Mapping Personality Traits through Keystroke Analysis

Felipe Goulart, Daniel Dantas

Abstract

Personality can be defined as a set of psychological features that may determine how to think, act, and feel, as well as may directly influence an individual’s interests. The Big Five model is widely used to describe the main traits of the personality of an individual. This study aims to develop an approach to identify personality traits from keystroke dynamics data using neural networks. We developed a non-intrusive approach to collect keystroke dynamics data from the users and used a self-assessment questionnaire of personality to identify Big Five personality traits. Experiments showed no evidence that the exclusive use of keystroke dynamics characteristics can provide enough information to identify an individual’s personality traits.

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Paper Citation


in Harvard Style

Goulart F. and Dantas D. (2021). Mapping Personality Traits through Keystroke Analysis. In Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-509-8, pages 474-482. DOI: 10.5220/0010456304740482


in Bibtex Style

@conference{iceis21,
author={Felipe Goulart and Daniel Dantas},
title={Mapping Personality Traits through Keystroke Analysis},
booktitle={Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2021},
pages={474-482},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010456304740482},
isbn={978-989-758-509-8},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - Mapping Personality Traits through Keystroke Analysis
SN - 978-989-758-509-8
AU - Goulart F.
AU - Dantas D.
PY - 2021
SP - 474
EP - 482
DO - 10.5220/0010456304740482