Human Error and Performance Variability

2014 ◽  
pp. 172-197
2020 ◽  
Vol 10 (2) ◽  
pp. 103-111
Author(s):  
Andrey K. Babin ◽  
Andrew R. Dattel ◽  
Margaret F. Klemm

Abstract. Twin-engine propeller aircraft accidents occur due to mechanical reasons as well as human error, such as misidentifying a failed engine. This paper proposes a visual indicator as an alternative method to the dead leg–dead engine procedure to identify a failed engine. In total, 50 pilots without a multi-engine rating were randomly assigned to a traditional (dead leg–dead engine) or an alternative (visual indicator) group. Participants performed three takeoffs in a flight simulator with a simulated engine failure after rotation. Participants in the alternative group identified the failed engine faster than the traditional group. A visual indicator may improve pilot accuracy and performance during engine-out emergencies and is recommended as a possible alternative for twin-engine propeller aircraft.


Safety ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. 3
Author(s):  
Niklas Grabbe ◽  
Alain Gales ◽  
Michael Höcher ◽  
Klaus Bengler

Automated driving promises great possibilities in traffic safety advancement, frequently assuming that human error is the main cause of accidents, and promising a significant decrease in road accidents through automation. However, this assumption is too simplistic and does not consider potential side effects and adaptations in the socio-technical system that traffic represents. Thus, a differentiated analysis, including the understanding of road system mechanisms regarding accident development and accident avoidance, is required to avoid adverse automation surprises, which is currently lacking. This paper, therefore, argues in favour of Resilience Engineering using the functional resonance analysis method (FRAM) to reveal these mechanisms in an overtaking scenario on a rural road to compare the contributions between the human driver and potential automation, in order to derive system design recommendations. Finally, this serves to demonstrate how FRAM can be used for a systemic function allocation for the driving task between humans and automation. Thus, an in-depth FRAM model was developed for both agents based on document knowledge elicitation and observations and interviews in a driving simulator, which was validated by a focus group with peers. Further, the performance variabilities were identified by structured interviews with human drivers as well as automation experts and observations in the driving simulator. Then, the aggregation and propagation of variability were analysed focusing on the interaction and complexity in the system by a semi-quantitative approach combined with a Space-Time/Agency framework. Finally, design recommendations for managing performance variability were proposed in order to enhance system safety. The outcomes show that the current automation strategy should focus on adaptive automation based on a human-automation collaboration, rather than full automation. In conclusion, the FRAM analysis supports decision-makers in enhancing safety enriched by the identification of non-linear and complex risks.


2017 ◽  
Author(s):  
Kazutomo Yoshii ◽  
Pablo Llopis ◽  
Kaicheng Zhang ◽  
Yingyi Luo ◽  
Seda Ogrenci-Memik ◽  
...  

2018 ◽  
Vol 34 (1) ◽  
pp. 53-64 ◽  
Author(s):  
David Simbaña Escobar ◽  
Philippe Hellard ◽  
David B. Pyne ◽  
Ludovic Seifert

To study the variability in stroking parameters between and within laps and individuals during competitions, we compared and modeled the changes of speed, stroke rate, and stroke length in 32 top-level male and female swimmers over 4 laps (L1–L4) in 200-m freestyle events using video-derived 2-dimensional direct linear transformation. For the whole group, speed was greater in L1, with significant decreases across L2, L3, and L4 (1.80 ± 0.10 vs 1.73 ± 0.08; 1.69 ± 0.09; 1.66 ± 0.09  · s−1,P < .05). This variability was attributed to a decrease in stroke length (L2: 2.43 ± 0.19 vs L4: 2.20 ± 0.13 m,P < .05) and an increase in stroke rate (L2: 42.8 ± 2.6 vs L4: 45.4 ± 2.3 stroke · min−1,P < .05). The coefficient of variation and the biological coefficient of variation in speed were greater for male versus female (3.9 ± 0.7 vs 3.1 ± 0.7; 2.9 ± 1.0 vs 2.6 ± 0.7,P < .05) and higher in L1 versus L2 (3.9 ± 1.3 vs 3.1 ± 0.1; 2.9 ± 0.9 vs 2.3 ± 0.7,P < .05). Intra-lap speed values were best represented by a cubic (n = 38), then linear (n = 37) and quadratic model (n = 8). The cubic fit was more frequent for males (43.8%) than females (15.6%), suggesting greater capacity to generate higher acceleration after the turn. The various stroking parameters managements within lap suggest that each swimmer adapts his/her behavior to the race constraints.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Federica Viapiana

PurposeThe purpose of this paper is to compare the different performance-based budgeting models used in the judiciaries of three European countries: Italy, Finland and the Netherlands. In particular, this paper focusses on the criteria adopted by these three countries to fund the courts, and it analyses the effects of these criteria on the distribution of resources and performance variability among first instance courts.Design/methodology/approachThis exploratory research is based on a literature review and data analysis of three case studies. Equity in resource distribution and equality in courts' performance are assessed using the coefficient of variation.FindingsThe preliminary findings suggest the following: (1) funding models with a close link between performance and budget better guarantee equitable allocation of resources among courts and, therefore, more equal performance among courts within a country; (2) unbalanced allocation of resources is associated with disparities among courts in terms of judicial efficiency and effectiveness and consequently, unequal treatment of/outcomes for citizens coming before the law.Research limitations/implicationsThis paper is part of a broader research project aimed at analysing the impact of performance budgeting on the efficiency, quality, organization and values of judiciaries. This study only considers quantitative aspects of performance, but it will be followed by further analysis that will explore performance and judicial budgeting from other perspectives.Practical implicationsThis paper describes examples of three different models of performance-based judicial budgeting from other countries, which aim to reform the budgeting processes of the judiciaries in question. The paper emphasizes the importance of adopting rational and transparent funding criteria in order to ensure judicial independence and accountability and to balance courts' performance, guaranteeing the principle that every citizen must obtain the same treatment before the law.Originality/valueThis paper contributes to the existing performance-based budgeting literature by studying its application to the judiciary, which, due to its peculiarities, is an area that has been overlooked in previous studies and deserves further attention. This study contributes to the court administration literature by exploring the issue of budgeting, which, despite its importance, is still a neglected subject.


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