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

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3 Author(s)
Tsonos, D. ; Dept. of Inf. & Telecommun., Nat. & Kapodistrian Univ. of Athens, Athens ; Ikospentaki, K. ; Kouroupetrolgou, G.

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.

Published in:

Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on

Date of Conference:

1-8 June 2008