OASIcs.CMN.2013.147.pdf
- Filesize: 376 kB
- 6 pages
Document
Testing Reader Ethical Judgments over the Course of a Narrative
Authors
-
Part of:
Volume:
2013 Workshop on Computational Models of Narrative (CMN 2013)
Series: Open Access Series in Informatics (OASIcs) - License:
Creative Commons Attribution 3.0 Unported license
- Publication Date: 2013-08-02
Cite As Get BibTex
Greg Lessard and Michael Levison. Testing Reader Ethical Judgments over the Course of a Narrative. In 2013 Workshop on Computational Models of Narrative. Open Access Series in Informatics (OASIcs), Volume 32, pp. 147-152, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2013)
https://doi.org/10.4230/OASIcs.CMN.2013.147
Abstract
We present a web-based environment - an Ethics Workbench - which allows a reader's ethical judgments to be solicited while reading a narrative. Preliminary results show generally consistent scores across subjects and test conditions, and suggest that it is possible to measure how individual readers respond to texts in terms of ethical judgments, how the linearity inherent in narrative plays a role in affecting ethical judgments, and how readers appear to synthesize judgments over the course of a text. Applications of the model include the empirical analysis of the ethical aspects of reading, the more detailed study of ethical issues, the potential for eliciting ethical discussions, and a means of dynamically planning texts to achieve maximum effect with respect to reader judgments.
Subject Classification
Keywords
- Directed acyclic graphs
- literary narratives
- ethical evaluations
Metrics
- Access Statistics
-
Total Accesses (updated on a weekly basis)
0PDF Downloads