Human Factors in Future Vertical Lift, the U.S. Army’s Next Generation Rotorcraft

The United States Army is developing and procuring their next generation of rotorcraft, called the Future Vertical Lift (FVL) program. FVL rotorcraft will fly faster and incorporate new work requirements such as command of unmanned systems and optionally piloted variants. Successful design and implementation of human automation teaming will be paramount to the mission success and safety of FVL systems, presenting both challenges and opportunities for human factors personnel supporting FVL development. The purpose of this panel is to highlight the range of human factors challenges within the FVL program. Panelists are drawn from both government and industry, and represent a diverse set of perspectives including user, researcher, and practitioner. The session will include time for panelists to introduce their work and challenges that they are addressing within the FVL program as well as interact with audience members.

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The Application of Human Factors to the Development of Expert Systems for Advanced Cockpits

Proceedings of the Human Factors Society Annual Meeting ◽

10.1177/154193128703101219 ◽

1987 ◽

Vol 31 (12) ◽

pp. 1388-1392 ◽

Cited By ~ 64

Author(s):

Mica R. Endsley

Keyword(s):

Human Factors ◽

Expert Systems ◽

Situational Awareness ◽

Expert Knowledge ◽

Systems Development ◽

System Evaluation ◽

Design And Implementation ◽

Successful Design ◽

Role Allocation ◽

Selection Of

Expert system applications must be carefully selected, designed and integrated into the cockpit based on a full understanding of the pilot's tasks, requirements, and capabilities. In this paper, expert systems development issues in the following areas are identified and addressed utilizing processes, methodologies and knowledge from the human factors field: the selection of systems to automate, the elicitation of expert knowledge from pilots, role allocation between the pilot and the system, system design issues, and system evaluation. Considerations of pilot workload, situational awareness, performance and pilot acceptance are considered key to the successful design and implementation of expert systems which will truly enhance the pilot in the performance of his tasks.

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Challenges and Opportunities in Developing Next Generation In-Vehicle HMI Systems

Proceedings of the Human Factors and Ergonomics Society Annual Meeting ◽

10.1177/1071181319631516 ◽

2019 ◽

Vol 63 (1) ◽

pp. 2115-2116

Author(s):

Rebecca Williamson ◽

Yu Zhang ◽

Bruce Mehler ◽

Ying Wang

Keyword(s):

Artificial Intelligence ◽

Human Factors ◽

Market Share ◽

User Behavior ◽

Autonomous Driving ◽

Human Machine Interface ◽

Next Generation ◽

Challenges And Opportunities ◽

Machine Interface ◽

User Friendly

The next generation of automotive human machine interface (HMI) systems is expected to be heavily dependent upon artificial intelligence; from autonomous driving to speech assistance, from gesture & touch-enabled interfaces to web & mobile integration. Smooth, safe, and user-friendly interaction between the driver and the vehicle is a key to winning market share. This panel aims to discuss challenges and opportunities for the next generation of automotive HMI from the perspective of human factors and user behavior. Panelists from industry and academia will offer their unique perspectives on the concerns and opportunities in developing future in-vehicle HMIs.

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Accident Research at the United States Army Agency for Aviation Safety: An Overview

Proceedings of the Human Factors Society Annual Meeting ◽

10.1177/154193127602001702 ◽

1976 ◽

Vol 20 (17) ◽

pp. 395-399

Author(s):

William C. McDaniel

Keyword(s):

United States ◽

Human Factors ◽

United States Army ◽

Human Error ◽

The United States ◽

Aviation Safety ◽

Model Concept ◽

Accident Research ◽

Engineering Changes ◽

Human Factors Research

The United States Army Agency for Aviation Safety determines ways and means to conserve aviation resources of the United States Army. An important function of the Agency is to conduct an active accident research program. This paper overviews some of the accident research techniques, methodology, and application of results that have been used. This includes accident research in hardware and selected engineering changes, human factors research in accidents, a pilot error model, concept of human error as a “behavioral anomaly” and multivariate statistical techniques used in accident research. A challenge is issued to accident researchers and other areas of human factors research to align their efforts in reducing accidents.

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A Value Model Approach to Reduce PM Cargo’s Costs for the CH-47F Chinook Helicopter

Industrial and Systems Engineering Review ◽

10.37266/iser.2019v7i1.pp16-23 ◽

2019 ◽

Vol 7 (1) ◽

pp. 16-23

Author(s):

Heidy Shi ◽

Carlos Garcia ◽

Jack Kesti ◽

Christopher Lee ◽

David Hughes

Keyword(s):

United States ◽

United States Army ◽

Flight Control ◽

The United States ◽

A Value ◽

Mission Success ◽

Glass Cockpit ◽

Technological Improvements ◽

Value Model ◽

Model Approach

The CH-47F is a multifaceted system incorporating a series of technological improvements that aim to improve flight crews’ performance. The new Chinook model marks a transition away from platforms with steam gauge based cockpits, federated mission systems equipment, and analog flight control augmentation systems. The aircraft has a highly integrated glass cockpit and digital flight control augmentation system reducing the crew’s workload and improving other capabilities, such as auto-hovering. This allows pilots to focus on aspects essential for mission success while operating in challenging environments. PM Cargo is responsible for maintaining the CH-47F to meet these demands, however, this has significant financial challenges to consider. PM Cargo asked us to produce courses of action that will reduce costs while also adding value to the CH-47F program. This will ensure the CH-47F, through PM Cargo’s stewardship, remains a staple of the United States Army into the future.

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