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Exploring the Prediction of Personality Traits from Drug Consumption Profiles

Authors :
Bruce Ferwerda
Marko Tkalcic
Source :
UMAP (Adjunct Publication)
Publication Year :
2020
Publisher :
Tekniska Högskolan, Jönköping University, JTH, Datateknik och informatik, 2020.

Abstract

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.

Details

Language :
English
Database :
OpenAIRE
Journal :
UMAP (Adjunct Publication)
Accession number :
edsair.doi.dedup.....26d8a21196d8c48fe6f0a3b1fe854f53