Tension Space Analysis for Emergent Narrative
Authors: Ben Kybartas, Clark Verbrugge, Jonathan Lessard
AI-generated Key Points
- The paper explores the potential of emergent narratives in interactive storytelling through simulation.
- Emergent narratives have applications in games, narrative generation, and virtual agents, but their complexity makes it difficult to comprehend their expressive potential during the design phase of development.
- The authors propose a novel approach to emergent narrative using the narratological theory of possible worlds.
- They demonstrate how works can be understood through a formal means of analysis inspired by expressive range analysis.
- They present a new way to author content for the emergent narrative system using a sketch-based interface.
- Designers can create unique storylines within the simulation by manipulating tension spaces between characters or objects.
- Tension space is defined as an abstract space that represents the relationships between different entities within the simulation.
- By adjusting these relationships through sketches, designers can craft compelling stories that emerge from interactions between characters or objects.
Abstract: Emergent narratives provide a unique and compelling approach to interactive storytelling through simulation, and have applications in games, narrative generation, and virtual agents. However the inherent complexity of simulation makes understanding the expressive potential of emergent narratives difficult, particularly at the design phase of development. In this paper, we present a novel approach to emergent narrative using the narratological theory of possible worlds and demonstrate how the design of works in such a system can be understood through a formal means of analysis inspired by expressive range analysis. Lastly, we propose a novel way through which content may be authored for the emergent narrative system using a sketch-based interface.
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