Journal article
Characterization of concept generation for engineering design through temporal brain network analysis
Design studies, v 76, p101044
01 Sep 2021
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
This research explores the effect of the structuredness of design concept generation techniques on temporal network neurocognition. Engineering graduate students (n = 30) completed three concept generation tasks using techniques with different levels of structuredness: brainstorming, morphological analysis, and TRIZ. Students' brain activation in their prefrontal cortex (PFC) was measured using functional near-infrared spectroscopy (fNIRS). The temporal dynamic of central regions in brain networks were compared between tasks. Central regions facilitate functional interaction and imply information flow through the brain. A consistent central region appears in the medial PFC. Consistent network connections occurred across both hemispheres suggesting a concurrent dual processing of divergent and convergent thinking. This study offers novel insights into the underlying neurophysiological mechanism when using these concept generation techniques. (C) 2021 Elsevier Ltd. All rights reserved.
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Details
- Title
- Characterization of concept generation for engineering design through temporal brain network analysis
- Creators
- Julie Milovanovic - Virginia TechMo Hu - Virginia TechTripp Shealy - Virginia TechJohn Gero - University of North Carolina at Charlotte
- Publication Details
- Design studies, v 76, p101044
- Publisher
- Elsevier
- Number of pages
- 33
- Grant note
- EEC-1929892; EEC-1929896 / National Science Foundation; National Science Foundation (NSF)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Psychological and Brain Sciences (Psychology)
- Web of Science ID
- WOS:000702913300007
- Scopus ID
- 2-s2.0-85112743587
- Other Identifier
- 991022156308104721
UN Sustainable Development Goals (SDGs)
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Source: SDGs in the Output
InCites Highlights
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Engineering, Manufacturing
- Engineering, Multidisciplinary