ImageSense: An Intelligent Collaborative Ideation Tool to Support Diverse Human-Computer Partnerships
ImageSense: An Intelligent Collaborative Ideation Tool to Support Diverse Human-Computer Partnerships
复制标题
ImageSense：支持多样化人机合作的智能协作创意工具
DOI：
10.1145/3392850
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发表时间：
2020
影响因子：
--
通讯作者：
W. Mackay
中科院分区：
文献类型：
--
作者：
Janin Koch;Nicolas Taffin;M. Beaudouin;Markku Laine;A. Lucero;W. Mackay
专业设计师创建情绪板来探索，可视化和交流难以表达的想法。我们提出ImageCascade，一个智能的，协作的构思工具，结合个人和共享的工作空间，以及与多种形式的智能代理的协作。在收集阶段，ImageCascade提供了通过ImageCascade偶然发现策划图像，基于文本和图像的语义搜索组合以及寻找新图像的智能AI建议之间的流畅过渡。对于以后的合成和反射，ImageCascade提供了语义标签、生成的调色板和多个标签云，以帮助传达情绪板的意图。一项针对9名专业设计师的研究揭示了设计师对设计师主导、系统主导和混合主动方法的偏好的细微差别，这些方法在整个设计过程中不断演变。我们讨论了为创意活动创建有效的人机合作伙伴关系所面临的挑战，并为未来的研究提出了方向。
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.