Scheherazade: Crowd-Powered Interactive Narrative Generation
Authors: Boyang Li, Mark Riedl
AAAI 2015 | Conference PDF | Archive PDF | Plain Text | 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 {boyangli, riedl}@gatech.edu |
| 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. |