Learning about Plant Intelligence from a Flying Plum Tree: Music Recommenders and Posthuman User Experiences

Maliheh Ghajargar, Jeffrey Bardzell

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Recommender Systems (RS) are used in many different applications such as ecommerce and for media streaming, including music. Recommenders not only help users discover new music, but they also help to create assemblages of songs into playlists. Intentionally or otherwise, playlists often manifest themes, that is, universal ideas that are expressed in particular songs, lyrics, or passages. In this paper we were interested to explore the capabilities of AI to introduce themes through generated playlists, them-selves seeded by the theme of plants. Taking a self-reflexive and user experience approach, we collaborated with AI to create four Plant Music playlists to subject ourselves to what came to refer to as a posthuman user experience.

Original languageEnglish (US)
Title of host publicationAcademic Mindtrek 2022 - Proceedings of the 25th International Academic Mindtrek Conference
PublisherAssociation for Computing Machinery
Pages343-346
Number of pages4
ISBN (Electronic)9781450399555
DOIs
StatePublished - Nov 16 2022
Event25th International Academic Mindtrek Conference, Academic Mindtrek 2022 - Tampere, Finland
Duration: Nov 16 2022Nov 18 2022

Publication series

NameACM International Conference Proceeding Series

Conference

Conference25th International Academic Mindtrek Conference, Academic Mindtrek 2022
Country/TerritoryFinland
CityTampere
Period11/16/2211/18/22

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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