What are close calls? A proposed taxonomy to inform risk communication research

Technology designers and researchers view close calls as an actionable source of information that can be leveraged to increase safety. Organizational representatives responsible for safety examine close call trends to understand their impact on human cognition and to improve risk communication. The relatively few published theoretical investigations of close calls have lacked focus. Attempts to relate close calls to Signal Detection Theory have often neglected the human judgment of event feedback. Furthermore, close call effects can be considered from a variety of perspectives, illustrating the enormity of the problem space. An important first step is to develop a taxonomy and framework that reflects close call impacts, severity, and potential for risk communication. The current article distinguishes close calls from false alarms, specifies a proposed framework for their definition, and demonstrates differences in severity within task domains. The article concludes with a proposed research agenda.

[1]  Donald D. Dorfman Probability matching in signal detection , 1969 .

[2]  Raja Parasuraman,et al.  Fuzzy Signal Detection Theory: Basic Postulates and Formulas for Analyzing Human and Machine Performance , 2000, Hum. Factors.

[3]  D. M. Green,et al.  Signal detection theory and psychophysics , 1966 .

[4]  J. M. Saveland,et al.  Integral leadership and signal detection for high reliability organizing and learning , 2005 .

[5]  Mustapha Mouloua,et al.  Automation Technology and Human Performance: Current Research and Trends , 1999 .

[6]  Howard Kunreuther,et al.  Near‐Miss Incident Management in the Chemical Process Industry , 2003, Risk analysis : an official publication of the Society for Risk Analysis.

[7]  Mark S Horswill,et al.  Using fuzzy signal detection theory to determine why experienced and trained drivers respond faster than novices in a hazard perception test. , 2007, Accident; analysis and prevention.

[8]  Yan Xiao,et al.  An Analysis of Problems with Auditory Alarms: Defining the Roles of Alarms in Process Monitoring Tasks , 1999 .

[9]  S. Nashef What is a near miss? , 2003, The Lancet.

[10]  Christopher D. Wickens,et al.  False Alerts in Air Traffic Control Conflict Alerting System: Is There a “Cry Wolf” Effect? , 2009, Hum. Factors.

[11]  James P. Bliss The cry-wolf phenomenon and its effect on alarm responses , 1993 .

[12]  John R. Clarke,et al.  How a System for Reporting Medical Errors Can and Cannot Improve Patient Safety , 2006, The American surgeon.

[13]  Robin L. Dillon,et al.  How Near-Misses Influence Decision Making Under Risk: A Missed Opportunity for Learning , 2008, Manag. Sci..

[14]  A. Killen,et al.  Learning from near misses in an effort to promote patient safety. , 2003, AORN journal.

[15]  George W. Baker,et al.  Man and Society in Disaster , 1962 .

[16]  Jordan Multer,et al.  Proceedings of the Human Factors Workshop: Improving Railroad Safety ThroughUnderstanding Close Calls , 2004 .

[17]  John D. Lee,et al.  Trust in Automation: Designing for Appropriate Reliance , 2004 .

[18]  Mica R. Endsley,et al.  Toward a Theory of Situation Awareness in Dynamic Systems , 1995, Hum. Factors.

[19]  Sung-Bae Cho,et al.  Hierarchical Probabilistic Network-Based System for Traffic Accident Detection at Intersections , 2010, 2010 7th International Conference on Ubiquitous Intelligence & Computing and 7th International Conference on Autonomic & Trusted Computing.

[20]  M. Birnbaum Base Rates in Bayesian Inference: Signal Detection Analysis of the Cab Problem , 1983 .

[21]  Michael S. Wogalter,et al.  Handbook of Warnings , 2006 .

[22]  Raja Parasuraman,et al.  Fuzzy signal detection theory: analysis of human and machine performance in air traffic control, and analytic considerations , 2003, Ergonomics.

[23]  Peter A. Hancock,et al.  Human Factors in Simulation and Training , 2008 .

[24]  Daniela Kuhnt,et al.  The Wolf Is Crying in the Operating Room: Patient Monitor and Anesthesia Workstation Alarming Patterns During Cardiac Surgery , 2011, Anesthesia and analgesia.