Dashboard for exploring personalities based on mobile user log data

Issue title: Special Section: Collective intelligence in information systems

Guest editors: Ngoc Thanh Nguyen, Edward Szczerbicki, Bogdan Trawiński and Van Du Nguyen

Article type: Research Article

Authors: Nguyen, Binh Thanh^{; *}

Affiliations: Duy Tan University, Danang, Vietnam

Correspondence: [*] Corresponding author. Binh Thanh Nguyen, Duy Tan University, Danang, Vietnam. E-mail: [email protected].

Abstract: The usefulness and ease of use of Big5 dashboard have been proposed to explore hierarchical structure of personality traits. First, Big5 system architecture and its components are described. Afterwards, we present how to calculate Big5 indicators from available big mobile data sets. Hereafter, Big5 traits can be predicted based on those just-specified indicators. To proof of our concepts, implementation results will be presented in the context of the Big5 dashboard which has been designed and developed to predict Big5 personalities in a representative and interactive manner.

Keywords: Big5 traits, personality, indicators, data warehouse, mobile logs, Naive Bayes classification, dashboard

DOI: 10.3233/JIFS-179357

Journal: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 6, pp. 7503-7509, 2019