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dc.contributor.author김지은-
dc.date.accessioned2017-05-24T04:50:50Z-
dc.date.available2017-05-24T04:50:50Z-
dc.date.issued2015-09-
dc.identifier.citationHUMAN MOVEMENT SCIENCE, v. 44, Page. 211-224en_US
dc.identifier.issn0167-9457-
dc.identifier.issn1872-7646-
dc.identifier.urihttp://www.sciencedirect.com/science/article/pii/S0167945715300373-
dc.identifier.urihttp://hdl.handle.net/20.500.11754/27428-
dc.description.abstractThe growing popularity of gaming applications and ever-faster mobile carrier networks have called attention to an intriguing issue that is closely related to command input performance. A challenging mirroring game service, which simultaneously provides game service to both PC and mobile phone users, allows them to play games against each other with very different control interfaces. Thus, for efficient mobile game design, it is essential to apply a new predictive model for measuring how potential touch input compares to the PC interfaces. The present study empirically tests the keystroke-level model (KLM) for predicting the time performance of basic interaction controls on the touch-sensitive smart-phone interface (i.e., tapping, pointing, dragging, and flicking). A modified KLM, tentatively called the fingerstroke-level model (FLM), is proposed using time estimates on regression models. (C) 2015 Elsevier B.V. All rights reserved.en_US
dc.description.sponsorshipThis work was supported by the research fund of Hanyang University in South Korea (HY-201400000001033).en_US
dc.language.isoenen_US
dc.publisherELSEVIER SCIENCE BVen_US
dc.subjectMobile gameen_US
dc.subjectFingerstroke-level model (FLM)en_US
dc.subjectRegression modelen_US
dc.subjectFinger movementen_US
dc.titleFingerstroke time estimates for touchscreen-based mobile gaming interactionen_US
dc.typeArticleen_US
dc.relation.volume44-
dc.identifier.doi10.1016/j.humov.2015.09.003-
dc.relation.page211-224-
dc.relation.journalHUMAN MOVEMENT SCIENCE-
dc.contributor.googleauthorLee, Ahreum-
dc.contributor.googleauthorSong, Kiburm-
dc.contributor.googleauthorRyu, Hokyoung Blake-
dc.contributor.googleauthorKim, Jieun-
dc.contributor.googleauthorKwon, Gyuhyun-
dc.relation.code2015001997-
dc.sector.campusS-
dc.sector.daehakGRADUATE SCHOOL OF TECHNOLOGY & INNOVATION MANAGEMENT[S]-
dc.sector.departmentDEPARTMENT OF TECHNOLOGY MANAGEMENT-
dc.identifier.pidjkim2-
dc.identifier.researcherIDP-1612-2015-


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