z-logo
open-access-imgOpen Access
Exploring the Prediction of Personality Traits from Drug Consumption Profiles
Author(s) -
Bruce Ferwerda,
Marko Tkalčič
Publication year - 2020
Publication title -
kth publication database diva (kth royal institute of technology)
Language(s) - English
Resource type - Conference proceedings
ISBN - 978-1-4503-7950-2
DOI - 10.1145/3386392.3397589
Subject(s) - big five personality traits , personality , predictability , consumption (sociology) , psychology , addiction , drug , clinical psychology , social psychology , psychiatry , statistics , mathematics , social science , sociology
The number of people that have been in touch with drugs is continuously increasing. Excessive intake of drugs becomes problematic when it turns into disorderly behaviors, such as addictions. In order to treat these disorderly behaviors, treatment plans often adhere to a one-size-fits-all approach with fixed and standardized steps. However, for effective treatment of disorderly behaviors it has been acknowledged that personalized treatment programs are necessary. The personality of people has been argued to be a factor that plays an important role in setting up effective treatment plans. In this work we explored the predictability of people's personality traits based on their drug consumption profile. Based on self-reported consumption frequencies of "abusable psychoactive drugs," we found among 1878 respondents that drug consumption profiles can be used to predict people's personality traits. The prediction of personality traits can be used to circumvent intruding questionnaires and to implicitly create personalized treatment programs.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom