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Investigating VR Game Player Experience via Remote Experimentation using the Player Experience Inventory

Ip, Ivan; Sweetser Kyburz, Penny

Description

This research explores player experience of virtual reality (VR) games through two stages of study. In both stages, we employed the Player Experience Inventory (PXI), a validated tool designed to evaluate player experience. In Stage 1, player experience of VR games was investigated via an online survey with 100 participants. We found that Audio-Visual Appeal, Immersion, and Ease of Control contributed most to player experience in VR games. We found no relationship between player experience and...[Show more]

dc.contributor.authorIp, Ivan
dc.contributor.authorSweetser Kyburz, Penny
dc.date.accessioned2021-10-05T00:15:33Z
dc.identifier.urihttp://hdl.handle.net/1885/250447
dc.description.abstractThis research explores player experience of virtual reality (VR) games through two stages of study. In both stages, we employed the Player Experience Inventory (PXI), a validated tool designed to evaluate player experience. In Stage 1, player experience of VR games was investigated via an online survey with 100 participants. We found that Audio-Visual Appeal, Immersion, and Ease of Control contributed most to player experience in VR games. We found no relationship between player experience and age, time spent playing, VR experience, or VR headset. Stage 2 used remote experimentation to compare VR and non-VR games with 10 participants. We found that differences in player experience can be explained by the Immersion, Progress Feedback, and Curiosity constructs of the PXI.
dc.format.mimetypeapplication/pdf
dc.language.isoen_AU
dc.publisherACM
dc.relation.ispartof33rd Australian Conference on Human-Computer Interaction (OzCHI)
dc.rights© 2021 Association for Computing Machinery.
dc.subjectvirtual reality
dc.subjectvideo games
dc.subjectenjoyment
dc.subjectplayer experience
dc.titleInvestigating VR Game Player Experience via Remote Experimentation using the Player Experience Inventory
dc.typeConference paper
dc.date.issued2021-11-30
local.identifier.ariespublicationu6662439xPUB25
local.publisher.urlhttps://www.acm.org/
local.type.statusSubmitted Version
local.contributor.affiliationSweetser Kyburz, P., School of Computing, CECS, The Australian National University
local.description.embargo2099-12-31
local.bibliographicCitation.startpage1
local.bibliographicCitation.lastpage14
local.identifier.doi10.1145/1122445.1122456
CollectionsANU Research Publications

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