Towards a Constraints Approach to Generating Personalised Horror Film Variants

Hdl Handle:
http://hdl.handle.net/10149/621163
Title:
Towards a Constraints Approach to Generating Personalised Horror Film Variants
Authors:
McNeely, M. (Malcolm); Porteous, J. (Julie); Ferreira, J. F. (João); Lindsay, A. (Alan)
Affiliation:
Teesside University. Digital Futures Institute
Citation:
McNeely, M., Porteous, J., Ferreira, J. F., Lindsay, A. (2017) 'Towards a Constraints Approach to Generating Personalised Horror Film Variants' Workshop on Constraint Satisfaction Techniques for Planning and Scheduling Problems (COPLAS) 2017, 19-20 June 2017, Pittsburgh, USA
Publisher:
AAAI
Conference:
Workshop on Constraint Satisfaction Techniques for Planning and Scheduling Problems (COPLAS) 2017, 19-20 June 2017, Pittsburgh, USA
Issue Date:
2017
URI:
http://hdl.handle.net/10149/621163
Additional Links:
https://www.aaai.org/
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.
Type:
Meetings and Proceedings
Language:
en
Rights:
Authors can post items submitted on their own personal website or their institution or company's website prior to publication. Copyright AAAI 2016 http://www.aaai.org/Organization/organization.php For full details see http://www.aaai.org/ojs/index.php/aimagazine/about/editorialPolicies#authorSelfArchivePolicy [Accessed: 25/05/2017].

Full metadata record

DC FieldValue Language
dc.contributor.authorMcNeely, M. (Malcolm)en
dc.contributor.authorPorteous, J. (Julie)en
dc.contributor.authorFerreira, J. F. (João)en
dc.contributor.authorLindsay, A. (Alan)en
dc.date.accessioned2017-05-25T10:31:28Z-
dc.date.available2017-05-25T10:31:28Z-
dc.date.issued2017-
dc.identifier.urihttp://hdl.handle.net/10149/621163-
dc.description.abstractIn 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.en
dc.language.isoenen
dc.publisherAAAIen
dc.relation.urlhttps://www.aaai.org/en
dc.rightsAuthors can post items submitted on their own personal website or their institution or company's website prior to publication. Copyright AAAI 2016 http://www.aaai.org/Organization/organization.php For full details see http://www.aaai.org/ojs/index.php/aimagazine/about/editorialPolicies#authorSelfArchivePolicy [Accessed: 25/05/2017].en
dc.titleTowards a Constraints Approach to Generating Personalised Horror Film Variantsen
dc.typeMeetings and Proceedingsen
dc.contributor.departmentTeesside University. Digital Futures Instituteen
dc.identifier.conferenceWorkshop on Constraint Satisfaction Techniques for Planning and Scheduling Problems (COPLAS) 2017, 19-20 June 2017, Pittsburgh, USAen
or.citation.harvardMcNeely, M., Porteous, J., Ferreira, J. F., Lindsay, A. (2017) 'Towards a Constraints Approach to Generating Personalised Horror Film Variants' Workshop on Constraint Satisfaction Techniques for Planning and Scheduling Problems (COPLAS) 2017, 19-20 June 2017, Pittsburgh, USA-
dc.eprint.versionPost-printen
dc.embargoNoneen
dc.date.accepted2017-04-24-
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