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

Maliheh Ghajargar; Jeffrey Bardzell

doi:10.1145/3569219.3569388

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

Maliheh Ghajargar, Jeffrey Bardzell

College of Information Sciences and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

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 language	English (US)
Title of host publication	Academic Mindtrek 2022 - Proceedings of the 25th International Academic Mindtrek Conference
Publisher	Association for Computing Machinery
Pages	343-346
Number of pages	4
ISBN (Electronic)	9781450399555
DOIs	https://doi.org/10.1145/3569219.3569388
State	Published - Nov 16 2022
Event	25th International Academic Mindtrek Conference, Academic Mindtrek 2022 - Tampere, Finland Duration: Nov 16 2022 → Nov 18 2022

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	25th International Academic Mindtrek Conference, Academic Mindtrek 2022
Country/Territory	Finland
City	Tampere
Period	11/16/22 → 11/18/22

All Science Journal Classification (ASJC) codes

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

Access to Document

10.1145/3569219.3569388

Cite this

Ghajargar, M., & Bardzell, J. (2022). Learning about Plant Intelligence from a Flying Plum Tree: Music Recommenders and Posthuman User Experiences. In Academic Mindtrek 2022 - Proceedings of the 25th International Academic Mindtrek Conference (pp. 343-346). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3569219.3569388

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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.",

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Ghajargar, M & Bardzell, J 2022, Learning about Plant Intelligence from a Flying Plum Tree: Music Recommenders and Posthuman User Experiences. in Academic Mindtrek 2022 - Proceedings of the 25th International Academic Mindtrek Conference. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 343-346, 25th International Academic Mindtrek Conference, Academic Mindtrek 2022, Tampere, Finland, 11/16/22. https://doi.org/10.1145/3569219.3569388

Learning about Plant Intelligence from a Flying Plum Tree: Music Recommenders and Posthuman User Experiences. / Ghajargar, Maliheh; Bardzell, Jeffrey.
Academic Mindtrek 2022 - Proceedings of the 25th International Academic Mindtrek Conference. Association for Computing Machinery, 2022. p. 343-346 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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

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All Science Journal Classification (ASJC) codes

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