Can Artificial Intelligence be used to know personality traits?

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We start from the fact that each person is unique. However, sometimes we feel similarities with other people in the way they act or behave. In terms and concepts of personality, there is still much controversy about what is the unified description that defines personality. The problem with the lack of consensus is mainly due to the insufficiency of research instruments that help to demonstrate that what we might think would make sense, and also the lack of hypotheses. Among the most accepted descriptions of the term personality, there is one which considers that personality is the individual difference that constitutes each person and distinguishes him/her from another”.

Personality models and AI

One of the most widely used methods to understand personality is the Goldberg Big-Five model, which categorises according to five personality dimensions. In addition, one of the questionnaires that continues to predominate in the field of Human Resources is the Myers-Briggs, which categorises and classifies according to 16 personalities.

In both models, several investigations have been developed together with AI. Among them, with the Goldberg personality model, The University of South Australia conducted a study with Deep Learning in which they demonstrated that there was a relationship between eye movements and personality traits.  

Also with the Myers-Briggs model, based on the personality theory of Carl Jung and his archetypes, they have shown that together with Deep Learning it is possible to know personality traits. 

How can technology support traditional psychology models? 

We are in times of an evolution of the analysis of traditional psychology, and although for the most orthodox psychologists it sounds very distant, the truth is that the field of personality psychology is taking its first steps. It is moving towards a new analysis, a new way of approaching this problem, creating new hypotheses about what has always been known along with advances in technology and society. 

It is known that models such as the Big-Five and the Myers Briggs that exist today, among others, will maintain their relevance. However, new dimensions of constructions are coming to light when we talk about personality and technology. And the truth is that within the parameters of personality, both the most nomothetic theories (which seek to know the universal, the common, the shared to all people), and the most idiographic ones (their focus is the human being in particular, the individual and the unique) of personality, can support applications such as the design of intelligent systems and products that adapt to the individual.

Probably, our cognitive capacity and related constructs go beyond what we know so far. Perhaps, these constructs can be adapted to the interrelationship of the person with technology. It may be due to the exponential progress of Artificial Intelligence, as well as a greater availability of data about the individual. 

“…knowing these categories could help us to adapt certain communication styles related to the person’s cognitive performance”

Is technology changing individuals’ personalities?

When we categorise with personality traits, we can predict people’s behaviour, but not in a deterministic way, as we have to take into consideration the difference between state and personality trait. Furthermore, knowing these categories could help us adapt certain communication styles related to the person’s cognitive performance, i.e. that the communication style can be adapted. Should we ask ourselves if technology is changing the individual’s personality? It is probably easy for traditional psychology to answer this question, but the truth is that the world is undergoing a strong change process and new concepts, new analyses and thus new hypotheses are emerging. Personality psychology must evolve to do it at the same time as society and thus contribute to it in an effective way.

At Erudit we want to help you taking care of your workers in these challenging times, monitoring their levels of motivation, burn out, stress and anxiety (without the need of applying a single survey) and finding ways to maintain a healthy and productive team of collaborators.

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