HFE and Analysis

This module is about the scientific principles, models, and frameworks that are used to understand human behaviour and performance in the context of human-system interaction. 

These theories, models, and frameworks provide a way of understanding how people interact with technology, how human performance can be evaluated, and how systems can be designed to support human performance.

The practical application of scientific knowledge and approaches is crucial for the design and evaluation of human-system interaction. 

In the context of HFE, the scientific approach to analysis differs from using ‘common sense’ in several ways:

• Evidence-based: The scientific approach is based on systematic observation and experimentation, and the development of theories, models, and frameworks that are supported by evidence. In contrast, common sense relies on intuition, assumptions, and personal experience, which may not be based on evidence.
• Objectivity: The scientific approach allows for the objective evaluation of the system, through the use of systematic and unbiased methods. In contrast, common sense may be influenced by personal biases and may not provide an objective assessment of the system.
• Generalisability: The scientific approach allows for the development of theories, models, and frameworks that can be generalized to other systems, situations, and domains. In contrast, common sense solutions may be specific to a particular system or situation, and may not be applicable to other systems.
• Replicability: The scientific approach allows for the replication of experiments and studies, which helps to validate the findings and improve the confidence in the results. In contrast, common sense solutions may not be easily replicated or validated.
• Predicting and improving performance: The scientific approach allows for the measurement, prediction, and improvement of human performance, which helps to optimize the overall performance of the system. In contrast, common sense solutions may not provide the necessary tools and methods to measure, predict, or improve human performance.

In contrast, relying on intuition, assumptions or guesses can lead to solutions that are not based on sound scientific principles and may not be effective, efficient or safe.