OASIcs.CMN.2013.147.pdf
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Testing Reader Ethical Judgments over the Course of a Narrative
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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
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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
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.
Keywords
- Directed acyclic graphs
- literary narratives
- ethical evaluations
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