This features 3D experiments showing the coalescence of knowledge.
Each node will contain an element of information which can be navigated to.
(Coalescence of Knowledge Gif Animation, 2017)
(Coalescence of Knowledge Animation in After Affects, 2017)
(Garrity and Traynor, 2017)
Further to visiting a graphene exhibition at the Museum of Science and Industry I developed test structures in Unreal Engine working with Grahame Traynor. The concept is that each node will contain a piece of information. Closely related information will be contained in the surrounding nodes - the stronger the relationship the closer it will appear. This is a very formal structure designed to represent the fabric of knowledge.
One idea is to explore across an area of interest across the top layer and to explore deeply through layers below (not yet shown) as you go back through time and/or other related areas of interest. The content of the nodes will change as you look at different areas - in much the same way as one thought leads to others - constantly changing related to your focus of thought.
One example is that of looking at a piece of artwork, from which you can then continue to explore artworks that are related and/or other information related to that artwork - e.g. artist, location, date, historical references etc. and from each point you can explore new points of interest. The way the data is filtered is critical to usability and the user experience.
Coalescence of Knowledge Animation in After Affects. (2017) [video] Stockport: Damyon Garrity with Alisdair McKenna.
Coalescence of Knowledge Gif Animation. (2017) [video] Stockport: Damyon Garrity.
Garrity, D. (2017) Coalescence of Knowledge Frames. [image].
Garrity, D. and Traynor, G. (2017) Fabric of Knowledge, Graphene Structures. [image].