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Brain Correlates of Emotion for XR Auditory Content

XR 음향 콘텐츠 활용을 위한 감성-뇌연결성 분석 연구

  • Park, Sangin (Industry-Academy Cooperation Team, Hanyang University) ;
  • Kim, Jonghwa (Department of Artificial Intelligence Research, Hansol Inticube) ;
  • Park, Soon Yong (Department of Smart City Research, Seoul Institute of Technology) ;
  • Mun, Sungchul (Department of Industrial Engineering, Jeonju University)
  • 박상인 (한양대학교 산학협력단) ;
  • 김종화 (한솔인티큐브 인공지능융합연구팀) ;
  • 박순용 (서울기술연구원 스마트도시연구실) ;
  • 문성철 (전주대학교 산업공학과)
  • Received : 2022.07.19
  • Accepted : 2022.09.19
  • Published : 2022.09.30

Abstract

In this study, we reviewed and discussed whether auditory stimuli with short length can evoke emotion-related neurological responses. The findings implicate that if personalized sound tracks are provided to XR users based on machine learning or probability network models, user experiences in XR environment can be enhanced. We also investigated that the arousal-relaxed factor evoked by short auditory sound can make distinct patterns in functional connectivity characterized from background EEG signals. We found that coherence in the right hemisphere increases in sound-evoked arousal state, and vice versa in relaxed state. Our findings can be practically utilized in developing XR sound bio-feedback system which can provide preference sound to users for highly immersive XR experiences.

본 논문은 XR 콘텐츠나 인터페이스 환경에서 활용할 수 있는 음향 자극의 종류를 고찰하고, 청각 자극 기반의 감성 유발이 뇌과학적으로 실효성을 가지는지에 대해 논의하였다. 외부 청각자극, 감성변화 및 뇌연결성의 상관관계 규명에 초점을 맞추어, XR 환경에서 사용자 경험을 제고하기 위한 기계학습 기반 개인 맞춤형 사운드 트랙 제공 서비스 개발이 필요하다는 시사점을 도출하였다. 또한, 짧은 음향자극으로 감성을 유발할 수 있는지를 테스트하여 청각자극에 의해 유발된 각성상태에서 우측 전두엽이나 전두엽, 두정엽, 후두엽 네트워크에서 뇌의 기능적 연결성이 강화되고 이완시에는 상반된 패턴을 보이는 것을 확인하였다. 본 연구에서 도출된 결과는 보다 입체적인 XR 상호작용 경험을 제시하고 사용자의 XR 인지수용성을 제고하여, 현장에서 실질적으로 적용될 수 있는 초실감 XR 사운드 바이오피드백 시스템 개발에 활용될 수 있을 것이다.

Keywords

Acknowledgement

This work was partly supported by Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea gover- nment(MSIT) (No. 2022-0-00137, XR User Interaction Evaluation and Employing Its Technology, 50%) and the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT) (No. NRF-2022R1C1C1010458, Cross Bio-sensing System for the Future XR Interface, 50%).

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