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Multiverse: Exploring Human Machine Learning Interaction Through Cybertextual Generative Literature
Malmö University, Faculty of Culture and Society (KS), School of Arts and Communication (K3).ORCID iD: 0000-0002-1962-7212
Malmö University, Faculty of Culture and Society (KS), School of Arts and Communication (K3). Malmö University, Internet of Things and People (IOTAP).ORCID iD: 0000-0003-1852-3937
2020 (English)In: 10th International Conference on the Internet of Things / [ed] Paul Davidsson, Marc Langheinrich, Per Linde, Simon Mayer, Diego Casado-Mansilla, Daniel Spikol, Frank Alexander Kraemer, Nancy Russo, Association for Computing Machinery (ACM), 2020, p. 1-6, article id 1Conference paper, Published paper (Refereed)
Abstract [en]

We present a prototype of a system for machine learning (ML) powered interactive generative literature called Multiverse. The system employs a set of neural networks models to dynamically generate a literary space from an initial writing prompt provided by its user-reader. The user-reader is able to choose the model used to generate the text as a kind of interactive machine learning (IML). The research explores how interaction design and HCI researchers can engage directly with ML by leveraging the powerful, yet accessible, models afforded by new developments in the field. User-readers testing the prototype found the imperfect aesthetics of the ML-generated texts to be entertaining and engaging but struggled to conceptualize the generated work as a navigable interactive literary space.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2020. p. 1-6, article id 1
Keywords [en]
machine learning, interactive machine learning, generative literature, interactive literature, cybertext
National Category
Computer Systems Design
Research subject
Interaktionsdesign
Identifiers
URN: urn:nbn:se:mau:diva-24078DOI: 10.1145/3423423.3423424ISI: 001062649200001Scopus ID: 2-s2.0-85123042653ISBN: 978-1-4503-8820-7 (electronic)OAI: oai:DiVA.org:mau-24078DiVA, id: diva2:1485019
Conference
The 10th International Conference on the Internet of Things (IoT 2020), Malmö, Sweden, October 2020
Funder
Knowledge FoundationAvailable from: 2020-10-31 Created: 2020-10-31 Last updated: 2024-04-04Bibliographically approved

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Publisher's full textScopushttps://dl.acm.org/doi/abs/10.1145/3423423.3423424

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Lagerkvist, LoveGhajargar, Maliheh

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