Natural Disaster
Augmented reality in earthquake rescue: impact on workload and decision making
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Author Weixuan Li, Glyn Lawson, Setia Hermawati & Kyle Harrington |
| Abstract This study investigates the application of augmented reality to enhance rescue efficiency, alleviate workload, and improve decision-making in earthquake rescue. The findings demonstrate that AR-based solutions surpass conventional approaches in task completion duration, map utilisation, and decision-making simplicity, underscoring AR's capacity to improve human factors issues in disaster contexts. Future studies should include professional rescue teams as well as more complex simulations to test AR's effectiveness in real-world emergency situations. |
Predicting Compliance Behaviour During a Flood Disaster Using the Talk-Through Method
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Author Razan Y. Aldahlawi, Glyn Lawson & Vahid Akbari |
| Abstract This study was conducted to explore compliance behaviour during flood evacuation, employing the talk-through approach developed by Lawson (2011), for which participants are required to explain their anticipated actions in response to a hypothetical emergency scenario. The results showed that social cues, as described by the Protective Action Decision Model (PADM) (Lindell & Perry, 2012), were found to be the most effective factor in reducing evacuation delay time and enhancing compliance with evacuation orders. It was also found that in the absence of any routing instructions or specific cues, evacuees ranked familiar and shortest (by distance) routes as more preferable than those taken by neighbours. This study contributes to our understanding of evacuees’ delay times and compliance with evacuation instructions, under the influence of different factors, including environmental cues, social cues, warning message contents, and various sources of the warning. It also demonstrated the value of the talk-through as a tool for studying human behaviour in floods without the risks or complications associated with data collection in real flood events. |
