Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..
Scheherazade: Crowd-Powered Interactive Narrative Generation
Authors: Boyang Li, Mark Riedl
AAAI 2015 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | This extended abstract outlines the SCHEHERAZADE-IF system, which uses crowdsourcing and artificial intelligence to automatically construct text-based interactive narrative experiences. The SCHEHERAZADE-IF system attempts to create a novel, playable interactive fictions about simple, user-provided scenarios. See Figure 2 for an example of the text-based interface. |
| Researcher Affiliation | Academia | Boyang Li and Mark O. Riedl School of Interactive Computing, Georgia Institute of Technology EMAIL |
| Pseudocode | No | The paper describes the process in numbered steps, but these are descriptive paragraphs, not structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any statement or link regarding the availability of open-source code. |
| Open Datasets | No | The system generates a query to Amazon s Mechanical Turk to solicit example narratives of the given topic, provided in natural language. This describes the data collection process, but does not provide access information for a public dataset. |
| Dataset Splits | No | The paper does not provide specific dataset split information for training, validation, or testing. |
| Hardware Specification | No | The paper does not explicitly describe the hardware used to run its experiments. |
| Software Dependencies | No | The paper does not provide specific ancillary software details with version numbers. |
| Experiment Setup | No | The paper describes the system's processes but does not provide specific experimental setup details such as hyperparameters or training configurations. |