The present research explores the link between the personality trait exploitativeness, a component of narcissism, and emotion recognition abilities. Prior research on this topic has produced inconsistent findings. We attempt to resolve these inconsistencies by testing the hypothesis that narcissistic exploitativeness, in particular, should be associated with emotion-reading abilities because it...

Language provides an important source of information to predict human personality. However, most studies that have predicted personality traits using computational linguistic methods have focused on lexicon-based information. We investigate to what extent the performance of lexicon-based and grammarbased methods compare when predicting personality traits. We analyzed a corpus of student essays ...

To examine the expression of personality in virtual worlds (VWs), we tracked the behavioral and linguistic output of 76 students continuously over a six-week period in the VW Second Life (SL). Behavioral metrics in SL were consistent over time, but low stabilities were observed for linguistic metrics. To examine the ways in which personality manifested in SL, participant's Big Five scores were ...

The state-of-the art of psychological knowledge about the personality types is distilled to provide a basis for the specification of fuzzy agents with dynamic personality for the simulation of human behavior. The thirty facets, clustered in five traits (or, factors) to determine the personality types are outlined. Three concise representations of the primary characteristics of human personality...

Recent work in natural language generation has begun to take linguistic variation into account, developing algorithms that are capable of modifying the system’s linguistic style based either on the user’s linguistic style or other factors, such as personality or politeness. While stylistic control has traditionally relied on handcrafted rules, statistical methods are likely to be needed for gen...