DocumentCode :
2636230
Title :
Evaluation of large display interaction using smart phones
Author :
Bauer, Jens ; Thelen, Sebastian ; Ebert, Achim
Author_Institution :
Comput. Graphics & HCI Lab., Univ. of Kaiserslautern, Kaiserslautern, Germany
fYear :
2011
fDate :
23-28 Oct. 2011
Firstpage :
265
Lastpage :
266
Abstract :
Visual analytics, “the science of analytical reasoning facilitated by visual interactive interfaces” [5], puts high demands on the applications visualization as well as interaction capabilities. Due to their size large high-resolution screens have become popular display devices, especially when used in collaborative data analysis scenarios. However, traditional interaction methods based on combinations of computer mice and keyboards often do not scale to the number of users or the size of the display. Modern smart phones featuring multi-modal input/output and considerable memory offer a way to address these issues. In the last couple of years they have become common everyday life gadgets. In this paper we conduct an extensive user study comparing the experience of test candidates when using traditional input devices and metaphors with the one when using new smart phone based techniques, like multi-modal drag and tilt. Candidates were asked to complete various interaction tasks relevant for most applications on a large, monitor-based, high-resolution tiled wall system. Our study evaluates both user performance and satisfaction, identifying strengths and weaknesses of the researched interaction methods in specific tasks. Results reveal good performance of users in certain tasks when using the new interaction techniques. Even first-time users were able to complete a task faster with the smart phone than with traditional devices.
Keywords :
computer displays; data analysis; data visualisation; graphical user interfaces; smart phones; analytical reasoning; collaborative data analysis scenarios; computer mice; keyboards; large display interaction evaluation; metaphors; smart phone based techniques; strength-weakness identification; traditional input devices; user performance; user satisfaction; visual analytics; visual interactive interfaces; Computers; Keyboards; Mice; Performance evaluation; Smart phones; Stacking; Three dimensional displays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Visual Analytics Science and Technology (VAST), 2011 IEEE Conference on
Conference_Location :
Providence, RI
Print_ISBN :
978-1-4673-0015-5
Type :
conf
DOI :
10.1109/VAST.2011.6102466
Filename :
6102466
Link To Document :
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