Visual BFI: an Exploratory Study for Image-based Personality Test
Jitao Sang, Huaiwen Zhang, Changsheng Xu

TL;DR
This paper introduces an exploratory framework for an image-based personality test where users select preferred images among conceptually grouped options to assess personality traits, offering a novel alternative to traditional text-based assessments.
Contribution
It presents a preliminary framework for designing image-based personality tests, including concept-question identification and image-option selection, demonstrating feasibility through evaluations.
Findings
Feasibility shown with limited questions
Preliminary framework established for image-based testing
Demo available online
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 image-based personality test in limited questions.
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Taxonomy
TopicsPersonality Traits and Psychology · Humor Studies and Applications · Image Retrieval and Classification Techniques
