Title :
Emotion Tuning Mechanism by linguistic term in KEB system
Author_Institution :
Div. of GS, Comput. Sci., Kangnam Univ., Yongin, South Korea
Abstract :
In general, Emotion is closely related to knowledge in the human brain system and the external input, such as linguistic terms which compose knowledge can make a big change to the current emotional state according to their energy. Starting from these facts, KEB (Knowledge-Emotion Binding) system is designed and also Emotional Tuning Mechanism by the linguistic terms is proposed. Especially in this paper,first,emotion is bound with knowledge. Second, the emotional term is defined and quantified as an energy value for efficient expression. In the experiments, the tuning process is tested with sample data.
Keywords :
behavioural sciences computing; linguistics; emotion tuning mechanism; human brain system; knowledge emotion binding system; linguistic term; Equations; Hippocampus; Humans; Instruction sets; Mathematical model; Pragmatics; Tuning; emotion tuning; emotion-knowledge binding; linguistic term;
Conference_Titel :
Control, Automation and Systems (ICCAS), 2011 11th International Conference on
Conference_Location :
Gyeonggi-do
Print_ISBN :
978-1-4577-0835-0