Analyzing Midair Object Pointing Mappings for Smart Display Input

2021 ◽  
Vol 5 (ISS) ◽  
pp. 1-18
Author(s):  
Futian Zhang ◽  
Sachi Mizobuchi ◽  
Wei Zhou ◽  
Edward Lank

One common task when controlling smart displays is the manipulation of menu items. Given current examples of smart displays that support distant bare hand control, in this paper we explore menu item selection tasks with three different mappings of barehand movement to target selection. Through a series of experiments, we demonstrate that Positional mapping is faster than other mappings when the target is visible but requires many clutches in large targeting spaces. Rate-based mapping is, in contrast, preferred by participants due to its perceived lower effort, despite being slightly harder to learn initially. Tradeoffs in the design of target selection in smart tv displays are discussed.

Author(s):  
Barbara S. Chaparro ◽  
Gary Minnaert ◽  
Chad Phipps

Author(s):  
Robert A. Virzi ◽  
John S. Huitema

Recent guidelines intended for designers of telephone menus for Interactive Voice Response (IVR) systems advocate keeping menus to four or fewer items. Additional items, the guidelines recommend, should appear on a secondary menu accessible from the first. The current study compared this deep-menu approach to a broad-menu approach wherein all the items appear on a single menu. Item selection times favored the broad-menu approach for both repeated and unique trials, casting some doubt on the validity of this particular guideline.


Author(s):  
Sean T. Hayes ◽  
Julie A. Adams

Smartphones pose new design challenges for precise interactions, prompting the development of indirect interaction techniques that improve performance by reducing the occlusion caused by touch input. Direct touch interaction (e.g., tap to select) is imprecise, due to occlusion and the finger’s surface area. Many cursor-based interaction techniques address this issue; however, these techniques do not dynamically adjust the control-to-display movement ratio ( CDratio ) to improve accuracy and interaction times. This paper analyzes the performance benefits of applying adaptive CDratio enhancements to smartphone interaction for target-selection tasks. Existing desktop computer enhancements and a new enhancement method, Magnetic Targets, are compared. Magnetic Targets resulted in significantly shorter target selection times compared to the existing enhancements. Further, a simple method that combined enhancements to provide a CDratio based on a greater context of the interactions demonstrated performance improvements.


Author(s):  
Juan Sebastián Casallas ◽  
James H. Oliver ◽  
Jonathan W. Kelly ◽  
Frédéric Merienne ◽  
Samir Garbaya

Author(s):  
Sai-Keung Wong ◽  
Kai-Min Chen ◽  
Ting-Yu Chen

We present an interactive system using one RGB-D sensor, which allows a user to use bare hands to perform sand drawing. Our system supports the common sand drawing functions, such as sand erosion, sand spilling, and sand leaking. To use hands to manipulate the virtual sand, we design four key hand gestures. The idea is that the gesture of one hand controls the drawing actions. The motion and gesture of the other hand control the drawing positions. There are three major steps. First, our system adopts a vision-based bare-hand detection method which computes the hand position and recognizes the hand gestures. Second, the drawing positions and the drawing actions are sent to a sand drawing subsystem. Finally, the subsystem performs the sand drawing actions. Experimental results show that our system enables users to draw a rich variety of sand pictures.


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