AEDHunter: Investigating AED Retrieval in the Real World via Gamified Mobile Interaction and Sensing
Helinyi Peng, Akihito Taya, Yuuki Nishiyama, Kaoru Sezaki

TL;DR
AEDHunter is a gamified mobile app that improves public AED retrieval skills through repeated, sensor-based practice, leading to faster retrieval times and increased confidence in real-world scenarios.
Contribution
This paper introduces AEDHunter, a novel gamified, sensor-enabled mobile system for in-situ AED retrieval training, demonstrating its effectiveness in real-world practice.
Findings
Participants reduced AED retrieval times after practice
Users reported increased confidence in locating AEDs
Sensor data revealed decreased hesitation during retrieval
Abstract
Early defibrillation significantly improves survival rates in cases of out-of-hospital cardiac arrest. However, limited public awareness of Automated External Defibrillator (AED) locations constrains their effective use. Existing solutions, such as static 2D maps, often fall short in urgent or complex real-world scenarios. To address this challenge, we developed AEDHunter, a gamified, location-based mobile application designed to transform AED retrieval into an engaging and repeatable practice experience. Leveraging smartphone sensors to analyze participants' movement and learning patterns, and using low-cost Bluetooth tags to verify arrivals at AED locations, AEDHunter guides users through multiple sessions of AED discovery. In a real-world evaluation study, participants significantly reduced their AED retrieval times after repeated practice sessions and reported increased confidence…
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Taxonomy
TopicsCardiac Arrest and Resuscitation · Healthcare Technology and Patient Monitoring · Context-Aware Activity Recognition Systems
