This study investigated whether profiles of traits included in the Schedule for Nonadaptive and Adaptive Personality (SNAP; Clark, 1993) model of personality were valid indicators of different personality pathologies in a non-clinical sample. We obtained self-reports of SNAP traits for 117 university students and selfand informant-reports of normal personality traits. SNAP trait profiles repres...

OBJECTIVE This study examines Axis I comorbidity in patients with borderline personality disorder as compared with patients with other personality disorders and to patients without personality disorders. METHODS A total of 235 clinical histories were evaluated. These were divided into three groups: 92 pertaining to patients with borderline personality disorder, 69 to ones having other persona...

BACKGROUND Co-morbid psychiatric disorders affect prognosis, psychosocial adjustment and post-surgery satisfaction in patients with gender identity disorder. In this paper, we assessed the frequency of personality disorders in Iranian GID patients. METHODS Seventy- three patients requesting sex reassignment surgery (SRS) were recruited for this crosssectional study. Of the participants, 57.5%...

In this paper, the social constructivist’s dramaturgical model of personality is used to define the field of artificial personality for embodied agents. The dramaturgical model views personality from three perspectives: that of the actor (which is concerned with the internal organization of personality and its expression), that of the observer (which is concerned with the perception and interpr...

Can human-normed personality scales alone give us a full picture of the attribution of personality to virtual agents? In humans, personality traits are often immediately ascribed: first impressions, influenced by posture and gesture, can be strong, lasting and accurate. Is there a similar immediate attribution of personality for virtual agents that can be similarly influenced by posture and ges...

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One of the currently most important discussions in artificial intelligence is modeling personality and emotion in artificial intelligence, chiefly in Human-Computer-Interaction (HCI). The purpose of this research is designing a general model that identifies a user’s affective status based on user’s personality and emotion. The proposed model is composed of two main modules: personality and emot...

OBJECTIVE This study compared three-dimensional representations of DSM-IV personality disorders and standard categories with respect to their associations with psychosocial functioning. METHOD Six hundred sixty-eight patients with semistructured interview diagnoses of schizotypal, borderline, avoidant, or obsessive-compulsive personality disorders or with major depressive disorder and no pers...

Two hundred twenty-four first-degree relatives of patients with psychotic disorders were administered the Structured Interview for DSM-III Personality Disorders (SIDP) and completed a self-report instrument to assess dimensions of the five-factor model of personality. All of the DSM-III personality disorders were related to one or more dimensions of the five personality factors; however, the co...

OBJECTIVE The authors sought to determine whether personality disorders diagnosed during a depressive episode have long-term outcomes more typical of those of other patients with personality disorders or those of patients with noncomorbid major depression. METHOD The authors used 6-year outcome data collected from the multisite Collaborative Longitudinal Personality Disorders Study (CLPS). Di...