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Publication Detail
Acquisition of personality
  • Publication Type:
    Chapter
  • Authors:
    Finnerty AN, Lepri B, Pianesi F
  • Publisher:
    Springer
  • Publication date:
    14/08/2016
  • Pagination:
    81, 99
  • Series:
    Human–Computer Interaction Series
  • Editors:
    Tkalcic M,De Carolis B,de Gemmis M,Odic A,Kosir A
  • ISBN-10:
    3319314130
  • ISBN-13:
    9783319314136
  • Book title:
    Emotions and Personality in Personalized Services Models, Evaluation and Applications
  • Keywords:
    Personality
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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