Image-Based Personality Questionnaire Design
| Autor: | Xiaowen Huang, Jitao Sang, Changsheng Xu |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | ACM Transactions on Multimedia Computing, Communications, and Applications. 18:1-20 |
| ISSN: | 1551-6865 1551-6857 |
| DOI: | 10.1145/3503489 |
| Popis: | This article explores the problem of image-based personality questionnaire design. Compared with the traditional text-based personality questionnaire, the image-based personality questionnaire is more natural, truthful, and language insensitive. Instead of responding to textual questions, the subjects are provided a set of “choose-your-favorite-image” visual questions. With each question, consisting of image options describing the same semantic concept, the subjects are requested to choose their favorite image. Based on responses to typically 15 to 25 questions, we can accurately estimate the subjects’ personality traits in five dimensions. The solution to design such an image-based personality questionnaire 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 automatically adapting between desktop and mobile devices is available at http://120.27.209.14/vbfi . Subjective and objective evaluations have demonstrated the feasibility of accurately estimating a subject’s personality in a limited round of questions. |
| Databáze: | OpenAIRE |
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