(thesis advisor)Loretta Wolozin
(thesis advisor)Scott Pobiner
(thesis advisor)Louisa Campbell
(thesis advisor)Gabriel Gianordoli
(designer)Parsons the New School for Design. Design & Technology Dept.
May 13 2015
Designer's statement: The Autocomplete Archive collects daily Google Autocomplete predictions from different Google websites using different languages. Through a web application and a series of prints, it provides users with a macro-level comparison of the most popular search terms on Google, Google Images, and Youtube. It also allows people to find cultural differences or shared interests between languages and how see the popularity of a given term changes over time. By making this data more accessible, this project advocates for companies to open their user data for research purposes. Google search data can reveal habits of internet users on a global scale but, like most of the data collected by private companies, its access is limited. This document describes the process of making the Autocomplete Archive, from the technologies and barriers involved to the prototyping and user testing. At last, it lists possible improvements and future iterations for the tool.
Gabriel Gianordoli. Autocomplete Archive.
May 13 2015. Parsons School of Design MFA Design and Technology program theses; 2015. New School Archives and Special Collections Digital Archive
. Web. 17 Oct 2019
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