SemanticCollage: Enriching Digital Mood Board Design with Semantic Labels - Archive ouverte HAL Access content directly
Conference Papers Year : 2020

SemanticCollage: Enriching Digital Mood Board Design with Semantic Labels

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Janin Koch
  • Function : Author
  • PersonId : 741529
  • IdHAL : janin-koch
Andrés Lucero
  • Function : Author
Wendy E. Mackay

Abstract

Designers create inspirational mood boards to express their design ideas visually, through collages of images and text. They find appropriate images and reflect on them as they explore emergent design concepts. After presenting the results of a participatory design workshop and a survey of professional designers, we introduce SemanticCollage, a digital mood board tool that attaches semantic labels to images by applying a state- of-the-art semantic labeling algorithm. SemanticCollage helps designers to 1) translate vague, visual ideas into search terms; 2) make better sense of and communicate their designs; while 3) not disrupting their creative flow. A structured observation with 12 professional designers demonstrated how semantic labels help designers successfully guide image search and find relevant words that articulate their abstract, visual ideas. We conclude by discussing how SemanticCollage inspires new uses of semantic labels for supporting creative practice.
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Dates and versions

hal-03047463 , version 1 (08-12-2020)

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Janin Koch, Nicolas Taffin, Andrés Lucero, Wendy E. Mackay. SemanticCollage: Enriching Digital Mood Board Design with Semantic Labels. DIS '20 - Designing Interactive Systems Conference 2020, Jul 2020, Eindhoven, Netherlands. pp.407-418, ⟨10.1145/3357236.3395494⟩. ⟨hal-03047463⟩
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