• DocumentCode
    3776589
  • Title

    Automatic personality assessment: A systematic review

  • Author

    S. V. Kedar;D. S. Bormane

  • Author_Institution
    JSPM´s RSCOE, S.P. Pune University, Pune, India
  • fYear
    2015
  • Firstpage
    326
  • Lastpage
    331
  • Abstract
    Personality Assessment is an emerging research area. In recent years, the interest of the scientific community towards personality assessment has grown incredibly. Personality is a psychological model that can be used to explain the wide variety of human behaviors with the help of individual characteristics. The applications of personality assessment range from behavior analysis to disease diagnosis, counseling, employee recruitment, social network analysis, security systems, mood prediction, and many others. Automatic personality assessment consists of the automatic classification of users´ personality traits from the data such as video, speech and text. Despite growing number of works in personality assessment, it is still very difficult to say what the current state-of-the-art is. The objective of this survey paper is to discuss various approaches used for personality assessment and to present current state-of-art related to it. It also provides guidelines for further research.
  • Keywords
    "Psychology","Smart phones","Support vector machines","Media","Speech","Social network services","Market research"
  • Publisher
    ieee
  • Conference_Titel
    Information Processing (ICIP), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/INFOP.2015.7489402
  • Filename
    7489402