Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
A Comparative Study for Known Item Visual Search Using Position Color Feature Signatures Read chapter Read first chapter

2017 | OriginalPaper | Chapter

A Demo for Image-Based Personality Test

Authors : Huaiwen Zhang, Jiaming Zhang, Jitao Sang, Changsheng Xu

Published in: MultiMedia Modeling

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

In this demo, we showcase an image-based personality test. Compared with the traditional text-based personality test, the proposed new test is more natural, objective, and language-insensitive. With each question consisting of images describing the same concept, the subjects are requested to choose their favorite image. Based on the choices to typically 15–25 questions, we can accurately estimate the subjects’ personality traits. The whole process costs less than 5 min. The online demo adapts well to PCs and smart phones, which is available at http://​www.​visualbfi.​org/​.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Video Search via Ranking Network with Very Few Query Exemplars
next chapter A Web-Based Service for Disturbing Image Detection
Literature
1.
Cristani, M., Vinciarelli, A., Segalin, C., Perina, A.: Unveiling the multimedia unconscious: implicit cognitive processes and multimedia content analysis. In: Proceedings of the 21st ACM International Conference on Multimedia, pp. 213–222. ACM (2013)
2.
Guntuku, S.C., Roy, S., Weisi, L.: Personality modeling based image recommendation. In: He, X., Luo, S., Tao, D., Xu, C., Yang, J., Hasan, M.A. (eds.) MMM 2015. LNCS, vol. 8936, pp. 171–182. Springer, Heidelberg (2015). doi:10.​1007/​978-3-319-14442-9_​15
3.
McCrae, R.R., John, O.P.: An introduction to the five-factor model and its applications. J. Pers. 60(2), 175–215 (1992)CrossRef
4.
Tausczik, Y.R., Pennebaker, J.W.: The psychological meaning of words: LIWC and computerized text analysis methods. J. Lang. Soc. Psychol. 29(1), 24–54 (2010)CrossRef
Metadata
Title
A Demo for Image-Based Personality Test
Authors
Huaiwen Zhang
Jiaming Zhang
Jitao Sang
Changsheng Xu
Copyright Year
2017
Book
MultiMedia Modeling

Print ISBN: 978-3-319-51813-8

Electronic ISBN: 978-3-319-51814-5

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-51814-5_36