An information-theoretic evaluation of narrative complexity for interactive writing support
作者：
Highlights：
• We evaluate narrative complexity from the information processing perspective.
• The knowledge flow reflects the information processing of narrative agents.
• The amount of information processed by recipients is used as a complexity measure.
• The proposed measure captures the characteristics of narratives at a content level.
• The evaluation method can support an author in the interactive writing process.
摘要
•We evaluate narrative complexity from the information processing perspective.•The knowledge flow reflects the information processing of narrative agents.•The amount of information processed by recipients is used as a complexity measure.•The proposed measure captures the characteristics of narratives at a content level.•The evaluation method can support an author in the interactive writing process.
论文关键词：Narrative complexity,Writing support,Information entropy,Knowledge distribution model,Kullback–Leibler divergence
论文评审过程：Received 13 October 2015, Revised 23 December 2015, Accepted 12 January 2016, Available online 22 January 2016, Version of Record 16 February 2016.
论文官网地址：https://doi.org/10.1016/j.eswa.2016.01.019
