{"content":[{"text":"Gallery D.C.: Design Search and Knowledge Discovery \n through Auto-created GUI Component Gallery","bbox":{"left":0.094296,"top":0.11105,"width":0.728144,"height":0.049226000000000006}},{"text":"CHUNYANG CHEN, Monash University, Australia \n SIDONG FENG and ZHENCHANG XING, Australian National University, Australia \n LINDA LIU, Google, China \n SHENGDONG ZHAO, NUS-HCI Lab, Singapore \n JINSHUI WANG, Fujian University of Technology, China \n Online communities like Dribbble and GraphicBurger allow GUI designers to share their design artwork \n and learn from each other. These design sharing platforms are important sources for design inspiration, \n but our survey with GUI designers suggests additional information needs unmet by existing design sharing \n platforms. First, designers need to see the practical use of certain GUI designs in real applications, rather than \n just artworks. Second, designers want to see not only the overall designs but also the detailed design of the \n GUI components. Third, designers need advanced GUI design search abilities (e.g., multi-facets search) and \n knowledge discovery support (e.g., demographic investigation, cross-company design comparison). This paper \n presents Gallery D.C. (http://mui-collection.herokuapp.com/), a gallery of GUI design components that harness \n GUI designs crawled from millions of real-world applications using reverse-engineering and computer vision \n techniques. Through a process of invisible crowdsourcing, Gallery D.C. supports novel ways for designers to \n collect, analyze, search, summarize and compare GUI designs on a massive scale. We quantitatively evaluate \n the quality of Gallery D.C. and demonstrate that Gallery D.C. offers additional support for design sharing and \n knowledge discovery beyond existing platforms. \n CCS Concepts: • Information systems → Data mining; • Human-centered computing → Systems and \n tools for interaction design; \n Additional Key Words and Phrases: Mobile Application; GUI Design; Object Detection; Multi-faceted Design \n Search; Design Demographics; Design Comparison \n ACM Reference Format: \n Chunyang Chen, Sidong Feng, Zhenchang Xing, Linda Liu, Shengdong Zhao, and Jinshui Wang. 2019. Gallery \n D.C.: Design Search and Knowledge Discovery through Auto-created GUI Component Gallery. Proc. ACM \n Hum.-Comput. Interact. 3, CSCW, Article 180 (November 2019), 22 pages. https://doi.org/10.1145/3359282","bbox":{"left":0.093613,"top":0.181111,"width":0.8141260000000001,"height":0.4430839999999999}},{"text":"180","bbox":{"left":0.938831,"top":0.430479,"width":0.04551799999999995,"height":0.025704000000000005}},{"text":"1 INTRODUCTION \n Graphical User Interface (GUI) design is a creative knowledge work. Design sharing is a routine \n activity through which design knowledge, creativity and aesthetics is exchanged among designers. \n GUI designs can be shared in the form of reusable design templates or design kits [1–3, 5, 7] (see","bbox":{"left":0.094296,"top":0.637159,"width":0.814572,"height":0.07167499999999993}},{"text":"Authors’ addresses: Chunyang Chen, Faculty of Information Technology, Monash University, Melbourne, Australia, \n chunyang.chen@monash.edu; Sidong Feng; Zhenchang Xing, Research School of Computer Science, Australian National \n University, Canberra, Australia, u6063820@anu.edu.au,zhenchang.xing@anu.edu.au; Linda Liu, Google, Beijing, China, \n lindahliu@google.com; Shengdong Zhao, NUS-HCI Lab, Singapore, Singapore, zhaosd@comp.nus.edu.sg; Jinshui Wang, \n corresponding author, Fujian University of Technology, Fuzhou, China, ymkscom@gmail.com.","bbox":{"left":0.094296,"top":0.718712,"width":0.813218,"height":0.07064500000000007}},{"text":"Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee \n provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and \n the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. \n Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires \n prior specific permission and/or a fee. Request permissions from permissions@acm.org. \n © 2019 Association for Computing Machinery. \n 2573-0142/2019/11-ART180 $15.00 \n https://doi.org/10.1145/3359282","bbox":{"left":0.093165,"top":0.800831,"width":0.815069,"height":0.11354100000000011}},{"text":"Proceedings of the ACM on Human-Computer Interaction, Vol. 3, No. CSCW, Article 180. Publication date: November 2019.","bbox":{"left":0.094296,"top":0.932613,"width":0.811414,"height":0.015298000000000034}}],"images_bbox":[],"images_bbox_not_text_overlap":[]}