DocEmoX: A System for the Typography-Derived Emotional Annotation of Documents

Authors:
Georgios Kouroupetroglou;Dimitrios Tsonos;Eugenios Vlahos
Affiliations:
Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Athens, Greece GR 157 84;Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Athens, Greece GR 157 84;Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Athens, Greece GR 157 84
Venue:
UAHCI '09 Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Part III: Applications and Services
Year:
2009

Citing 6
Cited 2

Emotion recognition from text using semantic labels and separable mixture models

ACM Transactions on Asian Language Information Processing (TALIP)
What emotions do news articles trigger in their readers?

SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Conveying mood and emotion in instant messaging by using a two-dimensional model for affective states

IHC '06 Proceedings of VII Brazilian symposium on Human factors in computing systems
A Methodology for Reader's Emotional State Extraction to Augment Expressions in Speech Synthesis

ICTAI '07 Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence - Volume 02
Representing Emotions with Linguistic Acuity

CICLing '07 Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Text Processing
Accessibility of board and presentations in the classroom: a design-for-all approach

Telehealth/AT '08 Proceedings of the IASTED International Conference on Telehealth/Assistive Technologies

Modeling reader's emotional state response on document's typographic elements

Advances in Human-Computer Interaction
Regression modeling of reader's emotions induced by font based text signals

UAHCI'13 Proceedings of the 7th international conference on Universal Access in Human-Computer Interaction: user and context diversity - Volume 2

Quantified Score

Hi-index	0.01

Visualization

Abstract

This work presents the design and implementation of the DocEmoX system for the automated typography-derived emotional extraction and annotation of printed and electronic documents. The DocEmoX system targets the Design-for-All based multimodal accessibility of documents. The methodology is based on the results derived from a number of readers' emotional state response experiments that model the mapping of any combination of typographic elements into specific analogous variations of the three emotional dimensions (Valence/Pleasure, Arousal and Potency/ Dominance) using a set of Emotional Rules. DocEmoX implements these Emotional Rules in XSL format and produces the annotated output document following the ODF standard and the W3C EmotionML recommendations.