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dc.contributor.authorNichols, Jeffrey
dc.date.accessioned2020-02-17T15:02:23Z
dc.date.available2020-02-17T15:02:23Z
dc.date.issued2020-02-06
dc.identifier.urihttp://hdl.handle.net/1853/62456
dc.descriptionPresented on February 6, 2020 at 12:00 p.m. in the Technology Square Research Building, Banquet Hall.en_US
dc.descriptionJeffrey Nichols is a Staff Research Scientist at Google where he has led teams of 20 researchers and engineers working in the areas of machine intelligence, ambient user interfaces, and accessibility. Currently he works on the Fuchsia open source operating system.en_US
dc.descriptionRuntime: 54:51 minutesen_US
dc.description.abstractRico is a publicly available dataset of user interfaces from 9.7k Android apps produced in a collaboration between Google and UIUC. The dataset contains screenshots, user interface hierarchies, and interaction traces from approximately 72k unique screens across these apps, and was collected using a hybrid approach that employed both crowd workers and automated techniques. This talk will briefly describe the dataset, how it was collected, and some projects that were built using it. The focus will be on projects done at Google, but also touch on what others have done with the dataset since it was released publicly in 2017.en_US
dc.format.extent54:51 minutes
dc.language.isoen_USen_US
dc.relation.ispartofseriesGVU Brown Bagen_US
dc.subjectDataseten_US
dc.subjectMachine learningen_US
dc.subjectMobileen_US
dc.subjectUser interfaceen_US
dc.titleRico and Beyond: A Mobile App Dataset for Interaction Mining and Machine Learningen_US
dc.typeLectureen_US
dc.typeVideoen_US
dc.contributor.corporatenameGeorgia Institute of Technology. GVU Centeren_US
dc.contributor.corporatenameGoogle (Firm)en_US


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