Visual Design Exploration with Crowd-Powered Parameter Analysis

DOI Web Site
  • KOYAMA Yuki
    Graduate School of Information Science and Technology, The University of Tokyo
  • SAKAMOTO Daisuke
    Graduate School of Information Science and Technology, The University of Tokyo
  • IGARASHI Takeo
    Graduate School of Information Science and Technology, The University of Tokyo

Bibliographic Information

Other Title
  • ヒューマンコンピュテーションによるパラメタ空間解析を用いた視覚デザイン探索
  • ヒューマンコンピュテーション ニ ヨル パラメタ クウカン カイセキ オ モチイタ シカク デザイン タンサク

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Abstract

Parameter tweaking is one of the fundamental tasks in the editing of visual digital contents, such as correcting photo color. A problem with parameter tweaking is that it often requires much time and effort to explore a high-dimensional parameter space. To facilitate such exploration, we first present a new technique to analyze a parameter space to obtain a distribution of human preference. Our technique uses crowdsourced human computation to collect data for analysis. As a result of this analysis, the user obtains a goodness function that computes the goodness value of a given parameter set. This goodness function enables two user interfaces for exploration: Smart Suggestion, which provides suggestions of preferable parameter sets, and VisOpt Slider, which interactively visualizes the distribution of goodness values on sliders and gently optimizes slider values while the user is editing. We applied our technique to four applications with different design parameter spaces.

Journal

  • Computer Software

    Computer Software 33 (1), 1_63-1_77, 2016

    Japan Society for Software Science and Technology

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