Speed kills? Reassessing the role of speed, precision, and situation awareness in the Fall of Saddam

2007 ◽  
Vol 30 (1) ◽  
pp. 3-46 ◽  
Author(s):  
Stephen Biddle
Keyword(s):  
2003 ◽  
Author(s):  
Nathan R. Bailey ◽  
Mark W. Scerbo ◽  
Frederick G. Freeman ◽  
Peter J. Mikulka ◽  
Lorissa A. Scott

Author(s):  
Michael D. Matthews ◽  
Silas G. Martinez ◽  
Jarle Eid ◽  
Bjorn Helge Johnsen ◽  
Ole Christian Boe

The Situation Awareness Behavioral Rating Scale (SABARS) utilizes ratings by expert observer/controllers (O/Cs) to evaluate situation awareness (SA) of infantry small unit leaders. Previous research (Matthews et al., 2004) showed SABARS to be predictive of a variety of performance measures. The current study explored the question of whether small unit leaders could use SABARS to accurately rate their own behavior as an index of their SA. To evaluate this question, 12 Norwegian Army and Navy Academy cadets participating in the role of squad leader during summer training exercises were given the SABARS to complete following an infantry mission. An experienced officer O/C observed the cadets though the execution of the mission and also provided SABARS ratings on the squad leader. Results indicated that “self-SABARS” evaluations did not correlate with SABARS completed by O/C's, and were not predictive of performance criteria. O/C-completed SABARS were, however, predictive of performance criteria thus replicating findings reported previously (Matthews et al., 2004). Implications for assessing SA in the field are discussed.


2010 ◽  
Vol 106 (1) ◽  
pp. 105-118 ◽  
Author(s):  
Abdrabo Moghazy Soliman

Despite its significance, the central executive is the least explored component of working memory, particularly in complicated contexts. Exp. 1 investigated the role of executive control of working memory in situation awareness in a real-life driving simulation. Exp. 2 examined the extent to which taxing the central executive might affect situation awareness. High, Medium, and Low Situation Awareness groups were formed as assessed using the Situation Awareness Global Assessment Technique. Executive function was measured using several tests. Results from Exp. 1 demonstrated that the Low Situation Awareness group performed significantly worse on all executive function tasks compared to High and Medium Situation Awareness groups. Findings from Exp. 2 suggested that concurrent load on the central executive dramatically affected the Low Situation Awareness group but not the High Situation Awareness group: the former had significantly more driving violations under central executive load.


2010 ◽  
Vol 11 (1-2) ◽  
pp. 84-98 ◽  
Author(s):  
David Golightly ◽  
John R. Wilson ◽  
Emma Lowe ◽  
Sarah Sharples

Author(s):  
Nathan R. Bailey ◽  
Mark W. Scerbo ◽  
Frederick G. Freeman ◽  
Peter J. Mikulka ◽  
Lorissa A. Scott

2017 ◽  
Vol 19 (2) ◽  
pp. 168-185 ◽  
Author(s):  
Neetima Agarwal ◽  
Sumedha Chauhan ◽  
Arpan Kumar Kar ◽  
Sandeep Goyal

Purpose Mobile crowd sensing (MCS) is a new paradigm enabled by Internet of Things (IoT) in which sensor-rich ubiquitous devices collect and share the data over a large geography. Human behaviour attributes (perception, comprehension and projection) play a key role in the decision-making process for sharing and processing the data. This study aims to understand how situation awareness plays an important role in MCS in an IoT ecosystem. Design/methodology/approach A systematic literature review was conducted by following a rigorous search protocol that identified a total of 470 peer-reviewed research papers. These papers were further filtered and finally 31 relevant papers were selected. Findings The major issues and concerns arising due to human participation in the MCS system were identified. Further, probable strategies were explored to deal with the challenges resulting due to certain human behaviour attributes. Practical implications This study provides the recommendations to address the major challenges related to the MCS system, which in turn may enhance the adoption of emerging smart technology-driven services. Originality/value The study is original and is based on the existing literature and its interpretation.


Author(s):  
Jacques V. Hugo ◽  
David I. Gertman

Advanced small modular reactors (AdvSMRs) will use advanced digital instrumentation and control systems, and make greater use of automation. These advances not only pose technical and operational challenges, but will inevitably have an effect on the operating and maintenance cost of new plants. However, there is much uncertainty about the impact of AdvSMR designs on operational and human factors considerations, such as workload, situation awareness, human reliability, staffing levels, and the appropriate allocation of functions between the crew and various automated plant systems. Existing human factors and systems engineering design standards and methodologies are not current in terms of human interaction requirements for dynamic automated systems and are no longer suitable for the analysis of evolving operational concepts. New models and guidance for operational concepts for complex socio-technical systems need to adopt a state-of-the-art approach such as Cognitive Systems Engineering (CSE) that gives due consideration to the role of personnel. The approach described here helps to identify and evaluate human challenges related to non-traditional operational concepts. A framework for defining operational strategies was developed based on an analysis of the Experimental Breeder Reactor-II (EBR-II), a small (20MWe) sodium-cooled reactor that was successfully operated for thirty years. Insights from the application of the systematic application of the methodology and its utility are reviewed and arguments for the formal adoption of CSE as a value-added part of the Systems Engineering process are presented.


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