Achieving aviation safety through accident investigation: Human performance issues.

2001 ◽  
Vol 5 (2) ◽  
pp. 117-134
Author(s):  
Bartholomew Elias
Keyword(s):  
Human Performance ◽  
Aviation Safety ◽  
Accident Investigation ◽  
Performance Issues

Human Performance

2014 ◽  
pp. 267-273
Keyword(s):  
Assistive Technology ◽  
Human Performance ◽  
People With Disabilities ◽  
Critical Factor ◽  
Assistive Technologies ◽  
Working Environments ◽  
The Future ◽  
Performance Issues ◽  
The One ◽  
The Impact

This chapter looks into horizontal issues in ICT advances and discusses how the factor of human performance could help in increasing the impact of eAccessibility and assistive technologies in the future. More specifically, it revisits some of the ideas presented in earlier chapters looking at them from a different angle. The one of maximizing the audience and target group for assistive technologies through the increase in human performance, issues related with exoskeletons for working environments and dual use of assistive technology, sports as a motivator, aesthetics and fashion of prosthetics are discussed from this same perspective. Human performance could be a critical factor for the future of assistive technologies, and today's people with disabilities could become tomorrow's people with super-abilities and leaders in human performance issues.

Analysis and Estimation of Human Errors From Major Accident Investigation Reports

2019 ◽  
Vol 6 (1) ◽  
Author(s):  
Caroline Morais ◽  
Raphael Moura ◽  
Michael Beer ◽  
Edoardo Patelli
Keyword(s):  
Human Error ◽  
Human Performance ◽  
Accident Investigation ◽  
Human Reliability Analysis ◽  
Human Errors ◽  
Near Misses ◽  
Performance Shaping Factors ◽  
Major Accident ◽  
Using Data ◽  
Error Probabilities

Abstract Risk analyses require proper consideration and quantification of the interaction between humans, organization, and technology in high-hazard industries. Quantitative human reliability analysis approaches require the estimation of human error probabilities (HEPs), often obtained from human performance data on different tasks in specific contexts (also known as performance shaping factors (PSFs)). Data on human errors are often collected from simulated scenarios, near-misses report systems, and experts with operational knowledge. However, these techniques usually miss the realistic context where human errors occur. The present research proposes a realistic and innovative approach for estimating HEPs using data from major accident investigation reports. The approach is based on Bayesian Networks used to model the relationship between performance shaping factors and human errors. The proposed methodology allows minimizing the expert judgment of HEPs, by using a strategy that is able to accommodate the possibility of having no information to represent some conditional dependencies within some variables. Therefore, the approach increases the transparency about the uncertainties of the human error probability estimations. The approach also allows identifying the most influential performance shaping factors, supporting assessors to recommend improvements or extra controls in risk assessments. Formal verification and validation processes are also presented.

Sales Improvement Initiative Reveals Need for Performance Improvement Interventions

2020 ◽  
pp. 163-178
Author(s):  
Padmakshi Parkhe O'Neil
Keyword(s):  
Performance Improvement ◽  
Human Behavior ◽  
Human Performance ◽  
Holistic Approach ◽  
Sales Performance ◽  
Engineering Model ◽  
Human Performance Improvement ◽  
Behavior Engineering Model ◽  
Improvement Interventions ◽  
Performance Issues

This chapter posits the use of Thomas Gilbert's Behavior Engineering Model to improve human performance in the workplace. The author suggests that it is critical to apply a holistic approach when approaching any human performance improvement initiatives. Sales within an organization is a human performance issue and recurring sales performance problems should be addressed by delving to the root of the human performance issues at hand. It is critical to consider not just the repertoire of human behavior, but also examine the supporting environment, to ensure it provides the necessary impetus to improving performance.

scholarly journals Human Performance Models of Pilot Behavior

2005 ◽  
Vol 49 (12) ◽  
pp. 1109-1113 ◽  
Author(s):  
David C. Foyle ◽  
Becky L. Hooey ◽  
Michael D. Byrne ◽  
Kevin M. Corker ◽  
Stephen Deutsch ◽  
...  
Keyword(s):  
Human Performance ◽  
Performance Modeling ◽  
External Environment ◽  
Aviation Safety ◽  
Lessons Learned ◽  
Performance Models ◽  
Future Directions ◽  
Pilot Behavior ◽  
Specific Modeling

Five modeling teams from industry and academia were chosen by the NASA Aviation Safety and Security Program to develop human performance models (HPM) of pilots performing taxi operations and runway instrument approaches with and without advanced displays. One representative from each team will serve as a panelist to discuss their team's model architecture, augmentations and advancements to HPMs, and aviation-safety related lessons learned. Panelists will discuss how modeling results are influenced by a model's architecture and structure, the role of the external environment, specific modeling advances and future directions and challenges for human performance modeling in aviation.

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