Title :
A New Model with NEO PI-R for Emotion Simulations
Author :
Yi Zhang ; Ling Li
Author_Institution :
Dept. of Comput., Curtin Univ., Perth, WA, Australia
Abstract :
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 reaction to external stimuli. A Resistant formulation is also proposed to effectively simulate the complicated negative emotions.
Keywords :
multi-agent systems; psychology; BIG5 model; NEO PI-R; emotional reaction; human emotion modeling; intelligent virtual agents; resistant formulation; revised NEO personality inventory; Adaptation models; Computational modeling; Equations; Market research; Mathematical model; Mood; Resistance; NEO PI-R; affective computing; emotion; personality;
Conference_Titel :
Cyberworlds (CW), 2013 International Conference on
Conference_Location :
Yokohama
Print_ISBN :
978-1-4799-2245-1