A Personality Model Based on NEO PI-R for Emotion Simulation

نویسندگان

  • Yi Zhang
  • Ling Li
چکیده

The last decade has witnessed an explosion of interest in research on human emotion modeling for generating intelligent virtual agents. This paper proposes a novel personality model based on the Revised NEO Personality Inventory (NEO PI-R). Compared to the popular Big-Five-Personality Factors (Big5) model, our proposed model is more capable than Big5 on describing a variety of personalities. Combining with emotion models it helps to produce more reasonable emotional reactions to external stimuli. A novel Resistant formulation is also proposed to effectively simulate the complicated negative emotions. Emotional reactions towards multiple stimuli are also effectively simulated with the proposed personality model. key words: affective computing, emotion, personality, NEO PI-R

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عنوان ژورنال:
  • IEICE Transactions

دوره 97-D  شماره 

صفحات  -

تاریخ انتشار 2014