Towards a Constraints Approach to Generating Personalised Horror Film Variants

Malcolm McNeely, Julie Porteous, Joao Ferreira, Alan Lindsay

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    Abstract

    In this work we explore the use of a Constraint Programming (CP) model for the selection of suitable filmic content to use to output a horror narrative in a way that is personalised to a particular viewer type. We adopt a bipartite representation of narrative where planning is used to generate an outline narrative and then CP is used to build the discourse presentation: the filmic variant that is presented to the viewer. In the paper we overview our model and illustrate it with example horror variants generated by our prototype system. We also present an analysis of sample filmic sequences output by the system along with the results of a small user evaluation which demonstrate the potential of the approach.
    Original languageEnglish
    Publication statusPublished - 2017
    EventWorkshop on Constraint Satisfaction Techniques for Planning and Scheduling Problems 2017 - Pittsburgh, United States
    Duration: 19 Jun 201720 Jun 2017

    Workshop

    WorkshopWorkshop on Constraint Satisfaction Techniques for Planning and Scheduling Problems 2017
    Abbreviated titleCOPLAS 2017
    CountryUnited States
    CityPittsburgh
    Period19/06/1720/06/17

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  • Cite this

    McNeely, M., Porteous, J., Ferreira, J., & Lindsay, A. (2017). Towards a Constraints Approach to Generating Personalised Horror Film Variants. Paper presented at Workshop on Constraint Satisfaction Techniques for Planning and Scheduling Problems 2017, Pittsburgh, United States.