Sensemaking following surprise in the cockpit—a re-framing problem

Re-framing is the process by which a person “fills the gap” between what is expected and what has been observed, that is, to try and make sense of what is going on following a surprise. It is an active and adaptive process guided by expectations, which are based on knowledge and experience. In this article, surprise situations in cockpit operations are examined by investigating the re-framing process. The results show difficulties that pilots have in re-framing following surprise, including the identification of subtle cues and managing uncertainties regarding automated systems, coping with multiple goals, tasks and narrow time frames and identifying an appropriate action. A crew-aircraft sensemaking model is presented, outlining core concepts of re-framing processes and sensemaking activities. Based on the findings, three critical areas are identified that deserve further attention to improve pilot abilities to cope with unexpected events; (1) identification of what enables and obstructs re-framing, (2) training to build frames and develop re-framing strategies and (3) control strategies as part of the re-framing process.

[1]  P. Feltovich,et al.  Issues of expert flexibility in contexts characterized by complexity and change , 1997 .

[2]  Lorenzo Magnani,et al.  Model-Based Reasoning in Scientific Discovery , 1999, Springer US.

[3]  Emily S. Patterson,et al.  How Unexpected Events Produce An Escalation Of Cognitive And Coordinative Demands , 2001 .

[4]  Sidney Dekker,et al.  Training organizational resilience in escalating situations , 2010 .

[5]  Jennifer K. Phillips,et al.  A Data–Frame Theory of Sensemaking , 2007 .

[6]  Roberta Caldenvood Decision Models: Some Lessons From the Field , 1991 .

[7]  N B Sarter,et al.  LEARNING FROM AUTOMATION SURPRISES AND "GOING SOUR" ACCIDENTS. IN: COGNITIVE ENGINEERING IN THE AVIATION DOMAIN , 2000 .

[8]  Charles E. Billings,et al.  Aviation Automation: The Search for A Human-centered Approach , 1996 .

[9]  N. Sarter,et al.  Capturing the dynamics of attention control from individual to distributed systems: the shape of models to come , 2010 .

[10]  Kevin Dunbar,et al.  How Scientists Build Models In Vivo Science as a Window on the Scientific Mind , 1999 .

[11]  Patrick Stuart Murray Evidence Based Training , 2010 .

[12]  Mica R. Endsley,et al.  Expertise and Situation Awareness , 2006 .

[13]  K. Weick FROM SENSEMAKING IN ORGANIZATIONS , 2021, The New Economic Sociology.

[14]  Gary Klein,et al.  Naturalistic Decision Making , 2008, Hum. Factors.

[15]  Sidney Dekker,et al.  CREW RESILIENCE AND SIMULATOR TRAINING IN AVIATION , 2008 .

[16]  Sidney Dekker,et al.  From Threat and Error Management (TEM) to Resilience , 2006 .

[17]  Sidney Dekker,et al.  Exploring the Use of Categories in the Assessment of Airline Pilots’ Performance as a Potential Source of Examiners’ Disagreement , 2014 .

[18]  Michael D. McNeese,et al.  A History for Macrocognition , 2009 .

[19]  Michael Varney Evidence Based Training , 2012 .

[20]  Roberta Calderwood,et al.  Critical decision method for eliciting knowledge , 1989, IEEE Trans. Syst. Man Cybern..

[21]  Tom Kontogiannis,et al.  A sensemaking perspective on framing the mental picture of air traffic controllers. , 2013, Applied ergonomics.

[22]  Joris Field,et al.  “Staying ahead of the aircraft ” and Managing Surprise in Modern Airliners , 2013 .

[23]  Gary Klein,et al.  Anticipatory Thinking , 2008 .

[24]  Gavriel Salvendy,et al.  Handbook of Human Factors and Ergonomics , 2005 .

[25]  David Woods,et al.  Basic Patterns in How Adaptive Systems Fail , 2017 .

[26]  Gary Klein,et al.  Making Sense of Sensemaking 1: Alternative Perspectives , 2006, IEEE Intelligent Systems.

[27]  Robert Milne,et al.  Local Efforts with Global Impact: Europe's Thriving AI Communities , 2003, IEEE Intell. Syst..

[28]  Jeffrey M. Bradshaw,et al.  Ten Challenges for Making Automation a "Team Player" in Joint Human-Agent Activity , 2004, IEEE Intell. Syst..

[29]  Robert R. Hoffman,et al.  Studying Cognitive Systems in Context: Preface to the Special Section , 2000, Hum. Factors.

[30]  David Woods,et al.  How Anomaly Response is Distributed Across Functionally Distinct Teams in Space Shuttle Mission Control , 2007 .

[31]  K. Weick,et al.  Organizing and the Process of Sensemaking , 2005 .

[32]  Rogier Woltjer,et al.  Resilience in Everyday Operations , 2013, Journal of Cognitive Engineering and Decision Making.

[33]  D. D. Woods,et al.  Fixation Errors: Failures to Revise Situation Assessment in Dynamic and Risky Systems , 1990 .

[34]  Erik Hollnagel,et al.  Joint Cognitive Systems: Foundations of Cognitive Systems Engineering , 2005 .

[35]  Gary Klein,et al.  Can We Trust Best Practices? Six Cognitive Challenges of Evidence-Based Approaches , 2016 .

[36]  A. J. P. Martin,et al.  The problem of detection , 1973 .

[37]  David D. Woods,et al.  Discovering the events expert practitioners extract from dynamic data streams: the modified unit marking technique , 2007, Cognition, Technology & Work.

[38]  Erik Hollnagel,et al.  Joint Cognitive Systems: Patterns in Cognitive Systems Engineering , 2006 .

[39]  D. Woods,et al.  Automation Surprises , 2001 .

[40]  Stephen M. Casner,et al.  The Effectiveness of Airline Pilot Training for Abnormal Events , 2013, Hum. Factors.

[41]  M. Mulder,et al.  Experimental Investigation of Flight Crew Strategies in Handling Unexpected Events , 2015 .

[42]  Paul J. Feltovich,et al.  Keeping It Too Simple: How the Reductive Tendency Affects Cognitive Engineering , 2004, IEEE Intell. Syst..

[43]  Sterling Wiggins,et al.  Team sensemaking , 2010 .

[44]  Erik Hollnagel,et al.  Cognitive Systems Engineering: New wine in new bottles , 1999, Int. J. Hum. Comput. Stud..

[45]  Ute Fischer,et al.  Informed by knowledge : expert performance in complex situations , 2011 .

[46]  J. C. Flanagan Psychological Bulletin THE CRITICAL INCIDENT TECHNIQUE , 2022 .

[47]  M. Wise The Multitasking Myth: Handling Complexity in Real-World Operations , 2012 .