Computational Human Performance Modeling For Alarm System Design

The introduction of new technologies like adaptive automation systems and advanced alarms processing and presentation techniques in nuclear power plants is already having an impact on the safety and effectiveness of plant operations and also the role of the control room operator. This impact is expected to escalate dramatically as more and more nuclear power utilities embark on upgrade projects in order to extend the lifetime of their plants. One of the most visible impacts in control rooms will be the need to replace aging alarm systems. Because most of these alarm systems use obsolete technologies, the methods, techniques and tools that were used to design the previous generation of alarm system designs are no longer effective and need to be updated. The same applies to the need to analyze and redefine operators’ alarm handling tasks. In the past, methods for analyzing human tasks and workload have relied on crude, paper-based methods that often lacked traceability. New approaches are needed to allow analysts to model and represent the new concepts of alarm operation and human-system interaction. State-of-the-art task simulation tools are now available that offer a cost-effective and efficient method for examining the effect of operator performance in different conditionsmore » and operational scenarios. A discrete event simulation system was used by human factors researchers at the Idaho National Laboratory to develop a generic alarm handling model to examine the effect of operator performance with simulated modern alarm system. It allowed analysts to evaluate alarm generation patterns as well as critical task times and human workload predicted by the system.« less

[1]  J. Noyes,et al.  Alarm systems: a guide to design, management and procurement , 1999 .

[2]  Jacques Hugo,et al.  A Multi-Methods Approach to HRA and Human Performance Modeling: A Field Assessment , 2012 .

[3]  K. Ronald Laughery,et al.  The integrated performance modeling environment—simulating human-system performance , 1997, WSC '97.

[4]  Anand K. Gramopadhye,et al.  A MODEL FOR PREDICTING HUMAN TRUST IN AUTOMATED SYSTEMS , 2003 .

[5]  Tim Baines,et al.  Human performance modelling as an aid in the process of manufacturing system design: A pilot study , 2002 .

[6]  K. Ronald Laughery,et al.  Computer Modeling of Human Performance on Microcomputers , 1984 .

[7]  J H McCracken,et al.  Analyses of Selected LHX Mission Functions: Implications for Operator Workload and System Automation Goals , 1984 .

[8]  Christian Lebiere,et al.  Modeling Human Performance in Complex Systems , 2012 .

[9]  Dal Vernon C. Reising,et al.  Human Performance Models for Response to Alarm Notifications in the Process Industries: An Industrial Case Study , 2004 .

[10]  Allen Newell,et al.  The psychology of human-computer interaction , 1983 .

[11]  John M. O'Hara,et al.  Advanced Alarm Systems: Revision of Guidance and Its Technical Basis , 2000 .

[12]  Jacques Hugo,et al.  The Use of Computational Human Performance Modeling as Task Analysis Tool , 2012 .

[13]  Joerg C. G. Wellbrink Modeling reduced human performance as a complex adaptive system , 2003 .

[14]  Anna Fowles-Winkler MODELLING WITH THE INTEGRATED PERFORMANCE MODELLING ENVIRONMENT ( IPME ) , 2003 .

[15]  Chun-Hung Chen,et al.  PROCEEDINGS OF THE 2002 WINTER SIMULATION CONFERENCE , 2002 .

[16]  C D Wickens,et al.  Role of multiple resources in predicting time-sharing efficiency: evaluation of three workload models in a multiple-task setting. , 1995, The International journal of aviation psychology.

[17]  John Keller,et al.  Human performance modeling for discrete-event simulation: workload , 2002, Proceedings of the Winter Simulation Conference.