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AVN3101 Advanced Human Factors in Aviation

Semester 1, 2022 Toowoomba On-campus
Units : 1
Faculty or Section : Faculty of Business, Education, Law and Arts
School or Department : School of Business
Grading basis : Graded
Course fee schedule : /current-students/administration/fees/fee-schedules

Staffing

Examiner: Paul Lee

Requisites

Pre-requisite: AVN1104

Overview

Human factors is a domain where human performance is studied with respect to its environs, including the relationship with other agents in the system, procedures they use, and the human-machine interface that predominates socio-technical systems. Within the aviation industry, human error and ineffective human performance are acknowledged as causal in the vast majority of aircraft accidents. Given the complexity of the aviation system, and the inherent risk involved, a study of the complex interactions that occur is warranted at an advanced level. This course investigates further subject matter that was introduced in AVN1104 (Introduction to Human Performance in Aviation).

The course will examine the basic facets of human-machine interaction within the complex and dynamic environment of aviation operations. It will also study the interaction between humans within the system, both intra-aircraft, inter-aircraft, and between aircraft and other agencies within the aviation system. Additionally, the regulations, policies and procedures which govern the norms of the industry will be examined from a human-centric perspective. The course will further examine individual facets of human performance and will focus on the effects of fatigue, with mitigating interventions used in the aviation industry. The course will also examine the effects of breakdowns in human factors, specific initiatives used in aviation for human performance improvement, and the application of ergonomics and human factors within aircraft design. Outside of the aviation environment, comparisons will be made with other industries in order to gauge the level and success of intervention in human performance, across a diverse range of applications. Finally, future initiatives will be explored with regard to improvements in human performance.

Course learning outcomes

On successful completion of this course students should be able to:

  1. outline the history of human factors with an emphasis on human factors initiatives in the aviation industry over the last 40 years;
  2. evaluate the applied interaction between humans across the aviation system using Edward's (1972) SHELL model as a basis;
  3. examine the relationship between human factors, non-technical skill-sets, and crew resource management strategies in aviation and other high-risk industries;
  4. make use of the principal concepts associated with major human factors areas, including information processing, situational awareness, communication, decision making, workload management, stress, fatigue and cultural awareness;
  5. outline the systems in use for managing fatigue in aviation including FRMS and prescriptive hours of work;
  6. explain the principal concepts of the human-machine interface and the effects of human factors and ergonomics on aircraft technology and automation.

Topics

Description Weighting(%)
1. The history of human factors in aviation and other industries 10.00
2. The effects of breakdowns in human performance in aviation, by case study 10.00
3. The SHELL model and its applicability to aviation 5.00
4. The human factors regulatory environment in aviation 10.00
5. The relationship between CRM, non-technical skills and human factors 10.00
6. The effects of fatigue and fatigue mitigating strategies within aviation 10.00
7. Human factors and ergonomics in workplace design 10.00
8. Automation human factors and flight deck design 10.00
9. Human-centric approaches to policy, procedures and regulations 10.00
10. Human factors concepts in air traffic control and other high risk industries 10.00
11. Human factors initiatives for improving human performance in the future 5.00

Text and materials required to be purchased or accessed

There are no texts or materials required for this course.

Student workload expectations

To do well in this subject, students are expected to commit approximately 10 hours per week including class contact hours, independent study, and all assessment tasks. If you are undertaking additional activities, which may include placements and residential schools, the weekly workload hours may vary.

Assessment details

Description Weighting (%)
ASSIGNMENT 1 25
ASSIGNMENT 2 25
ONLINE EXAMINATION 50
Date printed 10 February 2023