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Web and creative collaborations: Two approaches

Web and creative collaborations: Two approaches. Bipin Indurkhya AGH University of Science and Technology, Cracow, Poland. Creativity as a collaborative process. Creative insights emerge from a number of independent agents interacting together We present two approaches that:

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Web and creative collaborations: Two approaches

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  1. Web and creative collaborations: Two approaches Bipin Indurkhya AGH University of Science and Technology, Cracow, Poland

  2. Creativity as a collaborative process • Creative insights emerge from a number of independent agents interacting together • We present two approaches that: • Incorporate collaborative interactions underlying creativity • Take advantage of web-based connectivity

  3. Approach 1: Exploring creativity in word-image associations • Two main characteristics of creativity: • Originality (novelty) • Intelligibility (usefulness, meaningfulness…) • Incorporate them in a crowd-computing platform

  4. SynAPP System(Joint work with Gael Abadin and J.C. Burguillo) • A platform where user can create ideas/artifacts (interpretations) • User can also judge appropriateness of (interpretations) created by other users • Originality (novelty) is determined by how uncommon is the (interpretation) • Provide visual feedback, and measure its impact on creativity score

  5. Task: Generate free association between pairs of images

  6. Evaluation of other user’s associations

  7. Evaluations of a user association

  8. Displaying feedback: Scatterplot

  9. Feedback: Chronological Display

  10. Impact on standard creativity scores • Users are given creativity tests on periodic intervals: • Word equation analysis test (Shortz & Worthy) • Alternative uses test (Guilford) • Property matching test (Wallach & Kogan) • Measure the change in these scores over time

  11. Approach 2: Use of WordNet to generate interpretation of visual metaphors(Joint work with R. Bhatt and A. Ojha) • Visual metaphors are pictorial metaphors based on perceptual similarities (shape, color,…) • The goal is to produce conceptual anchors based on perceptual similarities between two given pictures (source and target) • These conceptual anchors provide the conceptual interpretation of the visual metaphor

  12. Examples of visual metaphor interpretations • Becomes better as it grows old • Standing pillars of tradition • Beauty in taste • Taste of history • Tajfor eyes, wine for tongue • What a waste of time

  13. Finding common conceptual base of a given pair of perceptual features using WordNet

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