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Predicting User Identity and Personality Traits from Mobile Sensor Data

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Information and Software Technologies (ICIST 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 639))

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Abstract

Several types of information can be revealed from data provided by mobile sensors. In this study touchscreen and accelerometer data was collected from a group of 98 volunteers during filling in the Eysenck Personality Questionnaire on a tablet computer. Subjects performed swipes on the touchscreen in order to answer the questions. Touchscreen swipes have been already used for user authentication. We show that our constrained swipes contain enough user specific information to be utilized for the same task. Moreover, we have studied the predictability of personality traits such as extraversion, and neuroticism from the collected data. Extraversion was found to be the most reliably predictable personality trait.

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Author information

Authors and Affiliations

  1. Faculty of Technical and Human Sciences, Sapientia University, Soseaua Sighisoarei 1C, 540485, Tirgu Mures/Corunca, Romania

    Margit Antal & László Zsolt Szabó

  2. Telekom, Bucharest, Romania

    Győző Nemes

Authors
  1. Margit Antal
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  2. László Zsolt Szabó
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  3. Győző Nemes
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Corresponding author

Correspondence to Margit Antal .

Editor information

Editors and Affiliations

  1. Kaunas University of Technology , Kaunas, Lithuania

    Giedre Dregvaite

  2. Kaunas University of Technology , Kaunas, Lithuania

    Robertas Damasevicius

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Antal, M., Szabó, L.Z., Nemes, G. (2016). Predicting User Identity and Personality Traits from Mobile Sensor Data. In: Dregvaite, G., Damasevicius, R. (eds) Information and Software Technologies. ICIST 2016. Communications in Computer and Information Science, vol 639. Springer, Cham. https://doi.org/10.1007/978-3-319-46254-7_13

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  • DOI: https://doi.org/10.1007/978-3-319-46254-7_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46253-0

  • Online ISBN: 978-3-319-46254-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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