Memory
How many of those risk terms can you remember?
Understanding Human Limitations
Ge
tting Hazards Hazards from Risk Hazard & Risk Final
S
tarted Identification Human Error Analysis –Case Studies Thoughts
Prepare for your exams
Study with the several resources on Docsity
Earn points to download
Earn points by helping other students or get them with a premium plan
Guidelines and tips
Prepare for your exams
Study with the several resources on Docsity
Earn points to download
Earn points by helping other students or get them with a premium plan
Community
Ask the community
Ask the community for help and clear up your study doubts
University Rankings
Discover the best universities in your country according to Docsity users
Free resources
Our save-the-student-ebooks!
Download our free guides on studying techniques, anxiety management strategies, and thesis advice from Docsity tutors
Understanding Human Limitations in System Design: Preventing Hazards Caused by Human Error, Lecture notes of Workplace Safety
hazard and risk identification
Typology: Lecture notes
2021/2022
1 / 10
This page cannot be seen from the preview
Don't miss anything!
Related documents
Partial preview of the text
Download Understanding Human Limitations in System Design: Preventing Hazards Caused by Human Error and more Lecture notes Workplace Safety in PDF only on Docsity!
Memory
How many of those risk terms can you remember?
Understanding Human Limitations Started Identification Human Error Analysis – Case Studies Thoughts
Memory
On average, people can remember no more than 7 individual items at one time. If you were told these terms were grouped into three topics, it is likely your retention of this information would have been improved: Quantitative Analysis Bow-tie Layers of Protection Effect Modelling Probit Fixed Limit Risk Management Continual Improvement Stakeholders ALOHA Toxicity Learning Loop Understanding Human Limitations Started Identification Human Error Analysis – Case Studies Thoughts
Design Principles for a Good System
To prevent hazards caused by human error, it is essential that a
system inhibit people from making mistakes easily.
There are 6 design principles for creating a good system:
• User-centred Design
• Managing Information
• Reducing Complexity
• Visibility
• Constraining Behaviour
• Design for Errors
Started Identification Human Error Analysis – Case Studies Thoughts
Design Principles for a Good System
User-centred Design
o There is often a difference in how the user thinks about the system and the system itself. This discrepancy happens because the system designer rarely becomes the system user. o The design needs to think about the expectations and intentions of the user. Started Identification Human Error Analysis – Case Studies Thoughts
Design Principles for a Good System
Reducing Complexity
o The more complicated a task, the more likely there will be human error. o By structuring tasks to be as simple as possible, our ability to manage information is improved. o For example, this online module was organised into 6 sections that were placed in a logical sequence. This was done to reduce complexity of the material and facilitate the learning process. Started Identification Human Error Analysis – Case Studies Thoughts
Design Principles for a Good System
Constraining Behaviour
o If it were possible for a system to inhibit a user from performing any dangerous actions then there would be no accidents. This is impossible as the real world is too complicated! o ǮForcing functionsǯis a concept that is useful when trying to push users to follow a series of steps. An example of constrained behaviour is a cash machine.
- Before you can walk away with your cash, the machine prompts you with lights and a sound to first remove your cash card. This prevents the user from walking away without their card. Started Identification Human Error Analysis – Case Studies Thoughts
Design Principles for a Good System
Design for Errors
Before permanently deleting files from your computer, you are
prompted asking if you are sure you want proceed.
Started Identification Human Error Analysis – Case Studies Thoughts