A Redhead Walks into a Bar: Experiences of Writing Fiction with Artificial Intelligence

Ghajargar, Maliheh; Ditkoff, Jeffrey; Lagerkvist, Love

doi:10.1145/3569219.3569418

Cited by 24 publications

(4 citation statements)

References 39 publications

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“…Thus, two challenges to human-AI coauthoring of fiction are AI's lack of semantic understanding and AI's inability to participate in cultural practices, including fiction (Ghajargar, Bardzell & Lagerkvist, 2022, p. 232). Ghajargar et al (2022) reached similar results to our study and found that artificial intelligence has emotional deficiencies, cultural deprivation, lack of communication, psychological deficiencies and artistic deficiencies. It can be thought that these deficiencies can be improved by establishing new artificial neural connections with deep learning algorithms.…”

Section: Discussion and Resultssupporting

confidence: 90%

A Bridge Between Technology and Creativity: Story Writing with Artificial Intelligence

KARADOĞAN

2023

İnsan Ve Sosyal Bilimler Dergisi

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In today's technological environment, it can be said that artificial intelligence (AI) has entered almost every aspect of our lives. It is possible to feel the presence of artificial intelligence from health services to finance, from entertainment to education. One of the most controversial and interesting areas of artificial intelligence is the world of literature. So, how can a machine devoid of emotions and personal experiences navigate the complex and emotionally charged world of storytelling? In this article, the fascinating intersection of artificial intelligence and one of the literary genres, the story, is analysed. It analyses how artificial intelligence perceives the story and what it can bring to this respected literary form. The study examined the data obtained with ChatGPT and Google Bard using the document review method. The data obtained was analyzed with content analysis. As a result of the analysis, it was determined that artificial intelligence has both positive and negative aspects in producing stories. Among the positive aspects, it can be said that he writes an account with a holistic perspective. In addition, it was seen that he produced stories regarding current current events. Its negative aspects are that it lacks human emotions and creativity and creates predictable fiction on standard subjects. As a result, artificial intelligence can produce stories, but considering its shortcomings, it can help writers as a writing aid. However, it can also be said that the development of artificial intelligence algorithms, has the capacity to create more successful stories in the future.

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Section: Discussion and Resultssupporting

confidence: 90%

A Bridge Between Technology and Creativity: Story Writing with Artificial Intelligence

KARADOĞAN

2023

İnsan Ve Sosyal Bilimler Dergisi

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“…While an iterative and incremental approach to learning and understanding the tools was particularly vital at the outset of the design exploration, even later on, one selected picture for a 'CreativeAI Postcard' was often the results of many trials. As such, our reflections connect and add to the broader disciplinary discussions that are currently happening in the related fields of design and HCI, where the probabilistic nature of AI and ML algorithms is asking for a radical rethinking of the role of the designer [28,29].…”

Section: Creative Ai As Emerging Design Practicementioning

confidence: 77%

“…Because the model was released open source, third-party researchers started building upon the technology, resulting in a range of new applications for DMs, such as video editing [62], 3D rendering and animation [58], and model "personalization" [27,63]. This is resulting in a growing body of scientific literature on the use of co-creative AI, in design, design education, and other creative practices [24,28,69]. Nevertheless, the specific use of DMs for confronting designers' pre-existing assumptions and related socio-technical imaginaries remains under-explored.…”

Section: Co-creative Ai Tools For Designerly Practicesmentioning

confidence: 99%

Creative AI for HRI Design Explorations

Hoggenmueller

Lupetti

Maden

et al. 2023

Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction

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Design fixation, a phenomenon describing designers' adherence to pre-existing ideas or concepts that constrain design outcomes, is particularly prevalent in human-robot interaction (HRI), for example, due to collectively held and stabilised imaginations of what a robot should look like or behave. In this paper, we explore the contribution of creative AI tools to overcome design fixation and enhance creative processes in HRI design. In a four weeks long design exploration, we used generative text-to-image models to ideate and visualise robotic artefacts and robot sociotechnical imaginaries. We exchanged results along with reflections through a digital postcard format. We demonstrate the usefulness of our approach to imagining novel robot concepts, surfacing existing assumptions

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“…One example of such collaboration can be seen in the use of language generation models, such as GPT-3, to assist with writing tasks. Previous HCI research has investigated user perspectives on collaborative creative writing [44,71,98], style transfer [87], text summarization [47], and perceived authorship with AI suggestions [72]. However, it has not yet investigated how people attribute and declare authorship for the generated text.…”

Section: Introductionmentioning

confidence: 99%

The AI Ghostwriter Effect: Users Do Not Perceive Ownership of AI-Generated Text But Self-Declare as Authors

Draxler¹,

Werner²,

Lehmann³

et al. 2023

Preprint

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Human-AI interaction in text production increases complexity in authorship. In two empirical studies (n1 = 30 & n2 = 96), we investigate authorship and ownership in human-AI collaboration for personalized language generation models. We show an AI Ghostwriter Effect:Users do not consider themselves the owners and authors of AI-generated text but refrain from publicly declaring AI authorship.The degree of personalization did not impact the AI Ghostwriter Effect, and control over the model increased participants' sense of ownership. We also found that the discrepancy between the sense of ownership and the authorship declaration is stronger in interactions with a human ghostwriter and that people use similar rationalizations for authorship in AI ghostwriters and human ghostwriters. We discuss how our findings relate to psychological ownership and human-AI interaction to lay the foundations for adapting authorship frameworks and user interfaces in AI in text-generation tasks.

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A Redhead Walks into a Bar: Experiences of Writing Fiction with Artificial Intelligence

Cited by 24 publications

References 39 publications

A Bridge Between Technology and Creativity: Story Writing with Artificial Intelligence

A Bridge Between Technology and Creativity: Story Writing with Artificial Intelligence

Creative AI for HRI Design Explorations

The AI Ghostwriter Effect: Users Do Not Perceive Ownership of AI-Generated Text But Self-Declare as Authors

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