HyperRelations is a work that directly responds to the specifics of the exhibition site and which, by its ambient features, explores ways of how visitors may experience space and time in a different way. Installed in a darkened gallery space and surrounded by visual and auditory stimuli, the observer is offered a new sensory experience. By the mapping and positioning of video projections into the gallery's space, along with the construction of the installation’s centrepiece resembling a signpost, it accentuates and activates the already existing architectural element of a staircase, attributing in this way symbolic power to it, otherwise possessed by archetypal forms. It is about a spiral, a common shape found in the natural world, from the animal world to natural phenomena - such as tornadoes or galaxies. The most well-known coil probably is the DNA coil, the molecule of life that contains a hidden code, through which the artist, by thematizing the original principle of harmony, regularity, or more precisely: the lost human experience of the universe, refers to an archetypal symbol of time. The images that Mezak is using (either digitally generated or taken from physical reality), are important stimuli, perceptual indications that, almost like the hydrogen bonds in DNA base pairs, indicate a hidden connection with the principle of order.
The work of Martina Mezak relies entirely on the technological possibilities of new media, but also occupies the immaterial world and internal human conditions. Using computer-programmed or transformed images and sounds, piling numerous image strata (layering), along with various technological features – such as VJing software, are on the path of the heritage of aesthetics and visual research of New Tendencies. In this context, the position of technology, although a culprit of our present desolation in the world of images and information, employed as an artistic medium, participates in finding a solution how to re-establish the image of reality and connections between its powerful sensory data and fragmentation (…)