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 language | English (US) |
|---|---|
| Title of host publication | Proceedings of the 19th International Conference on Engineering Design |
| Subtitle of host publication | Design for Harmonies, ICED 2013 |
| Pages | 109-118 |
| Number of pages | 10 |
| Volume | 7 DS75-07 |
| State | Published - Dec 1 2013 |
| Event | 19th International Conference on Engineering Design, ICED 2013 - Seoul, Korea, Republic of Duration: Aug 19 2013 → Aug 22 2013 |
Other
| Other | 19th International Conference on Engineering Design, ICED 2013 |
|---|---|
| Country | Korea, Republic of |
| City | Seoul |
| Period | 8/19/13 → 8/22/13 |
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All Science Journal Classification (ASJC) codes
- Modeling and Simulation
- Engineering (miscellaneous)
- Industrial and Manufacturing Engineering
Cite this
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Triangulating front end engineering design activities with physiology data and psychological preferences. / Steinert, Martin; Jablokow, Kathryn Weed.
Proceedings of the 19th International Conference on Engineering Design: Design for Harmonies, ICED 2013. Vol. 7 DS75-07 2013. p. 109-118.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Triangulating front end engineering design activities with physiology data and psychological preferences
AU - Steinert, Martin
AU - Jablokow, Kathryn Weed
PY - 2013/12/1
Y1 - 2013/12/1
N2 - 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).
AB - 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).
UR - http://www.scopus.com/inward/record.url?scp=84897616354&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84897616354&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84897616354
SN - 9781904670506
VL - 7 DS75-07
SP - 109
EP - 118
BT - Proceedings of the 19th International Conference on Engineering Design
ER -