Faveeo is an aggregation tool that gives meaning to the mass of information generated by daily internet searches. Using intelligent filters, Faveeo returns useful articles and discoveries with smart, but unexpected content. For this project, EPFL+ECAL Lab proposed to rethink our relationship to information, as well as search and recommendation tools. In-depth user observations helped define key issues in these digital environments. The final outcome is a disruptive interface design, with several new features including a single window interface, adaptive on-boarding processing, a new search tool that avoids Boolean language and integrated feedback loops.
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EPFL+ECAL Lab 2017.
Research made with Renato Zülli & Andreas Sonderegger.