Feature Stroke: A Text Entry Method Using Joystick
Zhenyu Gu, Cheng Chu, Xingya Xu, Zhanxun Dong · International Journal of Materials Mechanics and Manufacturing · 2015
This paper presents a new text entry method, Feature Stroke (FS).FS is a predictive letter-group-based method using joysticks.26 letters are grouped and associated with 8 primitive gestures on joysticks.FS has a novel mnemonic strategy for visual feedback of uncertainty in the group-based inputting.The design of FS is aimed to improve efficiency and user experience of text entry in some special circumstances using joysticks.Multi-session test of the prototype shows that the learning curve rises quickly.And the participants' subjective evaluation is highly positive.In the non-predictive mode, pairwise test shows that skilled users' performance of FS is much better than that of the onscreen keyboard selection, the most prevalent method for joysticks so far.