DRAFT: This module has unpublished changes.
- Home
- Personal CV
- Research Proposal
- Chronic Research Journals
- Synthesis Paper
- Annotated Bibliography
- Presentations and Evaluations
- Previous Work
- Future Work
- Contact, Downloads, Test Subject Movie Trailers
- Autonomous Tomato Harvester (Ind.)
- Sonar Mapping (APL)
- The Story Template (Ind.)
- Interns of America (Ind.)
- Astrobot (NASA)
- Photo Gallery
- 2010-2011 Story Data
DRAFT: This module has unpublished changes.
DRAFT: This module has unpublished changes.
DRAFT: This module has unpublished changes.
The Story Template algorithm (the test group)’s categorical diagnosis of subjects: either classic or non-classic will be compared to the control group (the gold standard)’s classification of those same subjects. The Story Template Algorithm’s credibility will be assessed in terms of percent sensitivity, percent specificity, and percent accuracy. From there, a conclusion of the Story Template’s validity as a diagnostic test will be drawn and presented in a supplemental manuscript to be published in June 2010.
DRAFT: This module has unpublished changes.
Slide 27
These data support the conclusion that The Story Template is an accurate tool to predict classic and non-classic stories.
The Story Template algorithm was able to correctly detect both classic and non-classic stories as determined by objective/historical criteria. In this small sample of ten movies, The Story Template was able to correctly categorize nine stories, giving a final accuracy score of 90%.
The Story Template is an algorithm that was developed to assist a writer in creating a complete, compelling story. In this series of experiments, 16 separate components of The Story Template were identified. Interestingly, 15 of these 16 components was always present in both classic and non-classic stories. The presence or absence of only one component determined the template’s classification of a classic or non-classic story.
DRAFT: This module has unpublished changes.
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