Malmö University Publications
Change search
Link to record
Permanent link

Direct link
Publications (2 of 2) Show all publications
Ghajargar, M., Bardzell, J. & Lagerkvist, L. (2022). A Redhead Walks into a Bar: Experiences of Writing Fiction with Artificial Intelligence. In: Academic Mindtrek '22: Proceedings of the 25th International Academic Mindtrek Conference: . Paper presented at Academic Mindtrek 2022: 25th International Academic Mindtrek conference, Tampere Finland, November 16 - 18, 2022 (pp. 230-241). ACM Digital Library
Open this publication in new window or tab >>A Redhead Walks into a Bar: Experiences of Writing Fiction with Artificial Intelligence
2022 (English)In: Academic Mindtrek '22: Proceedings of the 25th International Academic Mindtrek Conference, ACM Digital Library, 2022, p. 230-241Conference paper, Published paper (Refereed)
Abstract [en]

Human creativity has been often aided and supported by artificial tools, spanning traditional tools such as ideation cards, pens, and paper, to computed and software. Tools for creativity are increasingly using artificial intelligence to not only support the creative process, but also to act upon the creation with a higher level of agency. This paper focuses on writing fiction as a creative activity and explores human-AI co-writing through a research product, which employs a natural language processing model, the Generative Pre-trained Transformer 3 (GPT-3), to assist the co-authoring of narrative fiction. We report on two progressive – not comparative – autoethnographic studies to attain our own creative practices in light of our engagement with the research product: (1) a co-writing activity initiated by basic textual prompts using basic elements of narrative and (2) a co-writing activity initiated by more advanced textual prompts using elements of narrative, including dialects and metaphors undertaken by one of the authors of this paper who has doctoral training in literature. In both studies, we quickly came up against the limitations of the system; then, we repositioned our goals and practices to maximize our chances of success. As a result, we discovered not only limitations but also hidden capabilities, which not only altered our creative practices and outcomes, but which began to change the ways we were relating to the AI as collaborator.  

 

Place, publisher, year, edition, pages
ACM Digital Library, 2022
National Category
Computer Sciences
Identifiers
urn:nbn:se:mau:diva-56499 (URN)10.1145/3569219.3569418 (DOI)2-s2.0-85142667157 (Scopus ID)978-1-4503-9955-5 (ISBN)
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
Lagerkvist, L. & Ghajargar, M. (2020). Multiverse: Exploring Human Machine Learning Interaction Through Cybertextual Generative Literature. In: Paul Davidsson, Marc Langheinrich, Per Linde, Simon Mayer, Diego Casado-Mansilla, Daniel Spikol, Frank Alexander Kraemer, Nancy Russo (Ed.), 10th International Conference on the Internet of Things: . Paper presented at The 10th International Conference on the Internet of Things (IoT 2020), Malmö, Sweden, October 2020 (pp. 1-6). Association for Computing Machinery (ACM), Article ID 1.
Open this publication in new window or tab >>Multiverse: Exploring Human Machine Learning Interaction Through Cybertextual Generative Literature
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
Keywords
machine learning, interactive machine learning, generative literature, interactive literature, cybertext
National Category
Computer Systems Design
Research subject
Interaktionsdesign
Identifiers
urn:nbn:se:mau:diva-24078 (URN)10.1145/3423423.3423424 (DOI)001062649200001 ()2-s2.0-85123042653 (Scopus ID)978-1-4503-8820-7 (ISBN)
Conference
The 10th International Conference on the Internet of Things (IoT 2020), Malmö, Sweden, October 2020
Funder
Knowledge Foundation
Available from: 2020-10-31 Created: 2020-10-31 Last updated: 2024-04-04Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-1962-7212

Search in DiVA

Show all publications