Brown Computer Graphics Group

Comparing Different Methods For Selecting Objects in a VR environment: A User Study

One of the most important components of an interactive computer graphics application is its user interface (UI). A UI encompasses all of the elements involved in human computer interaction including the hardware input and output devices, the design and arrangement of graphical elements on a display, and the interaction dialogue that a user holds with an application. Numerous guidelines for user interface design have been proposed and implemented for windows, icons, menus and pointers (WIMP) interfaces on desktop computers, including those for Macintosh, Windows and Motif. This style of interface is the accepted standard for most desktop operating systems and applications today. In contrast, the discipline of user interface design for interactive 3D graphics applications is still young compared to 2D UI design. Although many interaction techniques have been implemented and used in interactive 3D graphics applications, little is known about which techniques are successful and why. This is partly because very few formal studies have been performed to test these interaction techniques [Houde][UVA]. This paper outlines our proposed user study for selection techniques in VR.

Interaction techniques for 3D graphics applications can be roughly separated into three categories: those for selecting objects, those for manipulating objects, and those for navigating by modifying the viewpoint. The proposed user study will focus only on interaction techniques for selecting objects. We will compare a number of techniques to determine which are better for specific selection tasks. We hope that the results of this study will help direct future interface development for virtual environments.

We will use three criteria to judge the effectiveness of an interaction technique for selecting objects: learnability, usability and precision. This study will measure each of these criteria for a number of selection techniques. We hope to determine which selection method is the most useful for a given task.

Learnability refers to the amount of time and effort it takes to learn how to use a given technique effectively. Usability indicates the efficiency with which a selection technique can be used once a user is familiar with it. Precision refers to the accuracy with which a selection technique can be used to specify the object the subject wants to select.

In our tests, we will measure learnability by the amount of time it takes a subject to become comfortable with the interaction technique, usability by how successfully and quickly a subject can perform tasks, and precision by how accurately a subject can select the target object. A more detailed description of how we will measure these criteria will be discussed in the proposal we wrote.

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