ImageSense: An Intelligent Collaborative Ideation Tool to Support Diverse Human-Computer Partnerships

Janin Koch, Nicolas Taffin, Michel Beaudouin-Lafon, Markku Laine, Andrés Lucero, Wendy E. Mackay

Research output: Contribution to journalConference articleScientificpeer-review

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Abstract

Professional designers create mood boards to explore, visualize, and communicate hard-to-express ideas. We present ImageCascade, an intelligent, collaborative ideation tool that combines individual and shared work spaces, as well as collaboration with multiple forms of intelligent agents. In the collection phase, ImageCascade offers fluid transitions between serendipitous discovery of curated images via ImageCascade, combined text- and image-based Semantic search, and intelligent AI suggestions for finding new images. For later composition and reflection, ImageCascade provides semantic labels, generated color palettes, and multiple tag clouds to help communicate the intent of the mood board. A study of nine professional designers revealed nuances in designers' preferences for designer-led, system-led, and mixed-initiative approaches that evolve throughout the design process. We discuss the challenges in creating effective human-computer partnerships for creative activities, and suggest directions for future research.
Original languageEnglish
Article number45
Number of pages27
JournalProceedings of the ACM on Human-Computer Interaction
Volume4
Issue numberCSCW1
DOIs
Publication statusPublished - 1 May 2020
MoE publication typeA4 Article in a conference publication

Keywords

  • creativity support tool
  • ideation
  • mood board design
  • agency

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  • Projects

    COMPUTED: Computational User Interface Design

    Oulasvirta, A., Kim, S., Dayama, N., Shiripour, M., Todi, K., Liao, Y., Koch, J., Nioche, A., Feit, A., Bruckner, L. & Leiva, L.

    27/03/201531/08/2020

    Project: EU: ERC grants

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