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/.
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This work is supported by National Natural Science Foundation of China (No. 61432019, 61225009, 61303176, 61272256, 61373122, 61332016).
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Zhang, H., Zhang, J., Sang, J., Xu, C. (2017). A Demo for Image-Based Personality Test. In: Amsaleg, L., Guðmundsson, G., Gurrin, C., Jónsson, B., Satoh, S. (eds) MultiMedia Modeling. MMM 2017. Lecture Notes in Computer Science(), vol 10133. Springer, Cham. https://doi.org/10.1007/978-3-319-51814-5_36
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DOI: https://doi.org/10.1007/978-3-319-51814-5_36
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