Title :
ICE-Lasso: An enhanced form of Lasso selection
Author :
Dehmeshki, Hoda ; Stuerzlinger, Wolfgang
Author_Institution :
Comput. Sci. & Eng. Dept., York Univ., Toronto, ON, Canada
Abstract :
Lasso selection tends to be inefficient in many circumstances such as selecting spatially large clusters. ICE-Lasso is a novel technique that infers likely target clusters during an ongoing lasso gesture. It provides efficient gesture-based interaction techniques as shortcuts to select partial, complete, and multiple clusters. Additionally, it is overloaded on the traditional lasso via automatic mode switching. A comparative user study show that ICE-Lasso is significantly more efficient than lasso and also well-liked by users.
Keywords :
graphical user interfaces; interactive systems; pattern clustering; ICE-Lasso; Lasso selection enhanced form; automatic mode switching; gesture based interaction technique; Computer science; Displays; Graphical user interfaces; History; Ink; Jitter; Laser feedback; Spatial resolution; Switches; Visualization;
Conference_Titel :
Science and Technology for Humanity (TIC-STH), 2009 IEEE Toronto International Conference
Conference_Location :
Toronto, ON
Print_ISBN :
978-1-4244-3877-8
Electronic_ISBN :
978-1-4244-3878-5
DOI :
10.1109/TIC-STH.2009.5444424