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Visual BFI: An Exploratory Study for Image-Based Personality Test

  • Jitao SangEmail author
  • Huaiwen Zhang
  • Changsheng Xu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9916)

Abstract

This paper positions and explores the topic of image-based personality test. Instead of responding to text-based questions, the subjects will be provided a set of “choose-your-favorite-image” visual questions. With the image options of each question belonging to the same concept, the subjects’ personality traits are estimated by observing their preferences of images under several unique concepts. The solution to design such an image-based personality test consists of concept-question identification and image-option selection. We have presented a preliminary framework to regularize these two steps in this exploratory study. A demo version of the designed image-based personality test is available at http://www.visualbfi.org/. Subjective as well as objective evaluations have demonstrated the feasibility of accurately estimation the personality of subjects in limited round of visual questions.

Keywords

Personality Trait Support Vector Regression Personality Test Questionnaire Design Single Concept 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

The authors thank Cristina Segalin for providing the PsychoFlickr dataset and the code of CG+LASSO. This work is supported by National Basic Research Program of China (No. 2012CB316304), National Natural Science Foundation of China (No. 61432019, 61225009, 61303176, 61272256, 61373122, 61332016).

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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  1. 1.Institute of Automation, Chinese Academy of SciencesBeijingChina
  2. 2.University of Chinese Academy of SciencesBeijingChina

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