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  • 1.
    Ghajargar, Maliheh
    et al.
    Malmö University, Faculty of Culture and Society (KS), School of Arts and Communication (K3). Malmö University, Internet of Things and People (IOTAP).
    Bardzell, Jeffrey
    IST, Pennsylvania State University, United States.
    Lagerkvist, Love
    Malmö University, Faculty of Culture and Society (KS), School of Arts and Communication (K3).
    A Redhead Walks into a Bar: Experiences of Writing Fiction with Artificial Intelligence2022In: Academic Mindtrek '22: Proceedings of the 25th International Academic Mindtrek Conference, ACM Digital Library, 2022, p. 230-241Conference 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.  

     

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  • 2.
    Lagerkvist, Love
    et al.
    Malmö University, Faculty of Culture and Society (KS), School of Arts and Communication (K3).
    Ghajargar, Maliheh
    Malmö University, Faculty of Culture and Society (KS), School of Arts and Communication (K3). Malmö University, Internet of Things and People (IOTAP).
    Multiverse: Exploring Human Machine Learning Interaction Through Cybertextual Generative Literature2020In: 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 (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.

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