Business Model for Effectiveness of Human-AI Collaboration Patterns in Digital Fiction Storytelling: A Systematic Literature Review

Authors

  • Daffa Shidqi Thamrin Telkom University, Indonesia Author

DOI:

https://doi.org/10.5281/zenodo.15788175

Keywords:

Human-AI collaboration, systematic literature review, storytelling fiction, human-centered design, creative writing

Abstract

The unavoidable pace of Artificial Intelligence (AI) is changing its role from a simple tool to a potential thought partner in various creative fields, including digital storytelling. This research discusses the effectiveness of human-AI collaboration patterns specifically in the aspect of fictional storytelling, for which creativity, narrative structure, and imagination are crucial. By a Systematic Literature Review (SLR), this research synthesizes results from published article research from 2020 to 2025, with the focus on how AI supports and co-creates with human authors throughout the storytelling process. This research also discovered and identified several benefits, which include increased creativity, idea generation, and efficiency, and also discussed challenges such as authority for storytelling, author originality, and ethical considerations in the ownership of a story. This research also discusses implications for future development and proposes a collaboration model that involves two types of human actors, which are writers and editors, and then collaborating with an AI system by a human-centered business design approach. Those results offer a framework business model for implementing practical storytelling systems by results of literature review and suggest that fictional storytelling may be an ideal and potential field for learning about AI's creative potential. The contribution of this research is the aspect of human-centered AI and provides guidelines for designing collaborative storytelling platforms that include both human and AI roles

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References

Agarwal, O. (2024). MS Slide Designer: A Study on Human-AI Collaboration for Content Creation. ACM International Conference Proceeding Series, 499–503. https://doi.org/10.1145/3635636.3664259

Antony, V. N., & Huang, C.-M. (2024). ID.8: Co-Creating Visual Stories with Generative AI. ACM Transactions on Interactive Intelligent Systems, 14(3), 1–29. https://doi.org/10.1145/3672277

Biermann, O. C., Ma, N. F., & Yoon, D. (2022). From Tool to Companion: Storywriters Want AI Writers to Respect Their Personal Values and Writing Strategies. DIS 2022 - Proceedings of the 2022 ACM Designing Interactive Systems Conference: Digital Wellbeing, 1209–1227. https://doi.org/10.1145/3532106.3533506

Borges, M. G., Correa, C. M., & Silveira, M. S. (2024, December 18). Human+Human or Human+AI: A Comparative Analysis of a Narrative Visualization Design Guide. ACM International Conference Proceeding Series. https://doi.org/10.1145/3702038.3702070

Cao, Y., Huang, Y., Truong, A., Shin, H. V., & Xia, H. (2025). Compositional Structures as Substrates for Human-AI Co-creation Environment: A Design Approach and A Case Study. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 1–25. https://doi.org/10.1145/3706598.3713401

Capel, T., & Brereton, M. (2023, April 19). What is Human-Centered about Human-Centered AI? A Map of the Research Landscape. Conference on Human Factors in Computing Systems - Proceedings. https://doi.org/10.1145/3544548.3580959

Chaisatitkul, A., Luangngamkhum, K., Noulpum, K., & Kerdvibulvech, C. (2024). The power of AI in marketing: enhancing efficiency and improving customer perception through AI-generated storyboards. International Journal of Information Technology (Singapore), 16(1), 137–144. https://doi.org/10.1007/s41870-023-01661-5

Chubb, J., Reed, D., & Cowling, P. (2024). Expert views about missing AI narratives: is there an AI story crisis? AI and Society, 39(3), 1107–1126. https://doi.org/10.1007/s00146-022-01548-2

Chung, J. J. Y., Kim, W., Yoo, K. M., Lee, H., Adar, E., & Chang, M. (2022, April 29). TaleBrush: Sketching Stories with Generative Pretrained Language Models. Conference on Human Factors in Computing Systems - Proceedings. https://doi.org/10.1145/3491102.3501819

Collins, K. M., Sucholutsky, I., Bhatt, U., Chandra, K., Wong, L., Lee, M., Zhang, C. E., Zhi-Xuan, T., Ho, M., Mansinghka, V., Weller, A., Tenenbaum, J. B., & Griffiths, T. L. (2024). Building machines that learn and think with people. Nature Human Behaviour, 8(10), 1851–1863. https://doi.org/10.1038/s41562-024-01991-9

de Lima, E. S., Neggers, M. M. E., Feijó, B., Casanova, M. A., & Furtado, A. L. (2025). An AI-powered approach to the semiotic reconstruction of narratives. Entertainment Computing, 52. https://doi.org/10.1016/j.entcom.2024.100810

