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

Yıl 2023, , 406 - 423, 27.10.2023

Ahmet Karadoğan

https://doi.org/10.53048/johass.1368950

Cited By: 3

Öz

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.

Anahtar Kelimeler

Story authorship, artificial creativity, AI co-creativity, creative writing with AI

Kaynakça

• Abdul, A., Vermeulen, J., Wang, D., Lim, B. Y., & Kankanhalli, M. (2018). Trends and trajectories for explainable, accountable and intelligible systems: An hci research agenda. In Proceedings of the 2018 CHI conference on human factors in computing systems (pp. 1-18). https://doi.org/10.1145/3173574.3174156
• Akoury, N., Wang, S., Whiting, J., Hood, S., Peng, N., & Iyyer, M. (2020). Storium: A dataset and evaluation platform for machine-in-the-loop story generation. arXiv preprint arXiv:2010.01717. https://doi.org/10.48550/arXiv.2010.01717
• Ammanabrolu, P., Cheung, W., Tu, D., Broniec, W., & Riedl, M. (2020). Bringing Stories Alive: Generating Interactive Fiction Worlds. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 16(1), 3-9. https://doi.org/10.1609/aiide.v16i1.7400
• Branch, B., Mirowski, P., & Mathewson, K. W. (2021). Collaborative storytelling with human actors and ai narrators. arXiv preprint arXiv:2109.14728. https://doi.org/10.48550/arXiv.2109.14728
• Cawsey, A. (2003). Explanation and Interaction (ACL-MIT Series in Natural Language Processing): The Computer Generation of Explanatory Dialogues. A Bradford Book, Place of publication not identified.
• ChatGPT. (2023). https://openai.com/blog/chatgpt/ on 03.08.2023.
• Dehn, N. (1981). Story Generation After TALE-SPIN. In IJCAI (Vol. 81, pp. 16-18).
• Fan, A., Lewis, M., & Dauphin, Y. (2018). Hierarchical neural story generation. arXiv preprint arXiv:1805.04833. https://doi.org/10.48550/arXiv.1805.04833
• Floridi, L. & Chiriatti, M. (2020). GPT-3: Its Nature, Scope, Limits, and Consequences. Minds and Machines 30, 4 (2020), 681-694. Publisher: Springer Verlag. https://doi.org/10.1007/s11023-020-09548-1
• Ghajargar, M., Bardzell, J., & Lagerkvist, L. (2022). A redhead walks into a bar: experiences of writing fiction with artificial intelligence. In Proceedings of the 25th international academic MindTrek conference (pp. 230-241). https://doi.org/10.1145/3569219.3569418
• Google Bard. (2023). https://bard.google.com/chat/574637c579de2091 on 05.08.2023.
• Guzdial, M., Liao, N., Chen, J., Chen, S. Y., Shah, S., Shah, V., ... & Riedl, M. O. (2019). Friend, collaborator, student, manager: How design of an ai-driven game level editor affects creators. In Proceedings of the 2019 CHI conference on human factors in computing systems (pp. 1-13). https://doi.org/10.1145/3290605.3300854
• Ippolito, D., Yuan, A., Coenen, A., & Burnam, S. (2022). Creative writing with an ai-powered writing assistant: Perspectives from professional writers. arXiv preprint arXiv:2211.05030. https://doi.org/10.48550/arXiv.2211.05030
• Klein, S., Aeschlimann, J. F., Balsiger, D. F., Converse, S. L., Foster, M., Lao, R., ... & Smith, J. (1973). Automatic novel writing: A status report. University of Wisconsin-Madison Department of Computer Sciences.
• Liao, Q. V., Gruen, D., & Miller, S. (2020). Questioning the AI: informing design practices for explainable AI user experiences. In Proceedings of the 2020 CHI conference on human factors in computing systems (pp. 1-15). https://doi.org/10.1145/3313831.3376590
• Liu, H., & Singh, P. (2002). MAKEBELIEVE: Using commonsense knowledge to generate stories. In AAAI/IAAI (pp. 957-958).
• McIntyre, N., & Lapata, M. (2009, August). Learning to tell tales: A data-driven approach to story generation. In Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP (pp. 217-225).
• Meehan, J. R. (1977, August). TALE-SPIN, An Interactive Program that Writes Stories. In Ijcai (Vol. 77, pp. 91-98).
• Novick, D. G., & Sutton, S. (1997). What is mixed-initiative interaction. In Proceedings of the AAAI spring symposium on computational models for mixed initiative interaction (Vol. 2, p. 12).
• Oh, C., Song, J., Choi, J., Kim, S., Lee, S., & Suh, B. (2018). I lead, you help but only with enough details: Understanding user experience of co-creation with artificial intelligence. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (pp. 1-13). https://doi.org/10.1145/3173574.3174223
• Riedl, M. O., & Young, R. M. (2006). From linear story generation to branching story graphs. IEEE Computer Graphics and Applications, 26(3), 23-31. DOI: 10.1109/MCG.2006.56.
• Roemmele, M., & Gordon, A. S. (2015). Creative help: A story writing assistant. In Interactive Storytelling: 8th International Conference on Interactive Digital Storytelling, ICIDS 2015, Copenhagen, Denmark, November 30-December 4, 2015, Proceedings 8 (pp. 81-92). Springer International Publishing. https://doi.org/10.1007/978-3-319-27036-4_8
• Swanson, B., Mathewson, K., Pietrzak, B., Chen, S., & Dinalescu, M. (2021, April). Story centaur: Large language model few shot learning as a creative writing tool. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations (pp. 244-256).http://dx.doi.org/10.18653/v1/2021.eacl-demos.29
• Tavşancıl, E., & Aslan, A. E. (2001). Sözel, yazılı ve diğer materyaller için içerik analizi ve uygulama örnekleri. Epsilon.
• Turner, S. R. (1993). Minstrel: a computer model of creativity and storytelling. University of California, Los Angeles.
• Yıldırım, A. & Şimşek H (2008). Sosyal bilimlerde nitel araştırma yöntemleri. Seçkin.