Conference proceeding
Characterization of Design Brain States Over Time When Using Morphological Analysis and TRIZ
Design Computing and Cognition'22, pp 269-285
01 Jan 2023
Abstract
In this paper, we explored changes in brain states over time while designers were generating concepts. Participants either used morphological analysis or TRIZ to develop a design concept for two design tasks. While designing, participants' brain activation in their prefrontal cortex (PFC) was monitored with a functional Near Infrared Spectroscopy machine. To identify variation in brain states, we analyzed changes in brain networks. Using k-mean clustering to classify brain networks for each task revealed four brain network patterns. While using morphological analysis, the occurrence of each pattern was similar along the design steps. For TRIZ, some brain states dominated depending on the design step. Drain states changes suggests that designers alternate engaging certain subregions of the PFC. This approach to studying brain behavior provides a more granular understanding of the evolution of design brain states over time. Findings add to the growing body of research exploring design neurocognition.
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Details
- Title
- Characterization of Design Brain States Over Time When Using Morphological Analysis and TRIZ
- Creators
- Julie Milovanovic - University of North Carolina at CharlotteJohn Gero - University of North Carolina at CharlotteTripp Shealy - Virginia TechMo Hu - Virginia Tech
- Contributors
- J S Gero (Editor) - University of North Carolina at Charlotte
- Publication Details
- Design Computing and Cognition'22, pp 269-285
- Publisher
- Springer Nature
- Number of pages
- 17
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Psychological and Brain Sciences (Psychology)
- Web of Science ID
- WOS:000963430900017
- Scopus ID
- 2-s2.0-85198899749
- Other Identifier
- 991022156317304721