Towards modeling of Readers' Emotional State response for the automated annotation of documents

This work presents an experimental study towards modeling the readerspsila emotional state as a response to font and typesetting elements of documents presented on a LCD display. Any content and/or domain dependent information was excluded from the document that was tested. An automated computer-based experimental procedure has been followed based on the paper-and-pencil self assessment Manikin test. The typographic elements: font color, size, type, background color and the typesetting elements: bold, italics, bold-italics, along with their combinations are studied. The results indicate that the combination of text and background color has the same impact across languages; the font size has a typical behavior. Readerspsila emotional state, induced by the typesetting elements and the font type, probably depends on the current as well as on the previously displayed stimuli. A cognitive-based XML architecture for real-time extraction of readerspsila emotional state relatively to documentspsila typographic elements is also presented. The results of this paper can be considered when transforming emotionally annotated documents into acoustic modality.