DendryScope: Narrative Designer Support via Symbolic Analysis
Keywords:Automated Playtesting, Sculptural Hypertext, Creativity Support Tools
AbstractQuality-based narratives (QBN) are hypertexts with extensive implicit linked structure. The observation of one passage can have non-obvious long-range implications for the reachability of other passages, which poses an authoring challenge. To help narrative designers address this issue, we produced an interface which visually summarizes all possible playtraces. Our interface leverages answer set programming to produce a query language over possible playtraces, allowing narrative designers to drill down to interesting scenarios. We introduce this interface through the DendryScope tool, which accepts most QBNs written in the Dendry language. We evaluated DendryScope by interviewing four narrative designers as they used the tool to explore Bee, a notable QBN written by Emily Short.
How to Cite
Otto, J., Chen, A., & Smith, A. M. (2023). DendryScope: Narrative Designer Support via Symbolic Analysis. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 19(1), 315-325. https://doi.org/10.1609/aiide.v19i1.27527
Research Track Posters