作者: Karni Gilon , Joel Chan , Felicia Y. Ng , Hila Liifshitz-Assaf , Aniket Kittur
关键词:
摘要: Finding analogical inspirations in distant domains is a powerful way of solving problems. However, as the number that could be matched and dimensions on which matching occur grow, it becomes challenging for designers to find relevant their needs. Furthermore, are often interested exploring specific aspects product-- example, one designer might improving brewing capability an outdoor coffee maker, while another wish optimize portability. In this paper we introduce novel system targeting search Specifically, contribute engine expressing abstracting design needs returns more yet than alternate approaches.