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Pacific Rim Conference on Multimedia

PCM 2016: Advances in Multimedia Information Processing - PCM 2016 pp 95–106Cite as

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

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Part of the book series: Lecture Notes in Computer Science ((LNISA,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.

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Notes

  1. 1.

    For those concepts favored by more than 104 users, 104 random users are selected to construct the sample set for this concept. We fix the sample number as 104 to facilitate the performance comparison with solutions in the next section.

  2. 2.

    In practical implementation, we can select images from different clusters to design several versions of questionnaires.

  3. 3.

    Note that the subjects were never given their personality test results from text-based BFI-10 or BFI-44 to avoid the interaction effect of different tests.

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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).

Author information

Authors and Affiliations

  1. Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Jitao Sang, Huaiwen Zhang & Changsheng Xu

  2. University of Chinese Academy of Sciences, Beijing, China

    Huaiwen Zhang & Changsheng Xu

Authors
  1. Jitao Sang
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  2. Huaiwen Zhang
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  3. Changsheng Xu
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Corresponding author

Correspondence to Jitao Sang .

Editor information

Editors and Affiliations

  1. Zhengzhou University, Zhengzhou, China

    Enqing Chen

  2. Jiaotong University, Xi’an, China

    Yihong Gong

  3. Zhengzhou University, Zhengzhou, China

    Yun Tie

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Sang, J., Zhang, H., Xu, C. (2016). Visual BFI: An Exploratory Study for Image-Based Personality Test. In: Chen, E., Gong, Y., Tie, Y. (eds) Advances in Multimedia Information Processing - PCM 2016. PCM 2016. Lecture Notes in Computer Science(), vol 9916. Springer, Cham. https://doi.org/10.1007/978-3-319-48890-5_10

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  • DOI: https://doi.org/10.1007/978-3-319-48890-5_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48889-9

  • Online ISBN: 978-3-319-48890-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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