Diagnosing disorders in the current edition of the DSMIV involves two aspects. The first is the concept of a personality disorder, which currently is defined as a pervasive, stable and presents at least from adolescence pattern of "inner experience and behavior" that is deviant from a person's cultural norms. The second aspect involves defining what type of personality disorder is present among...

This paper proposes an ANFIS (Adaptive Network Based Fuzzy Inference System) Learning Approach where we have found patterns of personality types using Big Five Personality Tests for Software Engineering Roles in Software Development Project Teams as part of RAMSET (Role Assignment Methodology for Software Engineering Teams) methodology. An ANFIS model is applied to a set of role traits resultin...

In this study, we examined the viability of measuring personality using computerized lexical analysis of natural speech. Two well-validated models of personality were measured, one involving trait positive affectivity (PA) and negative affectivity (NA) dimensions and the other involving a separate behavioral inhibition motivational system (BIS) and a behavioral activation motivational system (B...

Personality has a huge effect on how we communicate and interact with others. This study is one in a series of three that investigates how a speech based in-car system matched with dominant and submissive drivers affects performance and attitude drivers. The study was conducted with 30 participants at Linköping University in Sweden. Data show that using a voice that combines feature from submis...

The purpose of this study was to examine the relationship between emotional labor and burnout, and whether the levels of self-efficacy and type A personality characteristics increase the risk of burnout in a sample of Korean female dental hygienists. Participants were 807 female dental hygienists with experience in performing customer service for one year or more in dental clinics, dental hospi...

User models in human-computer interfaces have focused on various user characteristics, but there is little user modeling of the most fundamental dimension of variation between humans: personality traits. We explore here the possibility of automatically acquiring such models by simply observing the user’s language. We automatically learn models for personality recognition from different corpora ...

Most current crowd simulators animate homogeneous crowds, but include underlying parameters that can be tuned to create variations within the crowd. These parameters, however, are specific to the crowd models and may be difficult for an animator or naïve user to use. We propose mapping these parameters to personality traits. In this paper, we extend the HiDAC (HighDensity Autonomous Crowds) sys...

The relation between individual’s personality and environmental context is a key issue in psychology, recently also in character simulations. This paper contributes to both domains by proposing a socio-cognitive, contextual personality model a new voice in a century old problem of personality, but also an approach to simulating groups of more humanlike agents. After analyzing the influence of p...

Teacher Education is an integral part of any educational system. It should provide a platform in developing the holistic personality of a student teacher. This paper reports on personality of student teachers and the role of Teacher Educational institutions in developing it. The sample consists of 1080 student teachers of Madurai revenue district. A Multi dimensional Personality Inventory const...

In this paper we present the results of three investigations of our broad research on the usage of affect and personality in recommender systems. We improved the accuracy of a content-based recommender system with the inclusion of affective parameters in user and item modeling. We improved the accuracy of a content filtering recommender system under the cold start conditions with the introducti...