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Towards Approximating Personality Cues Through Simple Daily Activities

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Advanced Concepts for Intelligent Vision Systems (ACIVS 2020)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 12002))

Abstract

The goal of this work is to investigate the potential of making use of simple activity and motion patterns in a smart environment for approximating personality cues via machine learning techniques. Towards this goal, we present a novel framework for personality recognition, inspired by both Computer Vision and Psychology. Results show a correlation between several behavioral features and personality traits, as well as insights of which type of everyday tasks induce stronger personality display. We experiment with the use of Support Vector Machines, Random Forests and Gaussian Process classification achieving promising predictive ability, related to personality traits. The obtained results show consistency to a good degree, opening the path for applications in psychology, game industry, ambient assisted living, and other fields.

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Notes

  1. 1.

    Note that at the time of this study, the dataset contained data for 42 participants.

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Authors and Affiliations

  1. Department of Data Science and Knowledge Engineering, Maastricht University, Maastricht, The Netherlands

    Francesco Gibellini, Sebastiaan Higler, Jan Lucas, Migena Luli, Morris Stallmann, Dario Dotti & Stylianos Asteriadis

Authors
  1. Francesco Gibellini
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  2. Sebastiaan Higler
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  3. Jan Lucas
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  4. Migena Luli
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  5. Morris Stallmann
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  6. Dario Dotti
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  7. Stylianos Asteriadis
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Corresponding author

Correspondence to Stylianos Asteriadis .

Editor information

Editors and Affiliations

  1. DGA, Paris, France

    Jacques Blanc-Talon

  2. University of Auckland, Auckland, New Zealand

    Patrice Delmas

  3. Ghent University, Ghent, Belgium

    Wilfried Philips

  4. CSIRO, Canberra, Australia

    Dan Popescu

  5. University of Antwerp, Wilrijk, Belgium

    Paul Scheunders

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Gibellini, F. et al. (2020). Towards Approximating Personality Cues Through Simple Daily Activities. In: Blanc-Talon, J., Delmas, P., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2020. Lecture Notes in Computer Science(), vol 12002. Springer, Cham. https://doi.org/10.1007/978-3-030-40605-9_17

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  • DOI: https://doi.org/10.1007/978-3-030-40605-9_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-40604-2

  • Online ISBN: 978-3-030-40605-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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