1.1 B Psychological Factors

1.1 B Psychological Factors 
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1.1 B Psychological Factors 

Slide 1 - Diapositive

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Learning Objectives
  • Understand the concept of psychological factors and how they affect human behavior and efficiency.
  • Identify the four types of measurement data scales: nominal, ordinal, interval, and ratio.
  • Differentiate between qualitative and quantitative data.
  • Comprehend the Human Information Processing System and its potential breakdown.
  • Recognize the impact of environmental factors on individual performance.

Slide 2 - Diapositive

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What do you already know about psychological factors and human information processing?

Slide 3 - Carte mentale

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Concepts & Principles 
  • Psychological factor data
  • Human Information processing systems
  • Effect of environmental factors 
  • Alterness
  • Perseption 

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Nature of Design 
Human beings vary psychologically in complex ways. Any attempt by designers to classify people into groups merly results in a statement of broad principles that may or may not be relevent to the individual. Design permeates every aspect of human experrience and data pertaining to what cannot be seen such as touch, taste and smell are oftern expressions of opinion rather than checkable fact. 

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Slide 6 - Vidéo

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Psychological Factor Data
  • Psychological Factors: Human factor data related to psychological interpretations caused by light, smell, sound, taste, temperature, and texture.

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Methods of Collecting Psychological Factor Data
  • Nominal Scale: Used in classification or division of objects into discrete groups, without providing measurement within or between categories.
  • Ordinal Scale: A statistical data type that ranks a set of data points without providing exact numerical value.
  • Interval Scale: Numeric scales knowing the order and the exact difference between the values.
  • Ratio Scale: Allows comparison between numbers, with a true zero point.

Slide 8 - Diapositive

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Nominal (Data Scale)
Nominal means "by name" used in classification or division of objects into discreate groups. Each of which is identifed with name e.g Cars, and the scale does not provide any measurement within or beteen categories. 
Nominal data is qualitative

Slide 9 - Diapositive

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Ordinal Data
Ordinal data: A statistical data type that exists on arbitrary numical calse where the exact numerical value has no significance other than to rank a set of data points.  
Ordinal data is qualitative

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Interval data
Interval data are based on numeric scales in which we know the order and the exact diffrence between the values.  
Interval data is qualitative

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Ratio data scale
A ratio scale allows you to compare differences between numbers. A ratio scale is a quantitaive scale where there is a true zero and equal intervals between neighboring points.  
Ratio data is  is qualitative

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Example 

Slide 13 - Diapositive

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Qualitative versus Quantitative Data
  • Qualitative Data: Descriptive data used to understand perceptions and feelings.
  • Quantitative Data: Data that can be measured and recorded using numbers.

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Human Information Processing Systems
  • Human Information Processing System: An automatic system that a person uses to interpret information and react.

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A Breakdown in the Human Information Processing System (Effects and Reasons)
  • A breakdown can occur due to incompatible inputs, incorrect information processing, or inability to perform actions at the output stage.

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Effect of Environmental Factors
  • Environmental Factors: A set of psychological factors from the environment affecting the performance of an individual.
  • Variations in individual reactions due to sound, temperature, lighting, air quality, and smell.

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Alertness & Perception
  • Alertness: The level of vigilance, readiness or caution of an individual 
  • Perception: The ay in which something is regarded, understood or interpreted 

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Definition List
  • Psychological Factors: Human factor data related to psychological interpretations caused by light, smell, sound, taste, temperature, and texture.
  • Nominal Scale: Used in classification or division of objects into discrete groups, without providing measurement within or between categories.
  • Ordinal Scale: A statistical data type that ranks a set of data points without providing exact numerical value.
  • Interval Scale: Numeric scales knowing the order and the exact difference between the values.
  • Ratio Scale: Allows comparison between numbers, with a true zero point.

Slide 19 - Diapositive

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Continued
  • Qualitative Data: Descriptive data used to understand perceptions and feelings.
  • Quantitative Data: Data that can be measured and recorded using numbers.
  • Human Information Processing System: An automatic system that a person uses to interpret information and react.
  • Environmental Factors: A set of psychological factors from the environment affecting the performance of an individual.

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Slide 21 - Vidéo

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According to the text, what role does psychological factor data play in the design process?
A
Psychological factor data helps designers understand how humans interpret elements like light, smell, sound, taste, temperature, and texture.
B
Psychological factor data helps designers categorize individuals into specific groups.
C
Psychological factor data helps designers optimize environmental factors.
D
Psychological factor data helps designers analyze causes and effects.

Slide 22 - Quiz

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What are the four types of measurement scales used to collect psychological factor data?
A
Nominal, ordinal, interval, and ratio
B
Quantitative, qualitative, subjective, and objective
C
Categorization, ranking, numeric, and comparison
D
Objective, subjective, exact, and approximate

Slide 23 - Quiz

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What is the main idea of this topic?
A
Designers must consider the complex psychological differences among individuals when creating products.
B
The human information processing system consists of inputs, processes, and outputs.
C
Design impacts every aspect of our lives, including senses like touch, taste, and smell.
D
Optimizing environmental factors is crucial for maximizing workplace productivity.

Slide 24 - Quiz

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According to the unit, what is the purpose of analyzing psychological factor data?
A
To identify potential problems and their impact
B
To categorize individuals into specific groups
C
To optimize environmental factors
D
To analyze causes and effects

Slide 25 - Quiz

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What are the two types of scales used to collect psychological factor data?

A
Nominal and ordinal
B
Categorization and ranking
C
Quantitative and qualitative
D
Objective and subjective

Slide 26 - Quiz

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Write down 3 things you learned in this lesson.

Slide 27 - Question ouverte

Have students enter three things they learned in this lesson. With this they can indicate their own learning efficiency of this lesson.
Write down 2 things you want to know more about.

Slide 28 - Question ouverte

Here, students enter two things they would like to know more about. This not only increases involvement, but also gives them more ownership.
Ask 1 question about something you haven't quite understood yet.

Slide 29 - Question ouverte

The students indicate here (in question form) with which part of the material they still have difficulty. For the teacher, this not only provides insight into the extent to which the students understand/master the material, but also a good starting point for the next lesson.