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supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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id caadria2017_074
authors Erhan, Halil, Chan, Janelynn, Fung, Gilbert, Shireen, Naghmi and Wang, Ivy
year 2017
title Understanding Cognitive Overload in Generative Design - An Epistemic Action Analysis
source P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 127-136
summary Choice overload is experienced when designers use generative systems to explore a large number of alternatives. In an experiment, we studied the epistemic actions designers perform to reduce their cognitive load caused by possible choice overload during design exploration. The participants were asked to select alternatives among a large set of solutions in a simulated design environment. For data encoding, we adapted an epistemic action analysis method to understand which actions occurs in what phase of design. Most epistemic actions are observed during criteria applying phase. The most frequent actions were 'clustering and grouping' and 'talking and gestures to guide attention'. Ultimately our goal is to answer if a system can alleviate the possible cognitive overload when working with a large number of alternatives, if so how they would look when implemented.
keywords generative design; parametric modeling; cognitive overload; selection; epistemic actions
series CAADRIA
email herhan@sfu.ca
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