McCready, Michael (2023) Enhancing Player Experience in Asymmetric VR Games. Master of Science by Research (MScRes) thesis, University of Kent,. (doi:10.22024/UniKent/01.02.102742) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:102742)
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Language: English Restricted to Repository staff only until August 2024.
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Official URL: https://doi.org/10.22024/UniKent/01.02.102742 |
Abstract
Interest in multiplayer games that allow players to connect and play together using different technologies, such as virtual or augmented reality (VR/AR) has increased. Research has shown that in cross-reality gaming experiences (eg. where there are differences in players' abilities, user interface (UI), and methods of interaction) it is possible to achieve an enhanced player experience (PX) through various interdependencies. However, most of the previous work focuses on co-located scenarios, where the space and proximity of the players are local and utilised. In this study, I present an asymmetric VR game prototype called LabXscape. Through the prototype, I researched how asymmetries of interface, methods of interaction, information access, and narrative impact the PX for players using different technologies (eg. VR, mobile, PC). In this asymmetric VR game prototype, players can use different devices. Their interactions, movements, and information infuence and are shared with each other, creating a cross-reality experience. My observations reveal that there are factors that allow non-VR players to have as engaging an experience as VR players, despite using a less immersive device.
Item Type: | Thesis (Master of Science by Research (MScRes)) |
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Thesis advisor: | Covaci, Alexandra |
Thesis advisor: | Tabbaa, Luma |
DOI/Identification number: | 10.22024/UniKent/01.02.102742 |
Uncontrolled keywords: | Virtual reality, mixed reality, augmented reality, augmented virtuality, gameplay, narrative, multiplayer, asymmetric, asymmetric vr, cross-reality |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
SWORD Depositor: | System Moodle |
Depositing User: | System Moodle |
Date Deposited: | 09 Sep 2023 10:10 UTC |
Last Modified: | 11 Sep 2023 09:01 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/102742 (The current URI for this page, for reference purposes) |
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