Conference Agenda
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Agenda Overview |
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D244: DESIGN COGNITION STUDIES
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Comparing neural patterns of high and low performers in adapted alternate-use design tasks for idea generation 1Mechanical and Industrial Engineering, University of Toronto, Canada; 2Psychological and Brain Sciences, Drexel University, United States of America This study examines neural differences between high- and low-performing designers using EEG. Participants viewed an image of IKEA furniture and created alternative designs. Performance was evaluated based on the composite of fluency, flexibility and originality scores. Results reveal that high-performing designers exhibited greater beta and gamma frequency band power in frontal and right-frontal regions compared to low-performers. Although these differences did not remain significant after multiple-comparison correction, their large effect sizes suggest meaningful neural distinctions. Neurocognitive assessment of generative AI on designers’ creative cognition: evidence from biologically inspired design tasks 1Indraprastha Institute of Information Technology Delhi, India; 2Politecnico di Milano, Italy Designers use GenAI tools during bioinspired design (BID) process to understand biological inspiration. We investigate the influence of using ChatGPT with BID on their creative thinking. We present BID stimuli to 30 designers in three modes: BID only, ChatGPT only, and BID + ChatGPT; and record their EEG data across four design phases. Their creativity is analyzed through convergent and divergent thinking (CT and DT), measured by average β and α TRP, respectively. Results show that BID stimuli’s influence on CT and DT is mode and phase dependent, indicating CT and DT as continuous processes. The impact of social condition on design cognition: a mixed-methods analysis of individual and group-based design processes School of Design, The Hong Kong Polytechnic University, Hong Kong S.A.R. (China) We examine how the social condition of work influences design cognition. By applying cognitive load theory, we explore that individual work fosters internal self-regulation and user-centered pragmatism, whereas group work creates the collaborative substitution paradox, in which digital resources supplant interaction, thus encouraging external regulation and experiential narratives. The findings suggest that social conditions act as a moderator of cognitive load, indicating that individual work is beneficial for deep learning, while structured group work help mitigate substitution effects. Structuring the design space while exploring it: a cognitive perspective on design space exploration Université de Bordeaux, ESTIA-Institute of Technology, EstiaR, France Design Space Exploration (DSE) supports the comparison of alternatives in complex, multi-objective problems. Despite advances in human-in-the-loop and visual analytics, most frameworks still assume a predefined design space. This paper reviews DSE and design cognition literature to reveal this conceptual gap and proposes a dynamic cognitive structure of the design space through an extended DSE framework, framing exploration as a co-evolution between cognition and representation. | ||
