Triangulating front end engineering design activities with physiology data and psychological preferences
Editor: Udo Lindemann, Srinivasan V, Yong Se Kim, Sang Won Lee, John Clarkson, Gaetano Cascini
Author: Steinert, Martin; Jablokow, Kathryn
Institution: 1: NTNU (Norwegian University of Science and Technology), Norway; 2: Penn State University, United States of America
lot 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 âopening the black boxâ of the designerâs 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 communityâs 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).