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Representing amphibian perspectives in a 3D game engine

Representing amphibian perspectives in a 3D game engine

Lawal, Raheem A., Weinel, Jonathan ORCID: 0000-0001-5347-3897 and Gent, Darrenlloyd (2023) Representing amphibian perspectives in a 3D game engine. In: Proceedings of EVA London 2023 (EVA 2023). Electronic Workshops in Computing . BCS Learning and Development Ltd, Arts BCS London Office London, UK, pp. 233-235. (doi:

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First Person Shooters (FPS) have dominated the gaming landscape, as evidenced by successful titles such as Call of Duty: Black Ops (Treyarch 2005-present) selling more than 30 million units (Clement 2022). Although first-person perspective is particularly associated with FPS games, this viewpoint is found in a wide variety of genres from horror and survival games, to puzzle platformers. For instance, first-person perspective can be found in simulation games such as PowerWash Simulator (FuturLab 2003-present), and House Flipper (Frozen District 2014–present). Exploring this area, this project investigates recreating an amphibian’s sensory experience, from a first-person point of view using a 3D game engine. Amphibians and in particular the Texas Blind Salamanders were chosen as they have unusual sensory perceptions that differ from people. They do not experience the world the same way that we would, which creates an interesting challenge to represent them in an audio-visual game engine. For the purposes of this project, this will be achieved by looking at what already exists in the gaming market; identifying possible approaches of non-human representation; and focusing on recreating these experiences through the design and development of a prototype in the Unity game engine.

Item Type: Conference Proceedings
Title of Proceedings: Proceedings of EVA London 2023 (EVA 2023)
Uncontrolled Keywords: game engines; first-person representations; simulations; amphibians
Subjects: G Geography. Anthropology. Recreation > GV Recreation Leisure
N Fine Arts > N Visual arts (General) For photography, see TR
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS)
Faculty of Liberal Arts & Sciences
Faculty of Liberal Arts & Sciences > Sound-Image Research Group
Last Modified: 07 Jul 2023 13:03

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