Abstract
Characters are a critical part of storytelling and emotion is a vital part of character. Readers generally credit characters with human emotions, and it is these emotions which bring meaning to stories. To computationally construct interesting and meaningful stories we need a model of emotion which allows us to predict characters' reactions to events in the world. There are many different psychological theories of emotion; the most popular to date for computational applications is the OCC theory. This paper describes a Discrete Event Calculus implementation of the OCC Theory of Emotion. To evaluate our system, we apply it to a selection of Aesop's fables, and compare the output to the emotions readers expect in the same situations based on a survey.
| Original language | English |
|---|---|
| Title of host publication | Intelligent Narrative Technologies IV |
| Subtitle of host publication | Papers from the 2011 AIIDE Workshop |
| Place of Publication | Menlo Park, CA |
| Publisher | Association for the Advancement of Artificial Intelligence |
| Pages | 57-64 |
| Number of pages | 8 |
| Publication status | Published - 2011 |
| Externally published | Yes |
| Event | 2011 AIIDE Workshop on Intelligent Narrative Technologies IV - Stanford, CA, United States Duration: 10 Oct 2011 → 11 Oct 2011 |
Other
| Other | 2011 AIIDE Workshop on Intelligent Narrative Technologies IV |
|---|---|
| Country/Territory | United States |
| City | Stanford, CA |
| Period | 10/10/11 → 11/10/11 |