This research focused on the target effect on a perceiver's judgments of personality when the perceiver and the target are unacquainted. The perceiver was given no opportunity to interact with the target, a condition we refer to as zero acquaintance. We reasoned that in order to make personality judgments, perceivers would use the information available to them (physical appearance). Consensus i...

Purpose: This work aims at analyzing the relationships between the personality traits of users who are related in online social networks. First, we tried to discover relation patterns between personality dimensions in conversations. We also wanted to verify some hypotheses: whether users’ personality is stable throughout different conversation threads and whether the similarity-attraction parad...

The identification of personality by automatic analysis of conversation has many 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 the baseli...

Since living kidney donors have repeatedly been shown to be mentally more healthy compared to the general population, they might also exhibit more adaptive personality characteristics. We investigated the personality traits of 315 living kidney donors (202 female and 113 male donors) on average 7.1 years after donation using the NEO-Five Factor Inventory, a frequently used personality inventory...

We examined the relationship between psychopathology and interpersonal problems in a sample of 825 clinical and community participants. Sixteen psychiatric diagnoses and five transdiagnostic dimensions were examined in relation to self-reported interpersonal problems. The structural summary method was used with the Inventory of Interpersonal Problems Circumplex Scales to examine interpersonal p...

In this work we directly incorporate user personality profiles into the task of matrix factorization for predicting user ratings. Unlike previous work using personality in recommender systems, we use only the presence of written reviews by users. Other work that incorporates text directly into the recommendation framework focuses primarily on insights into products/categories, potentially disre...