191 research outputs found

    Supporting Memorization and Problem Solving with Spatial Information Presentations in Virtual Environments

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    While it has been suggested that immersive virtual environments could provide benefits for educational applications, few studies have formally evaluated how the enhanced perceptual displays of such systems might improve learning. Using simplified memorization and problem-solving tasks as representative approximations of more advanced types of learning, we are investigating the effects of providing supplemental spatial information on the performance of learning-based activities within virtual environments. We performed two experiments to investigate whether users can take advantage of a spatial information presentation to improve performance on cognitive processing activities. In both experiments, information was presented either directly in front of the participant or wrapped around the participant along the walls of a surround display. In our first experiment, we found that the spatial presentation caused better performance on a memorization and recall task. To investigate whether the advantages of spatial information presentation extend beyond memorization to higher level cognitive activities, our second experiment employed a puzzle-like task that required critical thinking using the presented information. The results indicate that no performance improvements or mental workload reductions were gained from the spatial presentation method compared to a non-spatial layout for our problem-solving task. The results of these two experiments suggest that supplemental spatial information can support performance improvements for cognitive processing and learning-based activities, but its effectiveness is dependent on the nature of the task and a meaningful use of space

    Development of a Collaborative Design Tool for Structural Analysis in an Immersive Virtual Environment

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    This paper contains the results of an on-going collaborative research effort by the departments of Architecture and Computer Science of Virginia Polytechnic Institute and State University, U.S.A., to develop a computer visualization application for the structural analysis of building structures. The VIRTUAL-SAP computer program is being developed by linking PC-SAP4 (Structural Analysis Program), and virtual environment software developed using the SVE (Simple Virtual Environment) library. VIRTUAL-SAP is intended for use as a collaborative design tool to facilitate the interaction between the architect, engineer, and contractor by providing an environment that they can walk-through and observe the consequences of design alterations. Therefore, this software can be used as an interactive computer-aided analysis of building systems

    Usability Evaluation in Virtual Environments: Classification and Comparison of Methods

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    Virtual environments (VEs) are a relatively new type of human-computer interface in which users perceive and act in a three-dimensional world. The designers of such systems cannot rely solely on design guidelines for traditional two-dimensional interfaces, so usability evaluation is crucial for VEs. We present an overview of VE usability evaluation. First, we discuss some of the issues that differentiate VE usability evaluation from evaluation of traditional user interfaces such as GUIs. We also present a review of VE evaluation methods currently in use, and discuss a simple classification space for VE usability evaluation methods. This classification space provides a structured means for comparing evaluation methods according to three key characteristics: involvement of representative users, context of evaluation, and types of results produced. To illustrate these concepts, we compare two existing evaluation approaches: testbed evaluation [Bowman, Johnson, & Hodges, 1999], and sequential evaluation [Gabbard, Hix, & Swan, 1999]. We conclude by presenting novel ways to effectively link these two approaches to VE usability evaluation

    Pinch Keyboard: Natural Text Input for Immersive Virtual Environments

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    Text entry may be needed for system control tasks in immersive virtual environments, but no efficient and usable techniques exist. We present the pinch keyboard interaction technique, which simulates a standard QWERTY keyboard using Pinch Gloves™ and 6 DOF trackers. The system includes visual and auditory feedback and a simple method of calibration

    Map-Based Navigation in a Graphical MOO

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    Traditional MUDs and MOOs lack support for global wareness and simple navigation. These problems can be addressed by the introduction of a map-based navigation tool. In this paper we report on the design and evaluation of such a tool for MOOsburg, a graphical 2D MOO based on the town of Blacksburg, Virginia. The tool supports exploration and place-based tasks in the MOO. It also allows navigation of a large-scale map and encourages users to develop survey knowledge of the town. An evaluation revealed some initial usability problems with our prototype and suggested new design ideas that may better support users. Using these results, the lessons learned about map-based navigation are presented

    Evaluation of the Effectiveness of Cloning Techniques for Architectural Virtual Environments

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    We made the first attempt towards building effective domain-specific interaction techniques for a cloning task. Five interaction techniques were designed and evaluated considering different aspects of domain requirements and human limitations. We demonstrated their effectiveness of designed techniques in two usability studies. The results suggested that no single technique is best for all task conditions. Techniques designed for cloning improved the domain task performance profoundly. The work suggests a further direction: passing domain knowledge to the design process to increase the usefulness of VEs

    Effects of Active Exploration and Passive Observation on Spatial Learning in a CAVE

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    This experiment was a modification of Paul N. Wilson's 1999 study entitled "Active Exploration of a Virtual Environment Does Not Promote Orientation or Memory for Objects." It was hoped that changing the immersion level from a standard desktop monitor to a more immersive CAVE environment would change the results of this experiment. All subjects explored a three-dimensional virtual environment in a CAVE. Active subjects were given controls to choose their own path and explore the environment. Passive subjects watched a playback tour through the virtual environment. A unique active subject determined the tour for each passive subject. Each subject was asked to remember the objects they saw, their locations, and the floor plan of the environment. Afterward, subjects were asked to indicate the direction to another location that was not visible from the current location. Other object memory tests required recalling the location of each object and indicating it on a plan view of the environment. Similar to Wilson's experiment, this experiment yielded no significant indication that active exploration or passive observation changes the level of spatial learning

    A Human Motor Behavior Model for Direct Pointing at a Distance

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    Models of human motor behavior are well known as an aid in the design of user interfaces (UIs). Most current models apply primarily to desktop interaction, but with the development of non-desktop UIs, new types of motor behaviors need to be modeled. Direct Pointing at a Distance is such a motor behavior. A model of direct pointing at a distance would be particularly useful in the comparison of different interaction techniques, because the performance of such techniques is highly dependent on user strategy, making controlled studies difficult to perform. Inspired by Fitts’ law, we studied four possible models and concluded that movement time for a direct pointing task is best described as a function of the angular amplitude of movement and the angular size of the target. Contrary to Fitts’ law, our model shows that the angular size has a much larger effect on movement time than the angular amplitude and that the growth in the difficulty of the tasks is quadratic, rather then linear. We estimated the model’s parameters experimentally with a correlation coefficient of 96%
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