Improving Usability of Search and Rescue Decision Support Systems: WARA-PS Case Study

Domova, Veronika; Gärtner, Erik; Präntare, Fredrik; Pallin, Martin; Källström, Johan; Korzhitskii, Nikita

doi:10.1109/etfa46521.2020.9211980

Cited by 4 publications

(1 citation statement)

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“…This paper aims to address the social and organizational issues of communication during an emergency by supporting rescue team members in geotagging different pieces of information on the scene and visualizing it upon demand. Geo-locatable information can be shared and visualized in different formats such as on 2D maps for mission commanders [21], overlays on video streams for remote team members, and even by displaying virtual objects using augmented reality headmounted displays for the on-scene first responders [49,50]. UAVs in emergency response also utilize geolocated information to make autonomous decisions during missions.…”

Section: Introductionmentioning

confidence: 99%

RescueAR: Augmented Reality Supported Collaboration for UAV Driven Emergency Response Systems

Agrawal¹,

Cleland‐Huang²

2021

Preprint

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Fig. 1. RescueAR utilizes location-based augmented reality technology to facilitate the exchange of information among rescue team members during a UAV-driven emergency response. (a) Flying-AR : Allows remote monitoring teams to mark the injured person in the aerial video stream from a UAV. (b) FirstResponse-AR : Allows on-scene first response team members to visualize the location of the identified injured victim in (a) using AR glasses or mobile devices. (c) Mission-Control : Allows mission planning team to visualize the spatial summary of the mission including the location of UAVs, their aerial video stream, and points of interest identified via (a) Emergency response events are fast-paced, noisy, and they require teamwork to accomplish the mission. Furthermore, the increasing deployment of Unmanned Aerial Vehicles (UAVs) alongside emergency responders, demands a new form of partnership between humans and UAVs. Traditional radio-based information exchange between humans during an emergency response suffers from a lack of visualization and often results in miscommunication. This paper presents a novel collaboration platform: RescueAR, which utilizes the paradigm of Location-based Augmented Reality to geotag, share, and visualize information. RescueAR aims to support the two-way communication between humans and UAVs, facilitate collaboration across diverse responders, and visualize scene information relevant to the rescue team's role. According to our feasibility study, user study, followed by a focus group session with police officers, RescueAR can support rescue teams in developing the spatial cognition of the scene, facilitate the exchange of geolocation information, and complement existing communication tools during the UAV-supported emergency response. CCS Concepts: • Human-centered computing → Collaborative and social computing.

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Section: Introductionmentioning

confidence: 99%