8,431 research outputs found

    Elastic Metaphors: Expanding the Philosophy of Interface Design

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    Tangible User Interfaces and Metaphors for 3D Navigation

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    The most fundamental and common 3D interaction is the control of the virtual camera or viewpoint, commonly referred to as navigation. The navigational requirements of controlling multiple degrees of freedom and maintaining adequate spatial awareness are big challenges to many users. Many tasks additionally demand large portions of cognitive effort from the user for non-navigational aspects. Therefore, new solutions that are simple and naturally efficient are in high demand. These major challenges to 3D navigation have yet to be satisfactorily addressed, and as a result, there has yet to be a declaration of a suitable unified 3D interaction technique or metaphor. We present a new domain and task independent 3D navigation metaphor, Navigational Puppetry, which we intend to be a candidate for the navigational portion of a unifying 3D interaction metaphor. The major components of the metaphor - the puppet, puppeteer, stage, and puppet-view - enable a new meta-navigational perspective and provide the user with a graspable navigational avatar, within a multiple-view perspective, that allows them to ‘reach’ within the virtual world and manipulate the viewpoint directly. We position this metaphor as a distinct articulation of the front wave of a puppetry related trend in recent 3D navigation solutions. The metaphor was implemented into a tangible user interface prototype called the Navi-Teer. Two usability studies and a unique spatial audio experiment were completed to observe and demonstrate, respectively, the metaphor’s benefits of tactile intimacy, spatial orientation, easy capture of complex input and support for collaboration

    Path finding on a spherical self-organizing map using distance transformations

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    Spatialization methods create visualizations that allow users to analyze high-dimensional data in an intuitive manner and facilitates the extraction of meaningful information. Just as geographic maps are simpli ed representations of geographic spaces, these visualizations are esssentially maps of abstract data spaces that are created through dimensionality reduction. While we are familiar with geographic maps for path planning/ nding applications, research into using maps of high-dimensional spaces for such purposes has been largely ignored. However, literature has shown that it is possible to use these maps to track temporal and state changes within a high-dimensional space. A popular dimensionality reduction method that produces a mapping for these purposes is the Self-Organizing Map. By using its topology preserving capabilities with a colour-based visualization method known as the U-Matrix, state transitions can be visualized as trajectories on the resulting mapping. Through these trajectories, one can gather information on the transition path between two points in the original high-dimensional state space. This raises the interesting question of whether or not the Self-Organizing Map can be used to discover the transition path between two points in an n-dimensional space. In this thesis, we use a spherically structured Self-Organizing Map called the Geodesic Self-Organizing Map for dimensionality reduction and the creation of a topological mapping that approximates the n-dimensional space. We rst present an intuitive method for a user to navigate the surface of the Geodesic SOM. A new application of the distance transformation algorithm is then proposed to compute the path between two points on the surface of the SOM, which corresponds to two points in the data space. Discussions will then follow on how this application could be improved using some form of surface shape analysis. The new approach presented in this thesis would then be evaluated by analyzing the results of using the Geodesic SOM for manifold embedding and by carrying out data analyses using carbon dioxide emissions data

    Spatial-semantics: How users derive shape from information space

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    Navigating Immersive and Interactive VR Environments With Connected 360° Panoramas

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    Emerging research is expanding the idea of using 360-degree spherical panoramas of real-world environments for use in 360 VR experiences beyond video and image viewing. However, most of these experiences are strictly guided, with few opportunities for interaction or exploration. There is a desire to develop experiences with cohesive virtual environments created with 360 VR that allow for choice in navigation, versus scripted experiences with limited interaction. Unlike standard VR with the freedom of synthetic graphics, there are challenges in designing appropriate user interfaces (UIs) for 360 VR navigation within the limitations of fixed assets. To tackle this gap, we designed RealNodes, a software system that presents an interactive and explorable 360 VR environment. We also developed four visual guidance UIs for 360 VR navigation. The results of a pilot study showed that choice of UI had a significant effect on task completion times, showing one of our methods, Arrow, was best. Arrow also exhibited positive but non-significant trends in average measures with preference, user engagement, and simulator-sickness. RealNodes, the UI designs, and the pilot study results contribute preliminary information that inspire future investigation of how to design effective explorable scenarios in 360 VR and visual guidance metaphors for navigation in applications using 360 VR environments
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