Understanding the Impact of Animation Technology in Virtual Reality: A Systematic Literature Review
This systematic literature review examines at the impact of animation technology on virtual reality (VR) environments. Using complex search techniques on the Scopus and ERIC databases, 30 articles were chosen, with an emphasis on the keywords "animation," "virtual reality," and "technology." The investigation identifies three major themes: improved user experience, educational integration, and industry innovations. The study investigates how animation innovations contribute to immersion, presence, and involvement in virtual reality contexts. Educational Integration studies the use of animation technology in training simulations, virtual classrooms, and skill development. Industry Innovations evaluates the impact of animation technology on various industries, highlighting developing trends and potential for innovation. This study, through a thorough analysis of the literature, gives significant insights into the varied relationship between animation technology and VR, shedding light on its importance for user engagement, educational applications, and industrial advancement. Keywords include animation, virtual reality, technology, enhanced user experience, educational integration, and industry innovations.
Authors
- Wan Azani Mustafa (ORCID: https://orcid.org/0000-0001-7260-6085)
- Suraya Md Nasir (ORCID: https://orcid.org/0000-0002-1700-5049)
- Hafizul Fahri Hanafi (ORCID: https://orcid.org/0000-0002-3205-0956)
- Banung Grahita (ORCID: https://orcid.org/0009-0001-3162-6570)
- Miharaini Md Ghani (ORCID: https://orcid.org/0000-0002-3330-7805)
- Nur Safinas Albakry
- Mohd Ekram Alhafis Hashim (ORCID: https://orcid.org/0000-0002-1096-6306)
- Catherina Ana Ugap
Institutions
- Bandung Institute of Technology (ID)
- Universiti Sains Malaysia (MY)
- Sultan Idris Education University (MY)
- Universiti Malaysia Perlis (MY)
Publication Details
- Journal
- International Journal of Advanced Research in Computational Thinking and Data Science
- Published
- 2025-04-15
- DOI
- https://doi.org/10.37934/ctds.1.1.5365a
- Citations
- 2
- Primary Topic
- Digital Media and Visual Art
- Type
- article
- Field-Weighted Citation Impact
- 7.08