In this article we show how it is possible to use Channel Theory [Barwise and Seligman, 1997] for modeling the process of information extraction realized by audiences of audio-visual contents. To do this, we rely on the concepts proposed by Channel Theory and, especially, its treatment of representational systems. We then show how the information an agent is capable of extracting from a content depends on the number of channels he is able to establish between the content and the set of classifications he is able to discriminate. The agent can endeavor the extraction of information through these channels from the totality of content; however, we discuss the advantages of extracting from its constituents in order to obtain a greater number of informational items that represent it. After showing how the extraction process is endeavored for each channel, we propose a method of representation of all the informative values an agent can obtain from a content using a matrix constituted by the channels the agent is able to establish on the content (source classifications), and the ones he can understand as individual (destination classifications). We finally show how this representation allows reflecting the evolution of the informative items through the evolution of audio-visual content.
- Full article published in Sciforum (preliminary version), site of the FIS2010 – 4th International Conference on the Foundations of Information Science, Beijin, August 2010.
- A reviewed version will be published in the forthcoming issue of the journal TripleC 8(2).