Draxler, F., Werner, A., Lehmann, F., Hoppe, M., Schmidt, A., Buschek, D., & Welsch, R. (2024). The AI Ghostwriter Effect: When Users do not Perceive Ownership of AI-Generated Text but Self-Declare as Authors. ACM Transactions on Computer-Human Interaction, 31(2). https://doi.org/10.1145/3637875

Formosa, P., Bankins, S., Matulionyte, R., & Ghasemi, O. (2024). Can ChatGPT be an author? Generative AI creative writing assistance and perceptions of authorship, creatorship, responsibility, and disclosure. AI and Society. https://doi.org/10.1007/s00146-024-02081-0

Gero, K. I., Long, T., & Chilton, L. B. (2023, April 19). Social Dynamics of AI Support in Creative Writing. Conference on Human Factors in Computing Systems - Proceedings. https://doi.org/10.1145/3544548.3580782

Halperin, B. A., & Lukin, S. M. (2024). Artificial Dreams: Surreal Visual Storytelling as Inquiry Into AI ‘Hallucination.’ Proceedings of the 2024 ACM Designing Interactive Systems Conference, DIS 2024, 619–637. https://doi.org/10.1145/3643834.3660685

He, J., Houde, S., & Weisz, J. D. (2025). Which Contributions Deserve Credit? Perceptions of Attribution in Human-AI Co-Creation. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 1–18. https://doi.org/10.1145/3706598.3713522

Hoque, M. N., Mashiat, T., Ghai, B., Shelton, C., Chevalier, F., Kraus, K., & Elmqvist, N. (2024, May 11). The HaLLMark Effect: Supporting Provenance and Transparent Use of Large Language Models in Writing with Interactive Visualization. Conference on Human Factors in Computing Systems - Proceedings. https://doi.org/10.1145/3613904.3641895

Jakesch, M., Bhat, A., Buschek, D., Zalmanson, L., & Naaman, M. (2023, April 19). Co-Writing with Opinionated Language Models Affects Users’ Views. Conference on Human Factors in Computing Systems - Proceedings. https://doi.org/10.1145/3544548.3581196

Kieslich, K., Diakopoulos, N., & Helberger, N. (2024). Anticipating impacts: using large-scale scenario-writing to explore diverse implications of generative AI in the news environment. AI and Ethics. https://doi.org/10.1007/s43681-024-00497-4

Lee, M., Gero, K. I., Chung, J. J. Y., Shum, S. B., Raheja, V., Shen, H., Venugopalan, S., Wambsganss, T., Zhou, D., Alghamdi, E. A., August, T., Bhat, A., Choksi, M. Z., Dutta, S., Guo, J. L. C., Hoque, M. N., Kim, Y., Knight, S., Neshaei, S. P., … Siangliulue, P. (2024, May 11). A Design Space for Intelligent and Interactive Writing Assistants. Conference on Human Factors in Computing Systems - Proceedings. https://doi.org/10.1145/3613904.3642697

Li, H., Wang, Y., & Qu, H. (2024, May 11). Where Are We So Far? Understanding Data Storytelling Tools from the Perspective of Human-AI Collaboration. Conference on Human Factors in Computing Systems - Proceedings. https://doi.org/10.1145/3613904.3642726

Li, Z., Liang, C., Peng, J., & Yin, M. (2024, May 11). The Value, Benefits, and Concerns of Generative AI-Powered Assistance in Writing. Conference on Human Factors in Computing Systems - Proceedings. https://doi.org/10.1145/3613904.3642625

Ling, L., Chen, X., Wen, R., Li, T. J.-J., & LC, R. (2024). Sketchar: Supporting Character Design and Illustration Prototyping Using Generative AI. Proceedings of the ACM on Human-Computer Interaction, 8(CHI PLAY), 1–28. https://doi.org/10.1145/3677102

Panchal, D., Collins, C., & Shimabukuro, M. (2024, October 13). LingoComics: Co-Authoring Comic Style AI-Empowered Stories for Language Learning Immersion with Story Designer. UIST Adjunct 2024 - Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology. https://doi.org/10.1145/3672539.3686352

Panchanadikar, R., & Freeman, G. (2024). “I’m a Solo Developer but AI is My New Ill-Informed Co-Worker”: Envisioning and Designing Generative AI to Support Indie Game Development. Proceedings of the ACM on Human-Computer Interaction, 8(CHI PLAY), 1–26. https://doi.org/10.1145/3677082

Puerta-Beldarrain, M., Gomez-Carmona, O., Sanchez-Corcuera, R., Casado-Mansilla, D., Lopez-De-Ipina, D., & Chen, L. (2025). A multifaceted vision of the Human-AI collaboration: a comprehensive review. In IEEE Access. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ACCESS.2025.3536095

