Using planning with action preference in story generation

Xiaobo Li, Samiullah Paracha, Jiao Wu, Osamu Yoshie

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Nowadays, plenty of researches focus on story generation which is widely used in computer games, education and training applications. It is highly desirable that the generated story should afford high user agency and at same time having capabilities to address user's interventions. In this paper, we apply planning, which is derived from artificial intelligence, to achieve this objective. With the use of planning, several solutions are produced, which contains a sequence of user's and system agents' actions. In addition, we propose the concept of Action Preference, which takes into account user's feedbacks, to evaluate all of the solutions after planning. Meanwhile a variant of hyperbolic tangent is utilized to calculate Action Preference. In order to evaluate its feasibility, an educational game was implemented on the basis of story generation. That result proves that planning with Action Preference is an effective approach in story generation.

Original languageEnglish
Title of host publicationACM International Conference Proceeding Series
Pages555-558
Number of pages4
DOIs
Publication statusPublished - 2013
Event11th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2013 - Vienna
Duration: 2013 Dec 22013 Dec 4

Other

Other11th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2013
CityVienna
Period13/12/213/12/4

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Keywords

  • Action preference
  • Gamification
  • Planning
  • Story generation

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

Cite this

Li, X., Paracha, S., Wu, J., & Yoshie, O. (2013). Using planning with action preference in story generation. In ACM International Conference Proceeding Series (pp. 555-558) https://doi.org/10.1145/2536853.2536924