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Soussan Djamasbi, Eleanor T. Loiacono, & Yitzhak Mendelson. (2010). Affect feedback during crisis and its role in improving IS utilization. In C. Zobel B. T. S. French (Ed.), ISCRAM 2010 – 7th International Conference on Information Systems for Crisis Response and Management: Defining Crisis Management 3.0, Proceedings. Seattle, WA: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: This research looks at a portion of a larger research question, which is does including affect feedback into an existing 911 call taking process improve IS utilization? The first step is to look at the impact of affect feedback in a controlled environment so that possible issues that could arise can be mitigated early on before actual implementation in a call center is performed. This paper focuses on the first step, a controlled laboratory experiment, which is explained in the methodology section of this paper.
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Ke Wang, Yongsheng Yang, Genserik Reniers, Jian Li, & Quanyi Huang. (2021). An Attribute-based Model to Retrieve Storm Surge Disaster Cases. In Anouck Adrot, Rob Grace, Kathleen Moore, & Christopher W. Zobel (Eds.), ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management (pp. 567–580). Blacksburg, VA (USA): Virginia Tech.
Abstract: In China, storm surge disasters cause severe damages in coastal regions. One of the most important tasks is to predict affected regions and their relative damage levels to support decision-making. This study develops a two-stage retrieval model to search the most similar past disaster case to complete prediction. Based on spatial attributes of cases, the top-ranking past cases with a similar location to the target case are selected. Among these past cases, the most similar past case is selected by disaster attribute similarities. Three typical storm surge case studies have been used and implemented into this proposed model and the results show that all the most affected regions can be predicted. The proposed model simplifies the prediction process and updates results quickly. This study provides useful information for the government to make real-time response plans.
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Rosemarijn Looije, Mark A. Neerincx, & Geert-Jan M. Kruijff. (2007). Affective collaborative robots for safety & crisis management in the field. In K. Nieuwenhuis P. B. B. Van de Walle (Ed.), Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers (pp. 497–506). Delft: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: The lack of human-robot collaboration currently presents a bottleneck to widespread use of robots in urban search & rescue (USAR) missions. The paper argues that an important aspect of realizing human-robot collaboration is collaborative control, and the recognition and expression of affect. Affective collaborative robots can enhance joint human-robot performance by adapting the robot's (social) role and interaction to the user's affective state and the context. Current USAR robots lack these capabilities. This paper presents theory, application domains, and requirements for affective collaborative robots based on the current state of the art. With methods from cognitive architectures, affective computing, and human-robot interaction, three core functions of affective collaborative robots can be realized: sliding autonomy, affective communication, and adaptive attitude. These robot functions can substantially enhance the efficiency and effectiveness of rescue workers and meanwhile reduce their cognitive workload. Furthermore, robots with such functions can approach civilians in the field appropriately.
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Lachlan MacKinnon, & Liz Bacon. (2012). Developing realistic crisis management training. In Z.Franco J. R. L. Rothkrantz (Ed.), ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management. Vancouver, BC: Simon Fraser University.
Abstract: Current crisis management training, at the strategic level, is predominantly focused on two approaches, table-top exercises and large-scale physical simulations. Unfortunately, neither of these approaches provides the necessary realism to accurately prepare trainees for the stress, volume and speed of decision-making required in an actual crisis situation. The development of virtual environments, rich multimedia, and games technologies has resulted in considerable work in developing new training support tools. Some of this work has introduced more realistic stress into the training environment, but to date there has been no systematic approach to the creation and management of stress in crisis management training. The Pandora project has built from existing models taken from crisis management Gold Commander training, timeline-based event network modelling, augmented and virtual reality serious games environments, affective computing research, and emotional ambience models from film and TV, to develop a rich multimedia training environment offering just such an approach. © 2012 ISCRAM.
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Yulia Tyshchuk, & William A. Wallace. (2013). The use of social media by local government in response to an extreme event: Del norte county, CA response to the 2011 Japan tsunami. In J. Geldermann and T. Müller S. Fortier F. F. T. Comes (Ed.), ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management (pp. 802–811). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: Social media has become increasingly important for emergency management. One example is its current use by governmental organizations to disseminate emergency-relevant information. During disaster events, it is imperative for people in affected areas to obtain accurate information. People using social media make a conscious decision to trust, act on, propagate or disregard emergency-relevant information. However, local government, in general, has not developed agreed upon ways to use social media in emergencies. This study documents how emergency management was able to successfully partner with local media and utilize social media to develop important relationships with the affected community via social media in emergencies. The study demonstrates a way to successfully utilize social media during disaster events in several ways: by closing a feedback loop between first responders and the public, by monitoring information flow, and by providing regular updates to the public.
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Hüseyin Can Ünen. (2012). Developing a framework for a social vulnerability and consequence-based post-disaster behavior analysis methodology. In Z.Franco J. R. L. Rothkrantz (Ed.), ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management. Vancouver, BC: Simon Fraser University.
Abstract: The proposed study is expected to focus on the less investigated areas by the previous seismic risk analyses in Turkey. Most of the existing loss assessment methodologies focus on structural damage, infrastructural damage, economic impact, and casualties. However, affected population estimates and development of plans for the immediate needs and recovery requirements of the surviving population are also of equal importance. The proposed framework in this aspect will be utilizing previous social vulnerability and seismic loss assessment studies to develop an analysis methodology for affected population and social response analyses. The methodology is expected to help response planners and decision makers in determining the needs for the surviving population in the recovery process. © 2012 ISCRAM.
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