Semester 1, 2023 Toowoomba On-campus | |
Units : | 1 |
School or Department : | School of Business |
Grading basis : | Graded |
Course fee schedule : | /current-students/administration/fees/fee-schedules |
Staffing
Course Coordinator:
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. In small teams, you will 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:
- recall the history of human factors with an emphasis on human factors initiatives in the aviation industry over the last 40 years;
- evaluate the applied interaction between humans across the aviation system using Edward's (1972) SHELL model as a basis;
- work effectively in a small team to examine the relationship between human factors, non-technical skill-sets, and crew resource management strategies in aviation and other high-risk industries;
- apply the principal concepts associated with major human factors areas, including information processing, situational awareness, to solve safety related impacts;
- explain the systems in use for managing fatigue in aviation including FRMS and prescriptive hours of work;
- 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 C-SHELL model and its applicability to aviation | 20.00 |
3. | Sleep and fatigue mitigating strategies in Aviation | 30.00 |
4. | Stress and its management in Aviation | 10.00 |
5. | Crew Resource Management (CRM) and Threat and Error Management | 10.00 |
6. | Human factors, ergonomics and Automation in workplace | 10.00 |
7. | Human factors concepts and initiatives in Aviation and other high risk industries | 10.00 |
Text and materials required to be purchased or accessed
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 | Group Assessment |
Weighting (%) | Course learning outcomes |
---|---|---|---|
Quiz | No | 10 | 1,2 |
Report | Yes | 40 | 3 |
Time limited online examinatn | No | 50 | 1,2,4,5,6 |