From DOOM to duty: The evolution of design patterns in first person shooters
Conference Presentation
Authors | Voorhis, Dave and Thompson, Tommy |
---|---|
Type | Conference Presentation |
Abstract | This paper presents preliminary work in analysis of first-person shooter (FPS) games through use of design patterns. This work adopts existing taxonomies in an effort to establish whether new models are required and how well existing literature holds across the FPS genre. Motivation for the research is driven by a need to further understand patterns of FPS play and the constraints applied to them. This in-turn would allow not only for continued research in automated game design (and notably procedural content generation) of FPS games, but also establish whether existing research in other genres would prove useful for this domain. |
This paper presents preliminary work in analysis of first-person shooter (FPS) games through | |
Keywords | Artificial intelligence; Design patterns; Procedural generation; Video games; Game design |
Year | 2016 |
Journal | Foundation of Digital Games Conference 2016 |
Publisher | Digital Games Research Association |
Web address (URL) | http://hdl.handle.net/10545/620823 |
hdl:10545/620823 | |
File | File Access Level Open |
Publication dates | 01 Aug 2016 |
Publication process dates | |
Deposited | 14 Nov 2016, 10:59 |
Contributors | University of Derby and Anglia Ruskin University |
https://repository.derby.ac.uk/item/93wv8/from-doom-to-duty-the-evolution-of-design-patterns-in-first-person-shooters
Download files
120
total views0
total downloads7
views this month0
downloads this month
Export as
Related outputs

Rel: The 'true' relational model for desktop data processing.
Voorhis, Dave 2017. Rel: The 'true' relational model for desktop data processing. University of Derby.
Tools and technologies for the implementation of Big Data.
Self, Richard and Voorhis, Dave 2015. Tools and technologies for the implementation of Big Data. in: Elsevier.
Ensemble of ESA/AATSR aerosol optical depth products based on the likelihood estimate method with uncertainties
Xie, Yanqing, Xue, Yong, Che, Yahui, Guang, Jie, Mei, Linlu, Voorhis, Dave, Fan, Cheng, She, Lu and Xu, Hui 2017. Ensemble of ESA/AATSR aerosol optical depth products based on the likelihood estimate method with uncertainties. IEEE Transactions on Geoscience and Remote Sensing. https://doi.org/10.1109/TGRS.2017.2757910
Rel
Voorhis, Dave 2016. Rel.
Tools and technologies for the implementation of Big Data
Self, Richard and Voorhis, Dave 2015. Tools and technologies for the implementation of Big Data. in: Butterworth-Heinemann.
Rel
Voorhis, Dave 2004. Rel.
Planning in the Cloud: Massively Parallel Planning
Voorhis, Dave and Thompson, Tommy 2014. Planning in the Cloud: Massively Parallel Planning. IEEE Computer Society. https://doi.org/10.1109/UCC.2014.67
Designing Big Data Analytics Undergraduate and Postgraduate Programmes for Employability
Self, Richard and Voorhis, Dave 2014. Designing Big Data Analytics Undergraduate and Postgraduate Programmes for Employability.
Novel Approaches to Learning and Teaching SAS-based Analytics
Self, Richard and Voorhis, Dave 2013. Novel Approaches to Learning and Teaching SAS-based Analytics. BDA EdCon.