Leveraging finger identification to integrate multi-touch command selection and parameter manipulation

被引：14

作者：

Goguey, Alix ^{[1
]}

Vogel, Daniel ^{[2
]}

Chevalier, Fanny ^{[1
]}

Pietrzak, Thomas ^{[3
]}

Roussel, Nicolas ^{[1
]}

Casiez, Gery ^{[3
]}

机构：

[1] Inria Lille Nord Europe, 40 Ave Halley, F-59650 Villeneuve Dascq, France

[2] Univ Waterloo, Cheriton Sch Comp Sci, Waterloo, ON, Canada

[3] Univ Lille, Cite Sci, F-59650 Villeneuve Dascq, France

来源：

INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES | 2017年 / 99卷

关键词：

Multi-touch; Finger identification; Shortcuts; Command selection; Parameter control; Direct manipulation; TIME;

D O I：

10.1016/j.ijhcs.2016.11.002

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Identifying which fingers are touching a multi-touch surface provides a very large input space. We describe FingerCuts, an interaction technique inspired by desktop keyboard shortcuts to exploit this potential. FingerCuts enables integrated command selection and parameter manipulation, it uses feed-forward and feedback to increase discoverability, it is backward compatible with current touch input techniques, and it is adaptable for different touch device form factors. We implemented three variations of FingerCuts, each tailored to a different device form factor: tabletop, tablet, and smartphone. Qualitative and quantitative studies conducted on the tabletop suggests that with some practice, FingerCuts is expressive, easy-to-use, and increases a sense of continuous interaction flow and that interaction with FingerCuts is as fast, or faster than using a graphical user interface. A theoretical analysis of FingerCuts using the Fingerstroke-Level Model (FLM) matches our quantitative study results, justifying our use of FLM to analyse and validate the performance for the other device form factors.

引用

页码：21 / 36

页数：16