How narratives move your mind: A corpus of shared-character stories for connecting emotional flow and interestingness. Issue 5 (September 2019)

• Record Type: Journal Article
• Authors: Mori, Yusuke; Yamane, Hiroaki; Ushiku, Yoshitaka; Harada, Tatsuya
• Is Part Of: Information processing & management. Volume 56:Issue 5(2019:Sep.)
• Page Start: 1865
• Page End: 1879
• Publication Date: 2019-09
• Subjects: Natural language understanding -- Story evaluation -- Emotion -- Creativity -- Text corpus construction -- Crowdsourcing; Information storage and retrieval systems -- Periodicals; Information science -- Periodicals; Systèmes d'information -- Périodiques; Sciences de l'information -- Périodiques; Information science; Information storage and retrieval systems; Periodicals; 658.4038
• DOI: 10.1016/j.ipm.2019.03.006
• Languages: English
• ISSNs: 0306-4573

Abstract

Abstract: Creativity is considered a human characteristic; creative endeavors, including automatic story generation, have been a major challenge for artificial intelligences. To understand how humans create and evaluate stories, we (1) construct a story dataset and (2) analyze the relationship between emotions and story interestingness. Given that understanding how to move readers emotionally is a crucial creative technique, we focus on the role of emotions in evaluating reader satisfaction. Although conventional research has highlighted emotions read from a text, we hypothesize that readers' emotions do not necessarily coincide with those of the characters. The story dataset created for this study describes situations surrounding two characters. Crowdsourced volunteers label stories with the emotions of the two characters and those of readers; we then empirically analyze the relationship between emotions and interestingness. The results show that a story's score has a stronger relationship to the readers' emotions than the characters' emotions.