Rico: A Mobile App Dataset for Building Data-Driven Design Applications

Chad Franzen
Chad Franzen
Joshua Hibschman
Joshua Hibschman
Jeffrey Nichols
Jeffrey Nichols

UIST '17: The 30th Annual ACM Symposium on User Interface Software and Technology Québec City QC Canada October, 2017, pp. 845-854, 2017.

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Abstract:

Data-driven models help mobile app designers understand best practices and trends, and can be used to make predictions about design performance and support the creation of adaptive UIs. This paper presents Rico, the largest repository of mobile app designs to date, created to support five classes of data-driven applications: design search...More

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