Flexible visual environment for structuring, presenting, and sharing digital information.
Visual Understanding Environment (VUE) is an application for concept and content mapping. Great for anyone who needs to organize, contextualize, and access digital information. It provides a simple yet powerful set of tools and a basic visual grammar consisting of nodes and links, faculty and students can map relationships between concepts, ideas and digital content.
Adding a node to a pathway now produces a slide where node content can be arranged for presentation purposes. Authors may edit the slide view directly on the map by zooming in to the slide thumbnail and selecting the editing tools, without impacting the underlying map.
The Playback tool launches VUE into full-screen presentation mode. Presenters can use the mouse, arrow keys or space bar to move through a presentation. Images can be zoomed in via a single click without exiting the presentation, and a map overlay may be displayed by pressing the "M" key. Presenters can also zoom out to the map and select any node as the focus. By moving the cursor to the far right of the screen during a presentation, presenters can show any content linked to a node on the presentation pathway.
By using VUE’s new presentation zoom tool, authors may quickly zoom any node to full-screen mode with a single click. In addition, clicking while holding down the shift key will further zoom in to the image content of the selected node. Note that content zooming is only animated while in full-screen mode. This feature enables presenters to quickly explore the details of high-resolution images that are embedded in VUE nodes.
VUE links now present a basic toggle element to allow users to collapse and expand branches of nodes.
The exploration tools provide dynamic ways to select and fade out nodes and links, in addiiton to zooming in and out of the map during presentations.
Datasets (CSV) and XML feeds (RSS) can be imported into VUE. VUE can help analyze and visualize the data.
The Keywords tool enables authors to "tag" or apply full metadata schema to nodes and links. Maps can then be searched based on these keywords