AIMC Topic: Personality

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A facet atlas: Visualizing networks that describe the blends, cores, and peripheries of personality structure.

PloS one
We created a facet atlas that maps the interrelations between facet scales from 13 hierarchical personality inventories to provide a practically useful, transtheoretical description of lower-level personality traits. We generated this atlas by estima...

Predicting personality from patterns of behavior collected with smartphones.

Proceedings of the National Academy of Sciences of the United States of America
Smartphones enjoy high adoption rates around the globe. Rarely more than an arm's length away, these sensor-rich devices can easily be repurposed to collect rich and extensive records of their users' behaviors (e.g., location, communication, media co...

Machine learning meets partner matching: Predicting the future relationship quality based on personality traits.

PloS one
To what extent is it possible to use machine learning to predict the outcome of a relationship, based on the personality of both partners? In the present study, relationship satisfaction, conflicts, and separation (intents) of 192 partners four years...

A robust data-driven approach identifies four personality types across four large data sets.

Nature human behaviour
Understanding human personality has been a focus for philosophers and scientists for millennia. It is now widely accepted that there are about five major personality domains that describe the personality profile of an individual. In contrast to perso...

The Relationship between Robot's Nonverbal Behaviour and Human's Likability Based on Human's Personality.

Scientific reports
At current state, although robotics technology has been immensely developed, the uncertainty to completely engage in human-robot interaction is still growing among people. Many current studies then started to concern about human factors that might in...

Automated Item Generation with Recurrent Neural Networks.

Psychometrika
Utilizing technology for automated item generation is not a new idea. However, test items used in commercial testing programs or in research are still predominantly written by humans, in most cases by content experts or professional item writers. Hum...

Personality biomarkers of pathological gambling: A machine learning study.

Journal of neuroscience methods
BACKGROUND: The application of artificial intelligence to extract predictors of Gambling disorder (GD) is a new field of study. A plethora of studies have suggested that maladaptive personality dispositions may serve as risk factors for GD.

Is Romantic Desire Predictable? Machine Learning Applied to Initial Romantic Attraction.

Psychological science
Matchmaking companies and theoretical perspectives on close relationships suggest that initial attraction is, to some extent, a product of two people's self-reported traits and preferences. We used machine learning to test how well such measures pred...

Depressive Symptoms and Their Interactions With Emotions and Personality Traits Over Time: Interaction Networks in a Psychiatric Clinic.

The primary care companion for CNS disorders
OBJECTIVE: Associations between depression, personality traits, and emotions are complex and reciprocal. The aim of this study is to explore these interactions in dynamical networks and in a linear way over time depending on the severity of depressio...

[Should assistive robots have a "personality"? : Potential of simplified robot personalities].

Zeitschrift fur Gerontologie und Geriatrie
BACKGROUND: In the European Union (EU) research project "HOBBIT" prototypes of assistive robots were developed in order to support a more secure and independent life style and trials were run at the homes of elderly users.