Early-Warning System Perception: a Study on Fire Safety

Warnings can help prevent damage and harm if they are issued timely and provide information helping responders and population to adequately prepare for the disaster to come. Today, there are many indicator and sensor systems that are designed to reduce disaster risks, or issue early warnings. In this paper we analyze the perception that people have from security management systems and we propose an indicator to measure Early-Warning System perception for people-oriented decision support. To illustrate our approach, we present a study of the fire safety system in our University.

[1]  R. Basher.  Global early warning systems for natural hazards: systematic and people-centred , 2006, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[2]  Staffan Andersson,et al.  The Politics of Perception: Use and Abuse of Transparency International's Approach to Measuring Corruption , 2009 .

[3]  John Ingham,et al.  Why do people use information technology? A critical review of the technology acceptance model , 2003, Inf. Manag..

[4]  J HOCHBERG,et al.  Perception: toward the recovery of a definition. , 1956, Psychological review.

[5]  Elsa Negre,et al.  Beyond Early: Decision Support for Improved Typhoon Warning Systems , 2015, ISCRAM.

[6]  Roberto Golinelli,et al.  Consumer Sentiment and Economic Activity: A Cross Country Comparison , 2004 .

[7]  J. Gaillard,et al.  From knowledge to action , 2013 .

[8]  Dou Long,et al.  Reliability of Flood Warning Systems , 1994 .

[9]  G. Proulx,et al.  Occupant behaviour and evacuation , 2001 .

[10]  Tom W. Smith,et al.  The Perception of Corruption , 2010 .

[11]  John G. Matsusaka,et al.  Consumer Confidence and Economic Fluctuations , 1995 .

[12]  W. James.  II.—WHAT IS AN EMOTION ? , 1884 .

[13]  Nicholas Frank Pidgeon,et al.  The issue of trust and its influence on risk communication during a volcanic crisis , 2008 .

[14]  Richard T. Watson,et al.  Service Quality: A Measure of Information System Effectiveness , 1995, MIS Q..

[15]  Ann Phoenix,et al.  The relationship between qualitative and quantitative research: Lessons from feminist psychology , 1994 .

[16]  Michael D. Akers,et al.  International Perception Of Corruption , 2011, BIS 2011.

[17]  John H. Sorensen,et al.  Hazard Warning Systems: Review of 20 Years of Progress , 2000 .

[18]  P. Wilhelm.  International Validation of the Corruption Perceptions Index: Implications for Business Ethics and Entrepreneurship Education , 2002 .

[19]  Johann Graf Lambsdorff,et al.  The Methodology of the Corruption Perceptions Index 2008 , 2006 .

[20]  P. Brennan.  Modelling Cue Recognition And Pre-Evacuation Response , 2000 .

[21]  Fred D. Davis.  Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[22]  E. Quarantelli.  DISASTER CRISIS MANAGEMENT: A SUMMARY OF RESEARCH FINDINGS , 1988 .

[23]  Yong Chen,et al.  Using Trust for Secure Collaboration in Uncertain Environments , 2003, IEEE Pervasive Comput..

[24]  Dennis S. Mileti,et al.  Communication of Emergency Public Warnings: A Social Science Perspective and State-of-the-Art Assessment , 1990 .

[25]  Fredrik Galtung,et al.  Measuring the Immeasurable: Boundaries and Functions of (Macro) Corruption Indices , 2004 .

[26]  Britt-Marie Drottz-Sjöberg,et al.  Perception of risk : studies of risk attitudes, perceptions and definitions , 1991 .

[27]  D. Provitolo,et al.  EMERGENT HUMAN BEHAVIOUR DURING A DISASTER: THEMATIC VERSUS COMPLEX SYSTEMS APPROACHES , 2011 .

[28]  H. Schuman,et al.  The Effect of the Question on Survey Responses: A Review , 1982 .

[29]  Meg Gerrard.  Perception of Risk: Studies of Risk Attitudes, Perceptions and Definition. , 1992 .

[30]  Detmar W. Straub,et al.  Gender Differences in the Perception and Use of E-Mail: An Extension to the Technology Acceptance Model , 1997, MIS Q..

[31]  K S Reisinger,et al.  Smoke detectors: reducing deaths and injuries due to fire. , 1980, Pediatrics.

[32]  S. T. Foster,et al.  User involvement during information systems development: a comparison of analyst and user perceptions of system acceptance , 1999 .

[33]  D. Paton.  Preparing for natural hazards: The role of community trust , 2007 .

[34]  J. Liker,et al.  User acceptance of expert systems: a test of the theory of reasoned action , 1997 .

[35]  M E Paté-Cornell,et al.  Warning systems in risk management. , 1986, Risk analysis : an official publication of the Society for Risk Analysis.

[36]  John Twigg,et al.  The Human Factor in Early Warnings: Risk Perception and Appropriate Communications , 2003 .

[37]  Erica D. Kuligowski,et al.  The Process of Human Behavior in Fires , 2009 .

[38]  T. Ribot,et al.  La Psychologie Des Sentiments , 2015 .

[39]  C. R. Wade,et al.  Communicating with the Public about Risk , 1992, Conference Record on Crossing Frontiers..

[40]  Zhaoyu Liu,et al.  A Formal Definition for Trust in Distributed Systems , 2005, ISC.

[41]  J. G. Goldammer,et al.  Early warning systems for the prediction of and appropriate response to wildfires and related environmental hazards , 1999 .

[42]  Sydney C. Ludvigson,et al.  Consumer Confidence and Consumer Spending , 2004 .

[43]  Daniel Straub,et al.  Reliability and effectiveness of early warning systems for natural hazards: Concept and application to debris flow warning , 2015, Reliab. Eng. Syst. Saf..