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Transforming Disaster Education Through Immersive Technologies: A Comprehensive Bibliometric Review

This bibliometric review of 289 documents from 2003 to 2026 maps the rapid growth and thematic evolution of immersive technologies in disaster education, highlighting a shift from simple simulations to behavior-oriented learning and outlining future directions focused on AI integration and real-world behavioral transfer.

Original authors: Furqan Ishak Aksa, Ikhwan Amri

Published 2026-10-23
📖 4 min read☕ Coffee break read

Original authors: Furqan Ishak Aksa, Ikhwan Amri

Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). ✨ This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

Disaster education has long relied on the familiar tools of the classroom: lectures, textbooks, and videos. These methods are good at teaching facts, but they struggle to prepare people for the chaos of a real emergency. When the ground shakes or floodwaters rise, knowing the theory is not enough; people need to practice making decisions under pressure in a safe space. This is where immersive technology enters the picture. These are digital tools that surround a person with a simulated world, using headsets or screens to create a sense of being physically present in a dangerous situation without any actual risk. By stepping into a virtual earthquake or a fire drill, learners can experience the urgency of a disaster and practice their responses, bridging the gap between knowing what to do and actually doing it.

A team of researchers from Universitas Samudra in Indonesia recently set out to understand how this field has grown and where it is heading. They did not conduct a new experiment in a virtual lab; instead, they performed a massive review of existing scientific work. They gathered 289 research papers published between 2003 and 2026 that focused on using these immersive tools for disaster training. By analyzing the authors, the countries involved, and the topics covered, they mapped the entire landscape of this research to see how the conversation has changed over two decades.

The story they found is one of rapid acceleration and a shift in focus. For many years, research in this area was slow, with fewer than ten papers published annually. However, starting around 2017, interest exploded, reaching a peak in 2025 with 45 papers published in a single year. The United States, Japan, and China have produced the most studies, but a closer look at who is being cited the most reveals a different leader. New Zealand, despite having fewer total publications than the giants, has produced work that is cited more frequently than any other nation. This suggests that while some countries are busy building the technology, New Zealand researchers are leading the way in figuring out how to make that technology effective for learning.

The most significant discovery in this review is a fundamental change in what researchers are trying to achieve. In the early days, the goal was simply to build realistic simulations. If a virtual earthquake looked and sounded real, it was considered a success. Today, the focus has moved beyond mere visual fidelity. The research now centers on how these environments help people think, decide, and act. The most influential papers are no longer just about the technology itself; they are about "serious games"—interactive scenarios where learners face challenges, make choices, and see the consequences of those choices immediately. The goal is no longer just to show a disaster, but to train the brain to process information and react correctly when time is running out.

This shift has also changed the types of disasters being studied. Currently, the vast majority of research focuses on earthquakes and floods, likely because these events are easier to simulate with current technology. However, the review highlights a gap: other dangers like tsunamis, volcanic eruptions, and landslides are largely ignored. The researchers argue that future work must expand to cover these diverse hazards, as each presents unique challenges that require different kinds of training. Furthermore, the study points out that many current programs are static; the scenario plays out the same way every time. The next frontier, the authors suggest, is to create systems that adapt to the learner, changing the difficulty or the situation based on how the person is performing, much like a coach adjusting a training drill in real time.

The map of who is doing this work also shows a clear divide. While collaboration is growing, it is heavily concentrated among a few wealthy nations with strong research infrastructure. Large parts of the world, including Africa and South America, remain underrepresented, even though these regions often face severe disaster risks. The researchers emphasize that for these tools to be truly useful, they must be developed with local contexts in mind, rather than just copying models from one country to another.

Ultimately, this review suggests that the future of disaster education lies not in making virtual worlds look more real, but in making them smarter. The technology has matured enough to stop being a novelty and start being a practical tool for saving lives. The challenge now is to ensure that these digital experiences do more than just engage a student for a few minutes; they must create lasting changes in behavior that hold up when a real disaster strikes. By moving from simple simulation to adaptive, decision-focused learning, the field is preparing to turn virtual practice into real-world readiness.

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