Publikationer från Malmö universitet
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Multiverse: Exploring Human Machine Learning Interaction Through Cybertextual Generative Literature
Malmö universitet, Fakulteten för kultur och samhälle (KS), Institutionen för konst, kultur och kommunikation (K3).ORCID-id: 0000-0002-1962-7212
Malmö universitet, Fakulteten för kultur och samhälle (KS), Institutionen för konst, kultur och kommunikation (K3). Malmö universitet, Internet of Things and People (IOTAP).ORCID-id: 0000-0003-1852-3937
2020 (engelsk)Inngår i: 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, s. 1-6, artikkel-id 1Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
Association for Computing Machinery (ACM), 2020. s. 1-6, artikkel-id 1
Emneord [en]
machine learning, interactive machine learning, generative literature, interactive literature, cybertext
HSV kategori
Forskningsprogram
Interaktionsdesign
Identifikatorer
URN: urn:nbn:se:mau:diva-24078DOI: 10.1145/3423423.3423424ISI: 001062649200001Scopus ID: 2-s2.0-85123042653ISBN: 978-1-4503-8820-7 (digital)OAI: oai:DiVA.org:mau-24078DiVA, id: diva2:1485019
Konferanse
The 10th International Conference on the Internet of Things (IoT 2020), Malmö, Sweden, October 2020
Forskningsfinansiär
Knowledge FoundationTilgjengelig fra: 2020-10-31 Laget: 2020-10-31 Sist oppdatert: 2024-04-04bibliografisk kontrollert

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Forlagets fulltekstScopushttps://dl.acm.org/doi/abs/10.1145/3423423.3423424

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Lagerkvist, LoveGhajargar, Maliheh

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Totalt: 148 treff
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