title: Fingerstroke time estimates for touchscreen-based mobile gaming interaction.
abstract: The 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 smartphone 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.
authors.affiliation: Department of Industrial Engineering, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul 04730, South Korea. Electronic address: ahrmlee@hanyang.ac.kr.
authors.forename: Ahreum
authors.initials: A
authors.lastname: Lee
authors.affiliation: Department of Industrial Engineering, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul 04730, South Korea. Electronic address: ksong@hanyang.ac.kr.
authors.forename: Kiburm
authors.initials: K
authors.lastname: Song
authors.affiliation: The Graduate School of Technology & Innovation Management, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul 04730, South Korea. Electronic address: hryu@hanyang.ac.kr.
authors.forename: Hokyoung Blake
authors.initials: HB
authors.lastname: Ryu
authors.affiliation: The Graduate School of Technology & Innovation Management, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul 04730, South Korea. Electronic address: jkim2@hanyang.ac.kr.
authors.forename: Jieun
authors.initials: J
authors.lastname: Kim
authors.affiliation: The Graduate School of Technology & Innovation Management, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul 04730, South Korea. Electronic address: ghkwon@hanyang.ac.kr.
authors.forename: Gyuhyun
authors.initials: G
authors.lastname: Kwon
mesh_terms: D000328:Adult; D004215:Distance Perception; D005260:Female; D006801:Humans; D008297:Male; D011597:Psychomotor Performance; D011930:Reaction Time; D012858:Size Perception; D000068997:Smartphone; D014110:Touch; D018910:Video Games; D055815:Young Adult
keywords: Finger movement; Fingerstroke-level model (FLM); Mobile game; Regression model