EverVerse is a project, funded by the European Association for Digital Humanities, which synthesises perspectives from disciplines in the humanities and sciences to develop critical and creative explorations of poetry and poetic identity in the digital age. Deploying tools and methods from poetic theory, data analysis, and Natural Language Generation (the automatic production of natural language output from a non-linguistic data source), EverVerse uses data from quantified self (QS) devices to automatically generate and publish poetry which correlates to the wearer/poetís varying physical states.
A common idea found in different statements and theories of poetry presents the poet as a creative vessel or conduit, admitting the sensory input of the world into their bodies and minds, and producing poetic output in turn. Responding in literal fashion to this theory of poetic embodiment, EverVerse sends biometric data from a Fitbit fitness tracking device worn by the project PI/poet to its custom-built poetry generator. This generator utilises NLG techniques to output poetic text whose forma and content changes according to different physical sensations and experiences in the poetís waking and sleeping life. The resulting poetry is published in real time, and 24/7, on the projectís web application.
This paper will report on EverVerse as a work-in-progress: describing the technical and development work completed, while reflecting on the implications of the project for issues at the intersections of Medical and Digital Humanities, and in poetics, data, and embodiment. In addition, the presentation will describe deployments of the project in web, exhibition, and live contexts.