Rohit Valecha
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Abstract
The current state of emergency communication is dispatch-mediated (the messages from the scene are directed towards the responders and agencies through the dispatch agency). These messages are logged in electronic documents called incident reports, which are useful in monitoring the incident, off-site supervision, resource allocation, and post-incident analysis. However, these messages do not adhere to any particular structure, and there is no set format. The lack of standards creates a problem for sharing information among systems and responders and has a detrimental impact on systems interoperability. In this article, we develop a National Information Exchange Model (NIEM) and Universal Core (UCORE) compliant messaging model, considering message structures and formats, to foster message standardization.
- Albright, A., Howard-Pitney, B., Roberts, S., and Zicarelli, J. 1998. Tell your story: Guidelines for preparing an evaluation report. California Department of Health Services, Sacramento, CA.Google Scholar
- Andal, N. 1998. Communication, Theories and Models. Himalaya Publishing House, Mumbai.Google Scholar
- Berlo, D. 1960. The Process of Communication. Holt, Rinehart and Winston, Inc., New York.Google Scholar
- Bharosa, N., Janssen, M., Rao, H. R., and Lee, J. 2008. Adaptive information orchestration: Architectural principles improving information quality. In Proceedings of the 5th International ISCRAM Conference.Google Scholar
- Bharosa, N., Lee, J., and Janssen, M. 2010. Challenges and obstacles in information sharing and coordination during multi-agency disaster response: Propositions from field exercises. Inform. Syst. Frontiers 12, 1, 49--65. Google ScholarDigital Library
- Caragea, C., McNeese, N., Jaiswal, A., Traylor, G., Kim, H., Mitra, P., Wu, D., Tapia, A., Giles, L., Jansen, B., and Yen, J. 2011. Classifying text messages for the Haiti earthquake. In Proceedings of the 8th International Conference on Information Systems for Crisis Response and Management (ISCRAM).Google Scholar
- Chen, H. 2011. Editorial: Design science, grand challenges, and societal impacts. ACM Trans. Manage. Inform. Syst. 2, 1. Google ScholarDigital Library
- Chen, R., Sharman, R., Rao, H. R., and Upadhyaya, S. 2005. Design principles of coordinated multi-incident emergency response systems. In Intelligence and Security Informatics, P. Kantor, G. Muresan, F. Roberts, D. Zeng, F. Y. Wang, H. Chen, and R. Merkle Eds., Springer Berlin, 177--202. Google ScholarDigital Library
- Chen, R., Sharman, R., Rao, H. R., and Upadhyaya, S. 2007. Design principles for critical incident response systems. Inform. Syst. E-Bus. Manage. 5, 3, 201--227.Google ScholarCross Ref
- Chen, R., Sharman, R., Chakravarti, N., Rao, H. R., and Upadhyaya, S. 2008. Emergency response information system interoperability: Development of chemical incident response data model. J. Assoc. Inform. Syst. 9:3, 7.Google Scholar
- Chen, R., Sharman, R., Rao, H. R., and Upadhyaya, S. 2012. Data model development for fire related extreme events: An activity theory approach. MIS Quarterly 37, 1. Google ScholarDigital Library
- Chou, C. H., Zahedi, F. M., and Zhao, H. 2011. Ontology for developing Web sites for natural disaster management: methodology and implementation. IEEE Trans. Syst. Man. Cybern. A Syst. Humans 41, 1, 50--62. Google ScholarDigital Library
- Chu, T. W. and Su, C. J. 2012. The design and evaluation of a radio frequency identification (RFID) enabled inpatient safety management system. Adv. Usability Eval. 20, 448.Google Scholar
- Comfort, L. K., Ko, K., and Zagorecki, A. 2004. Coordination in rapidly evolving disaster response systems. Amer. Behav. Sci. 48, 3, 295.Google ScholarCross Ref
- Cormack, G., Hidalgo, J., and Sánz, E. 2007. Feature engineering for mobile (SMS) spam filtering. In Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. Google ScholarDigital Library
- Curra, T., Bergin, R., and Josefek, R. 2009. A New role for emergency management: Fostering trust to enhance collaboration in complex adaptive emergency response systems. Naval Postgraduate School Thesis. http://www.dtic.mil/dtic/tr/fulltext/u2/a514087.pdf.Google Scholar
- Dawes, S. S., Cresswell, A. M., and Cahan, B. B. 2004. Learning from crisis. Soc. Sci. Comput. Rev. 22, 1, 52. Google ScholarDigital Library
- Duer, L. T. and Raspa, A. 1988. The English Emblem Tradition: Remaines of a Greater Worke concerning Britaine Vol. 4. University of Toronto Press, Toronto.Google Scholar
- Flores, F. and Ludlow, J. 1980. Doing and speaking in the office. In Decision Support Systems: Issues and Challenges, G. Fick and R. H. Sprague Eds., Pergamon Press, New York, 95--118.Google Scholar
