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Learning About Plant Intelligence from a Flying Plum Tree: Music Recommenders and Posthuman User Experiences
Malmö University, Internet of Things and People (IOTAP). Malmö University, Faculty of Culture and Society (KS), School of Arts and Communication (K3).ORCID iD: 0000-0003-1852-3937
Pennsylvania State University, United States.ORCID iD: 0000-0002-6864-6065
2022 (English)In: Academic Mindtrek '22: Proceedings of the 25th International Academic Mindtrek Conference, ACM Digital Library, 2022, p. 343-346Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

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.  

 

Place, publisher, year, edition, pages
ACM Digital Library, 2022. p. 343-346
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:mau:diva-56500DOI: 10.1145/3569219.3569388Scopus ID: 2-s2.0-85142633909ISBN: 978-1-4503-9955-5 (electronic)OAI: oai:DiVA.org:mau-56500DiVA, id: diva2:1717165
Conference
Academic Mindtrek 2022: 25th International Academic Mindtrek conference, Tampere Finland, November 16 - 18, 2022
Available from: 2022-12-07 Created: 2022-12-07 Last updated: 2024-02-05Bibliographically approved

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Ghajargar, Maliheh

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