论文标题

psdoodle:通过部分屏幕doodle快速应用屏幕搜索

PSDoodle: Fast App Screen Search via Partial Screen Doodle

论文作者

Mohian, Soumik, Csallner, Christoph

论文摘要

目前,通过现有存储库进行特定的移动应用程序屏幕设计的搜索速度很慢或乏味。此类搜索要么仅限于基本关键字搜索(Google Image搜索),要么要求输入完整的查询屏幕映像(SWIRE)。一个有希望的替代方法是互动部分草图,它比关键字搜索更结构化,并且比完整屏幕查询更快。 PSDODLE是第一个通过交互式草图进行交互式搜索屏幕的系统。 PSDOODLE建立在大约58K Android应用程序屏幕的RICO存储库,Icon级doodles的Google QuickDraw数据集和Doodleuinet的顶部,这是从数百个人那里收集的一些10K应用图标的策划语料库。在我们与第三方软件开发人员进行评估时,PSDODELE提供了与Swire工作线相似的前10个屏幕检索准确性,同时削减了一半所需的平均时间。

Searching through existing repositories for a specific mobile app screen design is currently either slow or tedious. Such searches are either limited to basic keyword searches (Google Image Search) or require as input a complete query screen image (SWIRE). A promising alternative is interactive partial sketching, which is more structured than keyword search and faster than complete-screen queries. PSDoodle is the first system to allow interactive search of screens via interactive sketching. PSDoodle is built on top of a combination of the Rico repository of some 58k Android app screens, the Google QuickDraw dataset of icon-level doodles, and DoodleUINet, a curated corpus of some 10k app icon doodles collected from hundreds of individuals. In our evaluation with third-party software developers, PSDoodle provided similar top-10 screen retrieval accuracy as the state of the art from the SWIRE line of work, while cutting the average time required about in half.

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