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Acquisition of Personality

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Emotions and Personality in Personalized Services

Part of the book series: Human–Computer Interaction Series ((HCIS))

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Abstract

This chapter provides an overview of the methods that can be used to automatically acquire information about an individual’s personality. In particular, we focus our attention on the sources of data (e.g. text, audio, video, mobile phones, wearable sensors, etc.) and the features used to automatically infer personality. For each data source, we discuss the methods of extracting the cues used to detect personality, as well as the major findings. Lastly, we refer some limitations of the current research which is relevant for the advancement of the state of the art.

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Notes

  1. 1.

    http://bandicoot.mit.edu/.

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Authors and Affiliations

  1. Fondazione Bruno Kessler, Via Sommarive, 18, 38123, Povo-Trento, Italy

    Ailbhe N. Finnerty & Bruno Lepri

  2. Fondazione Bruno Kessler and EIT-Digital, Via Sommarive, 18, 38123, Povo-Trento, Italy

    Fabio Pianesi

Authors
  1. Ailbhe N. Finnerty
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  2. Bruno Lepri
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  3. Fabio Pianesi
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Correspondence to Bruno Lepri .

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Editors and Affiliations

  1. Department of Computational Perception, Johannes Kepler University, Linz, Austria

    Marko Tkalčič

  2. Department of Computer Science, University of Bari Aldo Moro, Bari, Italy

    Berardina De Carolis

  3. Department of Computer Science, University of Bari Aldo Moro, Bari, Italy

    Marco de Gemmis

  4. Preserje, Ljubljana, Slovenia

    Ante Odić

  5. Faculty of electrical engineering, University of Ljubljana, Ljubljana, Slovenia

    Andrej Košir

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Finnerty, A.N., Lepri, B., Pianesi, F. (2016). Acquisition of Personality. In: Tkalčič, M., De Carolis, B., de Gemmis, M., Odić, A., Košir, A. (eds) Emotions and Personality in Personalized Services. Human–Computer Interaction Series. Springer, Cham. https://doi.org/10.1007/978-3-319-31413-6_5

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