Modeling the Complexities of Human Performance

Proceedings of the 29th conference on Winter simulation - WSC '97, 1997

2017

Aviation, Space and Environmental Medicine, 2004

FRIEDL KE, MALLIS MM, AHLERS ST, POPKIN SM, LARKIN W. Research requirements for operational decision-making using models of fatigue and performance. Aviat Space Environ Med 2004; 75(3, Suppl.):A192-9.

ANNALS OF THE ACADEMY OF ROMANIAN SCIENTISTS Series on ENGINEERING SCIENCES

In the last years, technology experienced an exponentially increase, but no matter how much the aviation manufacturers tried to automate the flight activity, events with major implication for flight safety continue to appear. In over 80% of the aviation accidents, the limited performance of the pilots, technicians and air traffic controllers played a major role. The purpose of this study was to analyse the factors which influence the human performance in all stages of flight, taking into consideration 4962 aviation events from 2000 to 2020, downloaded from Aviation Safety Reporting System (ASRS). Nowadays, the perspective of the 4th industrial revolution constrains us to insist on using big data for much more complex analyses and much more accurate results.

Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting, 2012

For military systems, environmental stressors (e.g. motion, temperature, noise) must be considered during decision making related to manpower requirements, workload determination, design tradeoffs, and mission effectiveness/sustainability early into and throughout the system acquisition process. Current human performance modeling techniques may have limited predictive utility and have not been fully validated against operational human in the loop (HIL) data. As a result, they may lack sufficient fidelity to support systems engineering needs to predict the individual and interactive effects that environmental stressors may have on human performance. The purpose of this paper is to describe an approach for developing performance shaping function (PSF) algorithms for environmental stressors that can be integrated into human performance modeling tools. These high fidelity plug-in algorithms are anticipated to provide an enhanced level of predictive validity when compared to current discrete event modeling tools. The algorithms will address environmentally induced limitations that are levied on human performance and enhance decision making in defense acquisition system design and cost versus performance tradeoffs.

Advances in human …, 2001

This chapter reviews the ability of the emerging human performance modeling technologies to support the design and operation of complex systems. The ability of existing technologies to meet current application needs is analyzed, and the results are then used to assess the areas where additional research and development is most needed. Following a brief history of human performance modeling, a taxonomy of models and modeling techniques is established, as a framework for remaining discussion. The human performance modeling technology base is separately analyzed for its ability to support system design processing and to support system operation. The system design process analysis considers the various roles that human performance models may play during that 201 process, ranging from generating design concepts to affording simulationbased design evaluation. The system operation analysis also assesses a range of roles, from training to performance support to automation. These analyses demonstrate that human modeling technology has reached a sufficient state of maturity and has become a proven contributor of the complex systems engineering process. Challenges for further high-payoff research are also presented in five categories: cognition, knowledge management, team and organizational structure and processes, predictive models of training, and human-centered systems engineering.

2016

In this paper, we introduce a new approach based on the definition and delimitation of the Human Performance Envelope (HPE) concept for cockpit operations and design. Instead of considering one or two single human factors, the HPE investigates a set of interdependent factors, working alone or in combination, leading to a performance decrement that could affect safety. The HPE approach is needed to improve the HMI design to develop innovative solutions and adaptive automations, which can provide effective recovery measures, if the human performance is compromised.

RECENT - REzultatele CErcetărilor Noastre Tehnice

Nowadays, the international aviation organizations are focused on safety improvements, using automation systems and applying ergonomic concepts. One of these concepts is Human Performance Envelope, which is used for pilot's performance determination, based on a set of ergonomic factors. The aim of the paper is to give a clear definition of this concept and to establish what the directions for future studies are. For this reason, was done a literature review of what has been done. It was revealed that workload, stress, situation awareness and attention are the most studied factors, while fatigue, vigilance, teamwork, trust and communication are the least studied. Moreover, all the experiments were done on one member of the crew, so the concept was applied on one person, while in reality the action of the team influences the upcoming events, so the concept should be extended on the team. Also, the proposed solutions regard the cockpit improvement using automation systems, thus none of them concerns the psychosocial aspects. So, the concept of Human Performance Envelope offers great possibilities for future ergonomic studies in aviation.

Proceedings of the 31st conference on Winter simulation Simulation---a bridge to the future - WSC '99, 1999

System performance is often determined by the performance of the humans in the system. Yet, system models often leave out any significant representation of the humans that are operating and maintaining them. Recently, tools and methods for modeling the human in systems have begun to receive widespread attention. These tools and methods are consistent with other types of models and simulations that are used to model other system components. In this paper, the basic approaches to modeling human performance are discussed along with a brief case study.

Journal of Physics: Conference Series

The relentless march of technology is increasingly opening new possibilities for the application of automation and new horizons for human machine interaction. However there is insufficient scientific evidence on human factors for modern socio-technical systems supporting the guidelines currently used to design Human Machine Interfaces (HMI) (ISA 2014). This dearth of knowledge presents a particular risk in safety critical industries. The continuing 60-90% of accidents currently that are rooted in Human Factors (HF) and the rapid developments in the Internet of Things (IoT) and its novel automation archetypes means that the requirements for new interfaces are becoming more demanding, and creating new failure modes. To address this gap it is necessary to face the issue of modelling the human factor element and be ready to incorporate that knowledge into the design of adaptive automation.