- Flores, F., Graves, M., Hartfield, B., and Winograd, T. 1988. Computer systems and the design of organizational interaction. ACM Trans. Office Inf. Syst. 6, 2, 153--172. Google ScholarDigital Library
- Gupta, R. and Ratinov, L. 2008. Text categorization with knowledge transfer from heterogeneous data sources. In Proceedings of the AAAI. Google ScholarDigital Library
- Habermas, J. 1984. The Theory of Communicative Action: Reason and Rationalization of Society Vol. 1, Beacon Press, Boston.Google Scholar
- Hancock, P. and Hart, S. 2002. What can human factors/ergonomics offer? Ergonomics Des. 10, 1, 6--16.Google Scholar
- Harris, R. J. 2001. A Primer of Multivariate Statistics. Lawrence Erlbaum.Google Scholar
- Healy, M., Delany, S., and Zamolotskikh, A. 2005. An assessment of case-based reasoning for short text message classification. In Proceedings of the 16th Irish Conference on Artificial Intelligence and Cognitive Science.Google Scholar
- Hevner, A. R., March, S. T., Park, J., and Ram, S. 2004. Design science in information systems research. MIS Quarterly 28, 1, 75--105. Google ScholarCross Ref
- Hidalgo, J., Bringas, G., Sánz, E., and Garcia, F. 2006. Content based SMS spam filtering. In Proceedings of the ACM Symposium on Document Engineering. Google ScholarDigital Library
- Jang, H. C., Lien, Y. N., and Tsai, T. C. 2009. Rescue information system for earthquake disasters based on Manet Emergency Communication Platform. In Proceedings of the International Conference on Wireless Communications and Mobile Computing (IWCMC). Google ScholarDigital Library
- Janssen, M., Lee, J. K., Bharosa, N., and Cresswell, A. 2010. Advances in multi-agency disaster management: Key elements in disaster research. Inform. Syst. Frontiers 12, 1, 1--7. Google ScholarDigital Library
- Jiang, X., Chen, N. Y., Hong, J. I., Wang, K., Takayama, L., and Landay, J. A. 2004. Siren: Context-aware computing for firefighting. In Proceedings of Pervasive Computing. 87--105.Google Scholar
- Keselman, H. J. and Rogan, J. C. 1978. A comparison of the Modified-Tukey and Scheffe methods of multiple comparisons for pairwise contrasts. J. Amer. Statist. Assoc. 73, 361, 47--52.Google Scholar
- Klappenbach, D., Hollfelder, S., Meissner, A., and Wilbert, S. 2004. From analog voice radio to ICT: Data communication and data modeling for the German NBC reconnaissance vehicle. In Proceedings of the 1st International ISCRAM Conference.Google Scholar
- Klein, G. A. 1999. Sources of Power: How People Make Decisions. The MIT Press, Cambridge, MA.Google Scholar
- Kuechler, B. and Vaishnavi, V. 2008. On theory development in design science research: Anatomy of a research project. Euro. J. Inform. Syst. 17, 489--504.Google ScholarCross Ref
- Lau, R. Y. K., Liao, S. Y., Kwok, R. C. W., Xu, K., Xia, Y., and Li, Y. 2011. Text mining and probabilistic language modeling for online review spam detection. ACM Trans. Manage. Inf. Syst. Google ScholarDigital Library
- Lien, Y. N., Chi, L. C., and Shaw, Y. S. 2009. A walkie-talkie-like emergency communication system for catastrophic natural disasters. In Proceedings of the 10th International Symposium on Pervasive Systems, Heuristics and Networks. Google ScholarDigital Library
- Maletzke, G. 1981. Medienwirkungsforschung. Max Niemeyer Verlag, Tübingen, Germany.Google Scholar
- Manoj, B. S. and Hubenko, A. 2007. Communication challenges in emergency response. Comm. ACM 50, 3, 51--53. Google ScholarDigital Library
- Medina-Mora, R., Winograd, T., Flores, R., and Flores, F. 1992. The action workflow approach to workflow management technology. In Proceedings of the ACM Conference on Computer-Supported Cooperative Work. Google ScholarDigital Library
- Meissner, A., Luckenbach, T., Risse, T., Kirste, T., and Kirchner, H. 2002. Design challenges for an integrated disaster management communication and information system. In Proceedings of the 1st IEEE Workshop on Disaster Recovery Networks.Google Scholar
- Meissner, A., Wang, Z., Putz, W., and Grimmer, J. 2006. Mikobos---A mobile information and communication system for emergency response. In Proceedings of the 3rd International ISCRAM Conference.Google Scholar
- Mendonça, D. 2007. Decision support for improvisation in response to extreme events: Learning from the response to the 2001 World Trade Center attack. Decis. Supp. Syst. 43, 3, 952--967. Google ScholarDigital Library
- Munro, R. 2010. Crowdsourced translation for emergency response in Haiti: The global collaboration of local knowledge. In Proceedings of the AMTA Workshop on Collaborative Crowdsourcing for Translation.Google Scholar
- Munro, R. and Manning, C. 2010. Subword variation in text message classification. In Proceedings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics. Google ScholarDigital Library
