Model-Based Analysis of Human Errors during Aircraft Cockpit System Design

Objective

The objective of the HUMAN project is to develop a methodology with techniques and prototypical tools supporting the prediction of human errors in ways that are usable and practical for human-centred design of systems operating in complex cockpit environments. The methodology contributes to (1) reducing the accident rate by enhancing the accuracy of pilot error prediction and to (2) achieving a substantial improvement in the elimination of and recovery from human error by reducing the effort of design and test for active and passive safety measures. These targets will be achieved through research and technology development in: (1) Cognitive modelling: the challenge is to develop an integrated cognitive crew model able to predict a significant range of design relevant pilot behaviours (including errors) covering human-machine interaction and crew performance in the complex dynamic environments. (2) Virtual simulation: the challenge is to develop a high-fidelity virtual simulation platform to execute the cognitive crew model in realistic flight scenarios in order to analyse the dependencies (including the safety effect of likely pilot errors) between the pilots, a target system, the aircraft and its environment. (3) Knowledge base on human performance: the challenge is to thoroughly investigate pilot behaviour on a physical simulation platform (comprising a full-scale flight simulator) to enhance the understanding of cognitive processes leading to pilot errors and to use the resulting knowledge to validate and further develop the cognitive crew model. The human errors will be studied in relation to a target system that will be based on issues pertaining to the future Air Traffic Management context. This will permit to study pilots' future activities and potential errors and to provide useful information to drive the development of active and passive safety measures for this domain.

Fields of science (EuroSciVoc)

CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.

• engineering and technology mechanical engineering vehicle engineering aerospace engineering aircraft
• social sciences social geography transport transport planning air traffic management
• social sciences psychology cognitive psychology

Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

• analysis of human errors
• behaviour modelling
• human centered design
• human factors
• human-machine interaction
• safety

Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

• FP7-TRANSPORT - Specific Programme "Cooperation": Transport (including Aeronautics)

Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

• AAT-2007-3.3-04 - Human Factors

Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

FP7-AAT-2007-RTD-1
See other projects for this call

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

CP-FP - Small or medium-scale focused research project

Coordinator

Participants (5)