  Emotion recognition technology is crucial in providing a personalized user
experience. It is especially important in virtual reality(VR) to assess the
user's emotions to enhance their sense of immersion. We propose an emotion
recognition interface that incorporates the user's biometric data with machine
learning technology for increasing user engagement in VR. Our key technologies
include brainwave sensors and eye-tracking cameras embedded in a VR headset,
which seamlessly acquire physiological signals, and secondly, an attractiveness
recognition algorithm that uses bio-signals to predict the user's attraction on
visual stimuli. We conducted experiments to test the performance of the system,
and also interviewed experts and participants to acquire opinions on the
system. This study demonstrated the technical feasibility of our system with
high accuracy and usability. Interviewees expected that the interface will be
actively used in the context of various applications. Our proposed interface
could contribute to an immersive VR experience design.
