Geometrically compensating effect of end-to-end latency in moving-target selection games

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorLee, Injungen_US
dc.contributor.authorKim, Sunjunen_US
dc.contributor.authorLee, Byungjooen_US
dc.contributor.departmentDepartment of Communications and Networkingen
dc.contributor.groupauthorUser Interfacesen
dc.contributor.organizationKorea Advanced Institute of Science and Technologyen_US
dc.date.accessioned2019-09-03T13:50:49Z
dc.date.available2019-09-03T13:50:49Z
dc.date.issued2019-05-02en_US
dc.description.abstractEffects of unintended latency on gamer performance have been reported. End-to-end latency can be corrected by post-input manipulation of activation times, but this gives the player unnatural gameplay experience. For moving-target selection games such as Flappy Bird, the paper presents a predictive model of latency on error rate and a novel compensation method for the latency effects by adjusting the game’s geometry design – e.g., by modifying the size of the selection region. Without manipulation of the game clock, this can keep the user’s error rate constant even if the end-to-end latency of the system changes. The approach extends the current model of moving-target selection with two additional assumptions about the effects of latency: (1) latency reduces players’ cue-viewing time and (2) pushes the mean of the input distribution backward. The model and method proposed have been validated through precise experiments.en
dc.description.versionPeer revieweden
dc.format.extent12
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationLee, I, Kim, S & Lee, B 2019, Geometrically compensating effect of end-to-end latency in moving-target selection games. in CHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems., 560, ACM, ACM SIGCHI Annual Conference on Human Factors in Computing Systems, Glasgow, United Kingdom, 04/05/2019. https://doi.org/10.1145/3290605.3300790en
dc.identifier.doi10.1145/3290605.3300790en_US
dc.identifier.isbn9781450359702
dc.identifier.otherPURE UUID: f12b3ec9-2e7b-488e-90fa-8e2cd6700606en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/f12b3ec9-2e7b-488e-90fa-8e2cd6700606en_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/36258503/ELEC_Lee_Geometrically_compensating_chi.pdf
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/40149
dc.identifier.urnURN:NBN:fi:aalto-201909035191
dc.language.isoenen
dc.relation.fundinginfoThis research was supported by the National Research Foundation of Korea (2017R1C1B2002101, 2018R1A5A7025409). SK’s research was funded by the Aalto University Seed Funding Grant GamerLab.
dc.relation.ispartofACM SIGCHI Annual Conference on Human Factors in Computing Systemsen
dc.relation.ispartofseriesCHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systemsen
dc.rightsopenAccessen
dc.subject.keywordLatency compensationen_US
dc.subject.keywordMoving-target selectionen_US
dc.titleGeometrically compensating effect of end-to-end latency in moving-target selection gamesen
dc.typeA4 Artikkeli konferenssijulkaisussafi
dc.type.versionacceptedVersion

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