. A correlation analysis revealed statistically significant correlations between individual characteristics and specific interaction behaviors, and ideation utterances. An interaction sequence analysis of the team data also revealed specific interaction sequences associated with greater probabilities of idea occurrence within the team. These findings serve as a first step towards building a cognitive-behavioral model of engineering design team performance.
AB - This paper investigates the relationship between interaction behaviors and the cognitive characteristics of participating individuals in engineering design teams engaged in concept generation. Individual characteristics were measured using the Kirton Adaption-Innovation inventory (KAI), which assesses an individual's cognitive preference for structure in seeking and responding to change. Team interactions were measured using the Interaction Dynamics Notation (IDN), which allows interaction behaviors to be quantitatively analyzed. A correlation analysis revealed statistically significant correlations between individual characteristics and specific interaction behaviors, and ideation utterances. An interaction sequence analysis of the team data also revealed specific interaction sequences associated with greater probabilities of idea occurrence within the team. These findings serve as a first step towards building a cognitive-behavioral model of engineering design team performance.
UR - https://www.scopus.com/pages/publications/85035344411
UR - https://www.scopus.com/pages/publications/85035344411#tab=citedBy
U2 - 10.1115/DETC2017-68239
DO - 10.1115/DETC2017-68239
M3 - Conference contribution
AN - SCOPUS:85035344411
T3 - Proceedings of the ASME Design Engineering Technical Conference
BT - 29th International Conference on Design Theory and Methodology
PB - American Society of Mechanical Engineers (ASME)
Y2 - 6 August 2017 through 9 August 2017
ER -