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Technologies Enabling Situational Awareness During Disaster Response: A Systematic Review

Abstract:
Disasters disrupt not only physical environments but also socio-cultural identities and sense of place. This study explores the role of Virtual Reality (VR) in post-disaster recovery, focusing on the earthquake-affected towns of Amatrice and Accumoli, Italy. Using a techno-ethnographic methodology, we integrated video interviews, 3D digital reconstruction, and co-creation to examine how immersive technologies facilitate emotional reconnection and community resilience. Findings suggest that VR environments can serve as spaces for mourning and re-familiarisation, helping individuals reconnect with lost surroundings. Multi-sensory elements (i.e. lighting, soundscapes, and everyday material details) proved crucial in fostering virtual place attachment. Intergenerational use of VR supported memory transmission, as younger community members relied on elders to interpret pre-disaster environments. However, trauma sensitivity remains essential, underscoring the value of community-centred, iterative design. This study contributes to digital heritage research by showing how VR can go beyond documentation, supporting storytelling and story-sharing, memory work, restauration of sense of place, and resilience-building, while calling for further study of its long-term impacts
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1017/dmp.2020.196

Authors

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Role:
Author
ORCID:
0000-0002-8367-5622
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Institution:
University of Oxford
Role:
Author
ORCID:
0000-0001-6522-138X
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Role:
Author
ORCID:
0000-0002-5578-9294
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Role:
Author
ORCID:
0000-0001-6047-1371


Publisher:
Cambridge University Press
Journal:
Disaster Medicine and Public Health Preparedness More from this journal
Volume:
16
Issue:
1
Pages:
341-359
Publication date:
2020-08-24
DOI:
EISSN:
1938-744X
ISSN:
1935-7893


Language:
English
Keywords:
Pubs id:
1132475
Local pid:
pubs:1132475
Source identifiers:
W3081173793
Deposit date:
2026-02-12
ARK identifier:
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