Qin, H. X., Jin, S., Gao, Z., Fan, M., & Hui, P. (2024, May 11). CharacterMeet: Supporting Creative Writers’ Entire Story Character Construction Processes Through Conversation with LLM-Powered Chatbot Avatars. Conference on Human Factors in Computing Systems - Proceedings. https://doi.org/10.1145/3613904.3642105

Rae, I. (2024, May 11). The Effects of Perceived AI Use On Content Perceptions. Conference on Human Factors in Computing Systems - Proceedings. https://doi.org/10.1145/3613904.3642076

Sarkhoosh, M. H., Gautam, S., Midoglu, C., Sabet, S. S., & Halvorsen, P. (2024). Multimodal AI-Based Summarization and Storytelling for Soccer on Social Media. MMSys 2024 - Proceedings of the 2024 ACM Multimedia Systems Conference, 485–491. https://doi.org/10.1145/3625468.3652197

Shaer, O., Cooper, A., Mokryn, O., Kun, A. L., & Shoshan, H. Ben. (2024, May 11). AI-Augmented Brainwriting: Investigating the use of LLMs in group ideation. Conference on Human Factors in Computing Systems - Proceedings. https://doi.org/10.1145/3613904.3642414

Suh, S., Chen, M., Min, B., Li, T. J. J., & Xia, H. (2024, May 11). Luminate: Structured Generation and Exploration of Design Space with Large Language Models for Human-AI Co-Creation. Conference on Human Factors in Computing Systems - Proceedings. https://doi.org/10.1145/3613904.3642400

Sun, L., Tao, S., Hu, J., & Dow, S. P. (2024). MetaWriter: Exploring the Potential and Perils of AI Writing Support in Scientific Peer Review. Proceedings of the ACM on Human-Computer Interaction, 8(CSCW1). https://doi.org/10.1145/3637371

Wan, Q., Hu, S., Zhang, Y., Wang, P., Wen, B., & Lu, Z. (2024). “It Felt Like Having a Second Mind”: Investigating Human-AI Co-creativity in Prewriting with Large Language Models. Proceedings of the ACM on Human-Computer Interaction, 8(CSCW1). https://doi.org/10.1145/3637361

Wang, S., Menon, S., Long, T., Henderson, K., Li, D., Crowston, K., Hansen, M., Nickerson, J. V., & Chilton, L. B. (2024, May 11). ReelFramer: Human-AI Co-Creation for News-to-Video Translation. Conference on Human Factors in Computing Systems - Proceedings. https://doi.org/10.1145/3613904.3642868

Yang, K., Raković, M., Liang, Z., Yan, L., Zeng, Z., Fan, Y., Gašević, D., & Chen, G. (2025). Modifying AI, Enhancing Essays: How Active Engagement with Generative AI Boosts Writing Quality. Proceedings of the 15th International Learning Analytics and Knowledge Conference, 568–578. https://doi.org/10.1145/3706468.3706544

Young, J., Jawara, L. M., Nguyen, D. N., Daly, B., Huh-Yoo, J., & Razi, A. (2024, May 11). The Role of AI in Peer Support for Young People: A Study of Preferences for Human- and AI-Generated Responses. Conference on Human Factors in Computing Systems - Proceedings. https://doi.org/10.1145/3613904.3642574

Yuan, A., Coenen, A., Reif, E., & Ippolito, D. (2022). Wordcraft: Story Writing With Large Language Models. International Conference on Intelligent User Interfaces, Proceedings IUI, 841–852. https://doi.org/10.1145/3490099.3511105

Zhang, Z., Gao, J., Dhaliwal, R. S., & Li, T. J. J. (2023, October 29). VISAR: A Human-AI Argumentative Writing Assistant with Visual Programming and Rapid Draft Prototyping. UIST 2023 - Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology. https://doi.org/10.1145/3586183.3606800

Zhang, Z., Xu, Y., Wang, Y., Yao, B., Ritchie, D., Wu, T., Yu, M., Wang, D., & Li, T. J. J. (2022, April 29). StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement. Conference on Human Factors in Computing Systems - Proceedings. https://doi.org/10.1145/3491102.3517479

Zhou, D., & Sterman, S. (2024). Ai.llude: Investigating Rewriting AI-Generated Text to Support Creative Expression. ACM International Conference Proceeding Series, 241–254. https://doi.org/10.1145/3635636.3656187

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Published

02-07-2025

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How to Cite

Business Model for Effectiveness of Human-AI Collaboration Patterns in Digital Fiction Storytelling: A Systematic Literature Review. (2025). SITEKNIK: Sistem Informasi, Teknik Dan Teknologi Terapan, 2(3), 206-218. https://doi.org/10.5281/zenodo.15788175

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