Final published version
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
TY - GEN
T1 - Personal clipboards for individual copy-and-paste on shared multi-user surfaces
AU - Schmidt, Dominik
AU - Sas, Corina
AU - Gellersen, Hans
PY - 2013
Y1 - 2013
N2 - Clipboards are omnipresent on today's personal computing platforms. They provide copy-and-paste functionalities that let users easily reorganize information and quickly transfer data across applications. In this work, we introduce personal clipboards to multi-user surfaces. Personal clipboards enable individual and independent copy-and-paste operations, in the presence of multiple users concurrently sharing the same direct-touch interface. As common surface computing platforms do not distinguish touch input of different users, we have developed clipboards that leverage complementary personalization strategies. Specifically, we have built a context menu clipboard based on implicit user identification of every touch, a clipboard based on personal subareas dynamically placed on the surface, and a handheld clipboard based on integration of personal devices for surface interaction. In a user study, we demonstrate the effectiveness of personal clipboards for shared surfaces, and show that different personalization strategies enable clipboards, albeit with different impacts on interaction characteristics.
AB - Clipboards are omnipresent on today's personal computing platforms. They provide copy-and-paste functionalities that let users easily reorganize information and quickly transfer data across applications. In this work, we introduce personal clipboards to multi-user surfaces. Personal clipboards enable individual and independent copy-and-paste operations, in the presence of multiple users concurrently sharing the same direct-touch interface. As common surface computing platforms do not distinguish touch input of different users, we have developed clipboards that leverage complementary personalization strategies. Specifically, we have built a context menu clipboard based on implicit user identification of every touch, a clipboard based on personal subareas dynamically placed on the surface, and a handheld clipboard based on integration of personal devices for surface interaction. In a user study, we demonstrate the effectiveness of personal clipboards for shared surfaces, and show that different personalization strategies enable clipboards, albeit with different impacts on interaction characteristics.
U2 - 10.1145/2470654.2466457
DO - 10.1145/2470654.2466457
M3 - Conference contribution/Paper
SN - 9781450318990
SP - 3335
EP - 3344
BT - CHI '13 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
PB - ACM
CY - New York
T2 - CHI 2013 "Changing Perspectives"
Y2 - 27 April 2013 through 2 May 2013
ER -