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dc.contributor.advisorLieberman, Zach
dc.contributor.authorvan de Seyp, Vera
dc.date.accessioned2024-12-02T21:15:54Z
dc.date.available2024-12-02T21:15:54Z
dc.date.issued2024-09
dc.date.submitted2024-11-19T19:12:31.803Z
dc.identifier.urihttps://hdl.handle.net/1721.1/157735
dc.description.abstractThis thesis is an exploration for new tools for typography that investigates how emerging (AI) technologies can contribute to the type design practice in a meaningful way. I created computational design experiments focusing on three areas: (A) design automation, (B) interfacing, and (C) creative exploration. A lot of care has been put in understanding the current scene through expert interviews, workshops, talks and surveys. With pose estimation, generative visual AI, and large language models that operate on text, I explore whether typographic shapes can be created and manipulated with different modes of expression, in a playful, intuitive and collaborative way.
dc.publisherMassachusetts Institute of Technology
dc.rightsIn Copyright - Educational Use Permitted
dc.rightsCopyright retained by author(s)
dc.rights.urihttps://rightsstatements.org/page/InC-EDU/1.0/
dc.titleTomorrow's Typography
dc.typeThesis
dc.description.degreeS.M.
dc.contributor.departmentProgram in Media Arts and Sciences (Massachusetts Institute of Technology)
mit.thesis.degreeMaster
thesis.degree.nameMaster of Science in Media Arts and Sciences


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