  Human cognition significantly influences expressed behavior and is
intrinsically tied to authentic personality traits. Personality assessment
plays a pivotal role in various fields, including psychology, education, social
media, etc. However, traditional self-report questionnaires can only provide
data based on what individuals are willing and able to disclose, thereby
lacking objective. Moreover, automated measurements and peer assessments demand
significant human effort and resources. In this paper, given the advantages of
the Virtual Reality (VR) technique, we develop a VR simulator --
PersonalityScanner, to stimulate cognitive processes and simulate daily
behaviors based on an immersive and interactive simulation environment, in
which participants carry out a battery of engaging tasks that formulate a
natural story of first-day at work. Through this simulator, we collect a
synchronous multi-modal dataset with ten modalities, including
first/third-person video, audio, text, eye tracking, facial microexpression,
pose, depth data, log, and inertial measurement unit. By systematically
examining the contributions of different modalities on revealing personality,
we demonstrate the superior performance and effectiveness of
PersonalityScanner.
