different data scales
Ordinal Data Scale –> deals with the order or position of items, difference between each one is unknown, measures of non-numeric concepts, qualitative data
Nominal Data Scale –> “by name”, used in classification or division of objects into groups, doesn’t provide measurements, qualitative data
Interval Data Scale –> data organized into divisions or intervals of equal size, there is no zero, quantitative data (e.g. thermometer)
Ratio Data Scale –> allows to compare differences between numbers, no negative numbers, quantitative data (e.g. weight scales)
Biomechanics
= the research and analysis of how the human body works (operation of our tendons, muscles, joints, etc.)
- measures the amount of force put on our muscles and joints when working in different positions
Factors affecting muscle strength: gender, age, physical disability
4 key criteria for biomechanics
Force –> can cause muscle tenseness
Repetition –> can lead to musculoskeletal disorder
Duration –> continuous muscular effort
Posture –> can lead to discomfort and loss of attention
percentiles and percentile ranges
percentile => used to show whether the measurements given relates to the “average” person or someone who is above or below average
aims of human factors
egonomics
application of scientific info concerning the relationship of human and the design
physical ergonomics
cognitive ergonomics
= mental processes
- perception
- memory
- reasoning
- motor response
–> these affect interactions between humans and other elements of the system
organizational ergonomics
anthropometric data
measurements relative to design regarding the size and shape of the human body (quantitative measurements)
static and dynamic data
static/structural data = measurements taken of the human body while in a fixed or non-active position –> much easier to gather
dynamic/functional data = measurements of the human body taken during physical activities –> measuring how our bodies work and move (flexibility, muscle strength, reaction times, grip strength, range of motion) –> harder to gather but more useful data
tools to collect anthropometric data
human factors definition
the combination of egonomics and anthropometrics to make interactions between the user and product more efficient and comfortable
clearance and reach
clearance = distance between two objects –> 95th percentile is used
reach = a range that a person can stretch to touch or grab an object from a specific position
- used in the work envelope
range of sizes and adjustability
adjustability = available in different sizes or with adjustability built-in to be fit for a wider audience
- adjustability to be available for a range of sizes
ergonome and manikin
ergonome = 2D scaled physical anthropometric model based on a specific percentile human form –> to consider the relationship between the size of an object and people
manikin = an anatomical 3D model of the human body –> useful for assessing the relationship of body parts
methods to collect psychological data
psychological factors
relates to the 5 senses
- smell
- light
- sound
- taste
- texture
- temperature
human information processing systems
input –> sensory processes –> central processes –> motor processes –> output
how to maximise workplace performance
human error
slips = result from automatic behavior
mistakes = conscious deliberations
physiological factors
bodily tolerances such as comfort and fatigue
- how physical attributes affect the design
- these factors are used to optimise user safety, health, comfort, and performance