Strong human personality models exist but are not easy implemented within current gaming systems. The main stumbling block to utilizing classical personality models to drive real time game characters is a hierarchy, standards-based methodology that ties low level 3D movements to semantic gestures, through to emotion and time based personality sequences. Personality is the combination of qualiti...

Background: The personality factor can detect a person's counterproductive behavior. Certain types determine work style and the limitations weaknesses of his performance. One tool used to related is DISC model. This study aims behavioral type nurses based on application.Methods: research mixed methods. Research design begins with data collection analysis using quantitative procedures, then cont...

Researchers in bioelectromagnetics often require realistic tissue, cellular and sub-cellular geometry models for their simulations. However, biological shapes are often extremely irregular, while conventional geometrical modeling tools on the market cannot meet the demand for fast and efficient construction of irregular geometries. We have designed a free, user-friendly tool in MATLAB that comb...

The thesis of these volumes is that the study of personality traits has advanced towards " normal science " in the sense of a Kuhnian paradigm (cf. Eysenck, 1981; Kuhn, 1962). That is, most researchers in this area share a set of common core beliefs supported by empirical evidence. These include the stability of traits over time, a significant genetic and biological influence on personality, an...

We review the personality construct and its disorders according to the categorical and dimensional approaches, and the present understanding of dementia and its risk factors. This study shows a relationship between pre-morbid personality and risk of developing dementia. Data with speculative character, and indirect proofs from studies on life style, habits and pathological behaviors are reporte...

The identification of personality by automatic analysis of conversation has many potential applications in natural language processing, from leader identification in meetings to partner matching on dating websites. We automatically train models of the main five personality dimensions, on a corpus of conversation extracts and personality ratings. Results show that the models perform better than ...

I.-INTRODUCTION: Most of the research within the field of interactive characters has concentrated on generating guidelines, or models, for believable individual variability among characters, often based on psychological personality models (such as Nass, Isbister and Lee, 2000), or biological behaviors (for example, see Blumberg, 1994). In contrast, we ascribe to Bates' proposition that "believa...