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Exploring the efficacy of hybrid-sketch: an investigation into conceptual support in the early design stage
Zhejiang University, People’s Republic of China; Zhejiang University, People’s Republic of China.
Southeast University, People’s Republic of China.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.ORCID iD: 0000-0002-5150-9101
Zhejiang University, People’s Republic of China; Zhejiang University, People’s Republic of China.
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Number of Authors: 52024 (English)In: Journal of engineering design (Print), ISSN 0954-4828, E-ISSN 1466-1837Article in journal (Refereed) Epub ahead of print
Abstract [en]

Visual synthesis methods, such as sketch-based visual migration models, can generate creative inspiration while visually characterizing the target object. However, the cognitive impact and design performance of synthetic-sketches have received limited attention. This study examines the effectiveness of using synthetic-sketches generated through a visual migration model (Cycle-GAN) as a conceptual support tool in the early design phase. We aimed to understand its strengths by inviting 24 master's students with design backgrounds and digital drawing experience to experiment. The students were divided into two groups: one using synthetic-sketches and the other using product renderings as inspirational stimuli. Results indicated that the group using synthetic-sketches refined original concepts more deeply during concept generation and spent less time on conceptual innovation compared to the group using product renderings. This was attributed to the design behavior of modifying visual features and the perception that synthetic-sketches help test and refine concepts. Synthetic-sketches seem particularly suited to the later stages of individual sketching, aligning with the designer's reconstruction process. This study highlights the potential of synthetic-sketches supported by visual migration models as valuable tools in the early design phase. Further research could explore their wider application and strategies to maximize benefits.

Place, publisher, year, edition, pages
2024.
Keywords [en]
Concept, design congnition, inspiration
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:su:diva-232391DOI: 10.1080/09544828.2024.2365118ISI: 001242741000001Scopus ID: 2-s2.0-85195520314OAI: oai:DiVA.org:su-232391DiVA, id: diva2:1890029
Available from: 2024-08-19 Created: 2024-08-19 Last updated: 2024-08-19

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