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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2024.10
- 수록면
- 1,215 - 1,226 (12page)
- DOI
- 10.9717/kmms.2024.27.10.1215
이용수
초록· 키워드
오류제보하기
In virtual reality (VR) games, the realism and expressiveness of character expressions are key factors in enhancing the player's immersive experience. This paper explores the application and future development of multimodal ecological artificial intelligence (AI) in the shaping of VR game character expressions. This paper looks forward to the future application prospects of multimodal ecological AI in VR games and discusses the possible technical challenges and development directions. Through objective data experimental research, it is evaluated that multimodal ecological AI will be an important driving force for the development of VR games, and is expected to bring the possibility of richer and more immersive gaming experience in the future.
목차
ABSTRACT
1. INTRODUCTION
3. CASE ANALYSIS RESEARCH
4. EMPIRICAL RESEARCH
5. CONCLUSION AND FUTURE RESEARCH
REFERENCE
참고문헌 (8)
참고문헌 신청
D.M. Shafer, C.P. Carbonara, and M.F. Korpi, “Factors Affecting Enjoyment of Virtual Reality Games: A Comparison Involving Consumer-Grade Virtual Reality Technology,” Games for Health, Vol. 8, No. 1, pp. 15-23, 2019.
X. Xiong and C.H. Kim, “Research on the Relationship between Dynamic Posters in Public Space and Consumers' Immersion, Positive Emotions and Satisfaction,” Journal of Korea Multimedia Society, Vol. 26, No. 2, pp. 359-367, 2023.
M. Egger, M. Ley, and S. Hanke, “Emotion Recognition from Physiological Signal Analysis: A Review,” Electronic Notes in Theoretical Computer Science, Vol. 343, No. 1, pp. 35-55, 2019.
S. Liszio, K. Emmerich, and M. Masuch, “The Influence of Social Entities in Virtual Reality Games on Player Experience and Immersion,” Proceedings of the 12th International Conference on the Foundations of Digital Games, pp. 1-10, 2017.
H. Cha and C. Im, “Performance Enhancement of Facial Electromyogram–Based Facial-Expression Recognition for Social Virtual Reality Applications using Linear Discriminant Analysis Adaptation,” Virtual Reality, Vol. 26, No. 1, pp. 385-398, 2022.
X. Xiong and C.H. Kim, “Research on the Relationship between Dynamic Posters in Public Space and Consumers' Immersion, Positive Emotions and Satisfaction,” Journal of Korea Multimedia Society, Vol. 26, No. 2, pp. 359-367, 2023.
M. Egger, M. Ley, and S. Hanke, “Emotion Recognition from Physiological Signal Analysis: A Review,” Electronic Notes in Theoretical Computer Science, Vol. 343, No. 1, pp. 35-55, 2019.
S. Liszio, K. Emmerich, and M. Masuch, “The Influence of Social Entities in Virtual Reality Games on Player Experience and Immersion,” Proceedings of the 12th International Conference on the Foundations of Digital Games, pp. 1-10, 2017.
H. Cha and C. Im, “Performance Enhancement of Facial Electromyogram–Based Facial-Expression Recognition for Social Virtual Reality Applications using Linear Discriminant Analysis Adaptation,” Virtual Reality, Vol. 26, No. 1, pp. 385-398, 2022.
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