Comparing the effects of design interventions on the quality of design concepts as a reflection of ideation flexibility

Daniel Henderson, Kathryn Jablokow, Shanna Daly, Seda McKilligan, Eli Silk

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Various interventions (i.e., methods and tools that guide design work) have been developed to support successful idea generation in a design process. Our previous research explored the impacts of three such design interventions: cognitive-style based teaming, problem framing, and design heuristics. In this work, we looked across these interventions to compare their effects on students' design ideas. In particular, 966 design ideas collected from 152 undergraduate students in engineering and industrial design from two Midwestern universities were analyzed to investigate their quality with and without each design intervention. Statistically significant differences were observed for the teaming and problem framing interventions. This study has implications for design educators in how design interventions might be used to affect students' design solutions.

Original languageEnglish (US)
Title of host publication30th International Conference on Design Theory and Methodology
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Electronic)9780791851845
DOIs
StatePublished - Jan 1 2018
EventASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2018 - Quebec City, Canada
Duration: Aug 26 2018Aug 29 2018

Publication series

NameProceedings of the ASME Design Engineering Technical Conference
Volume7

Other

OtherASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2018
CountryCanada
CityQuebec City
Period8/26/188/29/18

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering
  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications
  • Modeling and Simulation

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