- Niederman, F. and March, S. T. 2012. Design science and the accumulation of knowledge in the information systems discipline. ACM Trans. Manage. Inf. Syst. 3, 1. Google ScholarDigital Library
- Ott, W. E. 2003. Emergency messaging and contingency communications. J. Emergency Med. Serv. 28, 6, 108--110.Google Scholar
- Peffers, K., Tuunanen, T., Gengler, C. E., Rossi, M., Hui, W., Virtanen, V., and Bragge, J. 2006. The design science research process: A model for producing and presenting information systems research. In Proceedings of the 1st International Conference on Design Science in Information Systems and Technology. 83--106.Google Scholar
- Petrescu-Prahova, M. and Butts, C. T. 2005. Emergent coordinators in the World Trade Center disaster. Int. J. Mass Emerg. Disasters 28, 133--168.Google Scholar
- Puniškis, D., Laurutis, R., and Dirmeikis, R. 2006. An artificial neural nets for spam e-mail recognition. Electron. Elect. Eng. 1392--1215.Google Scholar
- Riley, J. and Riley, M. 1965. Mass communication and the social system. In Sociology Today Vol. II, R. K. Merton, L. Brown, and L. D. Cottrell Jr. Eds., Harper and Row, New York.Google Scholar
- Samba, M. M. 2010. Intergovernmental collaboration in emergency management: The case of the September 2009 Georgia flood. http://digitalcommons.kennesaw.edu/cgi/viewcontent.cgi?article=1429&context=etd.Google Scholar
- Scheffé, H. 1959. The Analysis of Variance, Wiley, New York.Google Scholar
- Schramm, W. 1961. How communication works. In The Process and Effects of Mass Communication, W. Schramm Ed., The University of Illinois Press, Urbana, IL.Google Scholar
- Searle, J. 1969. Speech Acts: An Essay in the Philosophy of Language, Cambridge University Press.Google ScholarCross Ref
- Searle, J. 1975. A taxonomy of illocutionary acts. In Language, Mind and Knowledge, K. Gunderson Ed., Minnesota Studies in the Philosophy of Science, vol. 11, University of Minnesota Press, Minneapolis.Google Scholar
- Seifert, C. 2007. Improving disaster management through structured flexibility among frontline responders. In Communicable Crises, D. E. Gibbons Ed., Information Age Publishing, NC, 83--136.Google Scholar
- Shannon, C. and Weaver, W. 1964. The Mathematical Theory of Communication. University of Illinois Press, Urbana, IL. Google ScholarDigital Library
- Sharman, R., Raghav, R. H., Kim, J. K., and Upadhyaya, S. 2008. An investigation of lessons learned from secondary information of Katrina and Rita hurricane disasters: A first responder perspective. J. Inform. Sci. Technol. 5, 1.Google Scholar
- Suchman, L. 1994. Do categories have politics? The language/action perspective reconsidered. Comput. Supp. Coop. Work: Intern. J. 2, 3, 177--190.Google ScholarCross Ref
- Turoff, M. 2002. Past and future emergency response information systems. Comm. ACM 45, 4, 29--32. Google ScholarDigital Library
- Turoff, M., Chumer, M., de Walle, B. V., and Yao, X. 2004. The design of a dynamic emergency response management information system (Dermis). J. Inform. Technol. Theory Appl. 5, 4.Google Scholar
- United States Department of Homeland Security. 2007. Homeland security grant program. www.dhs.gov/xlibrary/assets/grants_st-local_fy07.pdf.Google Scholar
- Valecha, R., Sharman, R., Monteiro, J., Rao, H. R., Upadhyaya, S., Keerthana, B., Patel, M., Singh, A., and Sharma, K. 2010. A prototype of a Fire-Related Extreme Eventz System (FREEZ). In Proceedings of the 20th Workshop on Information Technology and Systems.Google Scholar
- Valecha, R., Sharman, R., Rao, H. R., and Upadhyaya, S. 2012a. Emergency response system design: An examination of emergency communication messages. In Proceedings of Design Science Research in Information Systems and Technology (DESRIST). Google ScholarDigital Library
- Valecha, R., Sharman, R., Rao, H. R., and Upadhyaya, S. 2012b. Messaging model for emergency communication. In Proceedings of the Mid-West Association of Information Systems (MWAIS).Google Scholar
- Watson, J. and Hill, A. 2000. A Dictionary of Communication and Media Studies. Edward Arnold, New York.Google Scholar
- Winograd, T. 1987. A language/action perspective on the design of cooperative work. Human-Comput. Inter. 3, 1, 3--30. Google ScholarDigital Library
- Winograd, T. and Flores, F. 1987. Understanding Computers and Cognition: A New Foundation for Design. Addison-Wesley, Reading, MA. Google ScholarDigital Library
- Yang, J., Lee, J., Rao, A., and Touqan, N. 2009. Inter-organizational communications in disaster management. In Handbook of Research on ICT-Enabled Transformational Government: A Global Perspective, Weerakkody, Janssen, and Dwivedi Eds., IGI Global.Google Scholar
Index Terms
- A Dispatch-Mediated Communication Model for Emergency Response Systems
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