Story Forge: A Card-Based Framework for AI-Assisted Interactive Storytelling
The application of artificial intelligence has significantly advanced interactive storytelling. However, current research has predominantly concentrated on the content generation capabilities of AI, primarily following a one-way ‘input-direct generation’ model. This has led to limited practicality in AI story writing, mainly due to the absence of investigations into user-driven creative processes. Consequently, users often perceive AI-generated suggestions as unhelpful and unsatisfactory. This study introduces a novel creative tool named Story Forge, which incorporates a card-based interactive narrative approach. By utilizing interactive story element cards, the tool facilitates the integration of narrative components with artificial intelligence-generated content to establish an interactive story writing framework. To evaluate the efficacy of Story Forge, two tests were conducted with a focus on user engagement, decision-making, narrative outcomes, the replay value of meta-narratives, and their impact on the users’ emotions and self-reflection. In the comparative assessment, the participants were randomly assigned to either the experimental group or the control group, in which they would use either a web-based AI story tool or Story Forge for story creation. Statistical analyses, including independent-sample t-tests, p-values, and effect size calculation (Cohen’s d), were employed to validate the effectiveness of the framework design. The findings suggest that Story Forge enhances users’ intuitive creativity, real-time story development, and emotional expression while empowering their creative autonomy.
Authors
- Michael Phillips (ORCID: https://orcid.org/0000-0003-4170-5800)
- Gianni Corino (ORCID: https://orcid.org/0000-0003-3895-1568)
- Yaojiong Yu (ORCID: https://orcid.org/0009-0000-1506-7273)
Institutions
- University of Plymouth (GB)
Publication Details
- Journal
- Electronics
- Published
- 2025-07-24
- DOI
- https://doi.org/10.3390/electronics14152955
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Games
- Type
- article
- Field-Weighted Citation Impact
- 2.48
Funders
- Chinese Government Scholarship