Terje Gjøsæter, Jaziar Radianti, & Weiqin Chen. (2021). Towards Situational Disability-aware Universally Designed Information Support Systems for Enhanced Situational Awareness. In Amanda Hughes, Fiona McNeill, & Christopher W. Zobel (Eds.), ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management (pp. 1038–1047). Blacksburg, VA (USA): Virginia Tech.
Abstract: This paper takes on the challenge of designing situational awareness information systems that take into account not only the prevalence of so-called demons of situational awareness, but also situational disabilities that will typically occur in a disaster situation, both in the control room and in the field among the general public as well as first responders. It further outlines how a situational awareness information system process model can be adapted and used as a basis for designing situational awareness information support systems that address these issues with the help of Universal Design principles.
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Pouyan Fotouhi Tehrani, Niklas von Kalckreuth, & Selma Lamprecht. (2020). Toward an Integrative Model of Trust for Digital Emergency Communication. In Amanda Hughes, Fiona McNeill, & Christopher W. Zobel (Eds.), ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management (pp. 1012–1021). Blacksburg, VA (USA): Virginia Tech.
Abstract: Digital technologies have become an integral enabler of communication during various phases of emergency management (EM). A crucial prerequisite of effective communication between authorities and the public during EM is the establishment of adequate mutual trust. Trust, however, is an elusive concept which is not easily translatable into technical settings. In this paper we propose an integrative model of trust in digital communication and show how such model can be advantageous in assessing and improving trust relations in context of EM. Our interdisciplinary model, which is based on findings from psychology, sociology and computer sciences provides an abstraction which not only seizes both subjective and objective as well as personal and non-personal, \eg institutional or cultural, aspects of trust but at the same time is concrete enough to be applicable to real-life scenarios.
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Jonas Höchst, Lars Baumgartner, Franz Kuntke, Alvar Penning, Artur Sterz, & Bernd Freisleben. (2020). LoRa-based Device-to-Device Smartphone Communication for Crisis Scenarios. In Amanda Hughes, Fiona McNeill, & Christopher W. Zobel (Eds.), ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management (pp. 996–1011). Blacksburg, VA (USA): Virginia Tech.
Abstract: In this paper, we present an approach to facilitate long-range device-to-device communication via smartphones in crisis scenarios. Through a custom firmware for low-cost LoRa capable micro-controller boards, called rf95modem, common devices for end users can be enabled to use LoRa through a Bluetooth, Wi-Fi, or serial connection. We present two applications utilizing the flexibility provided by the proposed firmware. First, we introduce a novel device-to-device LoRa chat application that works a) on the two major mobile platforms Android and iOS and b) on traditional computers like notebooks using a console-based interface. Second, we demonstrate how other infrastructure-less technology can benefit from our approach by integrating it into the DTN7 delay-tolerant networking software. The firmware, the device-to-device chat application, the integration into DTN7, as well as the experimental evaluation code fragments are available under permissive open-source licenses.
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Harrison Cole. (2020). Accessible Mitigation Planning: Tactile Hazard Map Design and Evaluation. In Amanda Hughes, Fiona McNeill, & Christopher W. Zobel (Eds.), ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management (pp. 1031–1037). Blacksburg, VA (USA): Virginia Tech.
Abstract: While creating a community hazard mitigation plan (HMP) has become recognized as a key component of successful disaster management, significant portions of the process are often inaccessible to people with vision disabilities. Maps in particular are often large, visually dense documents that are printed on two-dimensional paper, or distributed via PDF with no alternate text. For people with profound low vision or who are blind, alternative media is required. The research discussed here proposes that tactile maps may present an accessible and cost-effective medium for representing geospatial data relevant to the hazard mitigation planning process. Using flood insurance rate maps (FIRMs) distributed by the Federal Emergency Management Agency (FEMA) as a starting point, this paper proposes an evaluatory framework for transcribing conventional maps into tactile documents, as well as characterizing users' experiences using them for mitigation planning, directions for future research and generalizing the process for applications in other domains.
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Abhish Khanal, Deepak Chand, Prakash Chaudhary, Subash Timilsina, Sanjeeb Prasad Panday, Aman Shakya, et al. (2020). Search Disaster Victims using Sound Source Localization. In Amanda Hughes, Fiona McNeill, & Christopher W. Zobel (Eds.), ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management (pp. 1022–1030). Blacksburg, VA (USA): Virginia Tech.
Abstract: Sound Source Localization (SSL) are used to estimate the position of sound sources. Various methods have been used for detecting sound and its localization. This paper presents a system for stationary sound source localization by cubical microphone array consisting of eight microphones placed on four vertical adjacent faces which is mounted on three wheel omni-directional drive for the inspection and monitoring of the disaster victims in disaster areas. The proposed method localizes sound source on a 3D space by grid search method using Generalized Cross Correlation Phase Transform (GCC-PHAT) which is robust when operating in real life scenario where there is lack of visibility. The computed azimuth and elevation angle of victimized human voice are fed to embedded omni-directional drive system which navigates the vehicle automatically towards the stationary sound source.
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