Fingerstroke time estimates for touchscreen-based mobile gaming interaction
- Title
- Fingerstroke time estimates for touchscreen-based mobile gaming interaction
- Author
- 류호경
- Keywords
- Mobile game; Fingerstroke-level model (FLM); Regression model; Finger movement
- Issue Date
- 2015-09
- Publisher
- ELSEVIER SCIENCE BV
- Citation
- HUMAN MOVEMENT SCIENCE, v. 44, Page. 211-224
- 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 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.
- URI
- http://www.sciencedirect.com/science/article/pii/S0167945715300373http://hdl.handle.net/20.500.11754/27427
- ISSN
- 0167-9457; 1872-7646
- DOI
- 10.1016/j.humov.2015.09.003
- Appears in Collections:
- GRADUATE SCHOOL OF TECHNOLOGY & INNOVATION MANAGEMENT[S](기술경영전문대학원) > TECHNOLOGY MANAGEMENT(기술경영학과) > Articles
- Files in This Item:
There are no files associated with this item.
- Export
- RIS (EndNote)
- XLS (Excel)
- XML