Triangulating front end engineering design activities with physiology data and psychological preferences

Martin Steinert, Kathryn Weed Jablokow

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

9 Scopus citations

Abstract

This paper presents the experimental foundation, methodology, and pilot data from an exploratory triangulation of front end engineering design activities with physiology data and psychological preferences. The aim is to gain more measurement control over engineering design activities by "opening the black box" of the designer's cognitive state (prevalent problem solving style and momentary cognitive load measured by means of physiology data) as he/she engages in different design activities (divergent engineering activity vs. convergent engineering activity). Ultimately, we intend to contribute to the design community's pressing need for design performance metrics that will allow the comparison of various engineering design activities. The aim is to understand and model the relationships between engineering design behavior (actual engineering activity), problem solving preference (individual psychological predisposition), and real-time physiological data of engineers (EEG, ECG, and other physiological telemetry data).

Original languageEnglish (US)
Title of host publicationProceedings of the 19th International Conference on Engineering Design
Subtitle of host publicationDesign for Harmonies, ICED 2013
Pages109-118
Number of pages10
Volume7 DS75-07
StatePublished - Dec 1 2013
Event19th International Conference on Engineering Design, ICED 2013 - Seoul, Korea, Republic of
Duration: Aug 19 2013Aug 22 2013

Other

Other19th International Conference on Engineering Design, ICED 2013
CountryKorea, Republic of
CitySeoul
Period8/19/138/22/13

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All Science Journal Classification (ASJC) codes

  • Modeling and Simulation
  • Engineering (miscellaneous)
  • Industrial and Manufacturing Engineering

Cite this

Steinert, M., & Jablokow, K. W. (2013). Triangulating front end engineering design activities with physiology data and psychological preferences. In Proceedings of the 19th International Conference on Engineering Design: Design for Harmonies, ICED 2013 (Vol. 7 DS75-07, pp. 109-118)