{"id":315245,"date":"2016-11-03T09:39:03","date_gmt":"2016-11-03T16:39:03","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=315245"},"modified":"2018-10-16T20:02:44","modified_gmt":"2018-10-17T03:02:44","slug":"design-analysis-delimiters-selection-action-pen-gesture-phrases-scriboli","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/design-analysis-delimiters-selection-action-pen-gesture-phrases-scriboli\/","title":{"rendered":"Design and Analysis of Delimiters for Selection-Action Pen Gesture Phrases in Scriboli"},"content":{"rendered":"

We present a quantitative analysis of delimiters for pen gestures. A delimiter is \u201csomething different\u201d in the input stream that a computer can use to determine the structure of input phrases. We study four techniques for delimiting a selection-action gesture phrase consisting of lasso selection plus marking-menu-based command activation. Pigtail<\/em> is a new technique that uses a small loop to delimit lasso selection from marking. Handle<\/em> adds a box to the end of the lasso, from which the user makes a second stroke for marking. Timeout<\/em> uses dwelling with the pen to delimit the lasso from the mark. Button<\/em> uses a button press to signal when to delimit the gesture. We describe the role of delimiters in our Scriboli<\/em> pen interaction testbed, and show how Pigtail supports scope selection, command activation, and direct manipulation all in a single fluid pen gesture.<\/p>\n","protected":false},"excerpt":{"rendered":"

We present a quantitative analysis of delimiters for pen gestures. A delimiter is \u201csomething different\u201d in the input stream that a computer can use to determine the structure of input phrases. We study four techniques for delimiting a selection-action gesture phrase consisting of lasso selection plus marking-menu-based command activation. Pigtail is a new technique that […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13554],"msr-publication-type":[193716],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-315245","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-human-computer-interaction","msr-locale-en_us"],"msr_publishername":"ACM","msr_edition":"CHI '05 Proceedings of the SIGCHI Conference on Human Factors in Computing 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