installation sketch by susanna schoenberg, KHM, cologne.
Researchers have proposed a number of different explanations as to why we do not notice the blind spot on our eye: One of the commonly accepted affirms that “the brain actually fills in the missing information using visual cues in the environment.”
assuming self-awarness of both subject and environment as divided entities, excluding each other.
assuming relation between subject and environment as something related to so called blind spots.
assuming self-awareness of the subject constructed as a series of data processings which at first do remove the separation between subject and environment.
assuming the subject implemented with a multidimensional recording device collecting envinromental data which include also the registration of the presence of the subject themselves.
assuming the values recorded in the form of techno-images not only as a content (representation of the real), but also as parameters for the play back of such a content.
=> the idea is to represent an environment getting aware of its own subject.
The ›blind spots‹ of this project should work as methaphors of the bodyless eye of techno-seeing (Martin Jay); at the same time the ›blind spots‹ are ›real‹ spaces: these spaces are defined as physical entities made by volume (m3) and placement (longitudinal/latitudinal degrees and altitude).
The offered sensoric package for environmental monitoring (EM) and its operative sensitivity will determine the effective extention of the ›blind spots‹ as sensorial spaces.
The adoption of multidimensional data analysis (MDA) for the evaluation of the sensors‘ monitoring refers to the constructivist idea of cognition (or recognition) as computation of reality (Heinz von Foerster).
The monitored variables (CO2, CO, NO2, LUX, temp C, tVOC, dB noise) are going to be processed by a Factor Analysis.
›Blind spots‹ a, b, c, will collect the data over the variables Xi (i= 1..7) in regular intervalls and send the data packages successively to the server.
Data will be used as parameters for the visualisation of some clips on a local database ordered after brightness and color temperature. While data recorded at time tk are used as playback parameters for videoframes and soundclips, the master application will run a Factor Analysis out of the 1..k data packages. The computed coefficients between the i variables values and the j<i factor values are going to be visualized as a matrix of scores overimpressed on the running videoclips.