International Journal of Human-Computer Studies
DocEmoX: A System for the Typography-Derived Emotional Annotation of Documents
UAHCI '09 Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Part III: Applications and Services
Auditory accessibility of metadata in books: a design for all approach
UAHCI'07 Proceedings of the 4th international conference on Universal access in human-computer interaction: applications and services
Modeling reader's emotional state response on document's typographic elements
Advances in Human-Computer Interaction
Expressing degree of activation in synthetic speech
IEEE Transactions on Audio, Speech, and Language Processing
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In this work we presented a mathematical model for the readers' emotional state responses triggered by font style, type and color. It is based on multiple regression analysis of the repeated measures from 45 students and for 35 textual stimuli using the Self-Assessment Manikin test. Based on the dimensional theory of emotions, we propose a model on how emotional dimensions Pleasure, Arousal, and Dominance vary according to the typographic text signals: font style, font type and font/background color combinations. We observe that "Pleasure" dimension is affected negatively by font type ("Arial" and "Times New Roman") and positively by color brightness difference of font/background color combinations. "Arousal" and "Dominance" are affected only by color brightness difference (negative correlation). According to the proposed model, font type "Arial" elicits more pleasant emotional state than "Times New Roman". The results can be applied to augment user interface experience or to add expressivity in Text-to-Speech systems and provide accessibility of typography induced text signals.