90 percent of the population can be classified into four basic personality types: optimistic, pessimistic, trusting and envious. The fourth type, envious, is the most common, with 30 percent compared to 20 percent for each of the other groups, a study on human behavior has revealed. The rest behave in a way that falls outside of the defined models.
This is one of the main conclusions of a study made by researchers in Spain from Universidad Carlos III de Madrid, and the universities of Barcelona, Rovira i Virgili and Zaragoza.
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The study analyzed the responses of 541 volunteers to hundreds of social dilemmas, with options leading to collaboration or conflict with others, based on individual or collective interests.
This work is part of game theory, a branch of mathematics with applications in sociology and economics, which examines the behavior of people when they face a dilemma and have to make decisions.
These decisions will have different consequences which will also depend on what the other party involved decides to do.
“Those involved are asked to participate in pairs, these pairs change, not only in each round, but also each time the game changes. So, the best option could be to cooperate or, on the other hand, to oppose or betray ….. In this way, we can obtain information about what people do in very different social situations”, explained one of the authors of the study, professor Anxo Sánchez, of Universidad Carlos III de Madrid, one of the study’s authors.
According to Yamir Moreno, the coordinator of the Cosnet group, “The results go against certain theories; the one which states that humans act purely rationally for example, and, therefore, they should be taken into consideration in redesigning social and economic policies, as well as those involved in cooperation”. He goes on to say that, “these types of studies are important because they improve existing theories on human behavior by giving them an experimental base”.
After carrying out this kind of social experiment, the researchers developed a computer algorithm which set out to classify people according to their behavior.
The computer algorith organized 90% of people into four groups:
the largest group, accounting for 30%, being the Envious – those who don’t actually mind what they achieve, as long as they’re better than everyone else; next are the Optimists – who believe that they and their partner will make the best choice for both of them – on 20%. Also on 20% are the Pessimists – who select the option which they see as the lesser of two evils – and the Trusting group – who are born collaborators and who will always cooperate and who don’t really mind if they win or lose.
There is a fifth, undefined group, representing 10%, which the algorithm is unable to classify in relation to a clear type of behavior. The researchers argue that this allows them to infer the existence of a wide range of subgroups made up of individuals who do not respond in a determined way to any of the outlined models.
Anxo Sánchez explains this with an example of a specific dilemma:
Two people can hunt deer together, but if they are alone, they can only hunt rabbits. The person belonging to the Envious group will choose to hunt rabbits because he or she will be at least equal to the other hunter, or maybe even better; the Optimist will choose to hunt deer because that is the best option for both hunters; the Pessimist will go for rabbits because that way he or she is sure to catch something; and the hunter who belongs to the Trusting group will cooperate and choose to hunt deer, without a second thought.
“The really funny thing is that the classification was made by a computer algorithm which could have obtained a larger number of groups, but which has, in fact, produced an “excellent” rating in four personality types, ” explains Yamir Moreno.
Jordi Duch, one of the authors of this study, explain, “This type of classification algorithm has previously been used with success in other fields, such as biology.
“Previously, the experiments were performed by dozens of people. Now, with this platform, it is possible to significantly increase the volume of participants in the study, as well as being able to test using the heterogeneous population; this also allows us to record much more specific data on how the participants behave during the experiment. This has opened up the door to setting up much more complex tests than those that have been carried out so far in this field”, says Jordi Duch.
In the same way, the research results shed light in relation to what moves the collective or individual interest in the processes of negotiation, and as such, it is useful for the management of business, organizations or for political reformulation. Furthermore, it also serves to open the door to improving machinery, to make “robots more humanized”, concludes Anxo Sanchez.
