Title
Empirical study of a vision-based depth-sensitive human-computer interaction system
Abstract
This paper proposes the results of a user study on vision-based depth-sensitive input system for performing typical desktop tasks through arm gestures. We have developed a vision-based HCI prototype to be used for our comprehensive usability study. Using the Kinect 3D camera and OpenNI software library we implemented our system with high stability and efficiency by decreasing the ambient disturbing factors such as noise or light condition dependency. In our prototype, we designed a capable algorithm using NITE toolkit to recognize arm gestures. Finally, through a comprehensive user experiment we compared our natural arm gestures to the conventional input devices (mouse/keyboard), for simple and complicated tasks, and in two different situations (small and big-screen displays) for precision, efficiency, ease-of-use, pleasantness, fatigue, naturalness, and overall satisfaction to verify the following hypothesis: on a WIMP user interface, the gesture-based input is superior to mouse/keyboard when using big-screen. Our empirical investigation also proves that gestures are more natural and pleasant to be used than mouse/keyboard. However, arm gestures can cause more fatigue than mouse.
Year
DOI
Venue
2012
10.1145/2350046.2350070
APCHI
Keywords
Field
DocType
conventional input device,vision-based depth-sensitive input system,gesture-based input,comprehensive user experiment,user study,vision-based depth-sensitive human-computer interaction,natural arm gesture,big-screen display,wimp user interface,empirical study,comprehensive usability study,arm gesture,3d,hci,usability,vision,input device,human computer interaction,user experience,ease of use,user interface
Computer science,Gesture,Usability,Naturalness,Gesture recognition,Software,Human–computer interaction,User interface,Multimedia,Empirical research,Input device
Conference
Citations 
PageRank 
References 
5
0.45
14
Authors
3
Name
Order
Citations
PageRank
Farzin Farhadi-Niaki190.91
Reza GhasemAghaei2152.08
Ali Arya311020.31