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Lecture notes

Notes for the course: Cognitive Psych. and its Applications, VU AI

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Those are the notes I took during the Cognitive Psych. and its Applications course. With this, you do not need to look at any lecture, because all the needed information from the slides are included in my notes!

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Uploaded on
February 23, 2022
Number of pages
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Written in
2020/2021
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Artem belopolskiy
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Cognitive Psych. and its Applications
Created @September 2, 2020 1:45 PM

Class S1

Type S1

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Lecture 1 (1 Sept 2020)
Introduction to Course [H1, H2, H19]

Aim of the course
get an insight into applications of cognitive theories to solve societal problems.

Learning objectives

To understand the role of human cognitive capabilities and limitations in the design of products, work
places, and large systems

To get acquainted with main areas of human factors

To get acquainted with main theories and findings on human performance

To understand where in the process to apply knowledge

To understand the methods used to analyze human performance

To practice identifying possible problems in human-machine interaction

To practice applying knowledge to analyze/create/improve systems

To practice presenting new ideas and solutions



What is Cognitive Psychology?



💡 Tak van de psychologie die zich bezighoudt met alle psychische processen die te maken hebben met
zaken als begrip, kennis, herinneringen, geheugen, probleem oplossen en informatieverwerking. Het
beschouwt de cognitie als onderwerp dat zelfstandig bestudeerd kan worden, dus niet vanuit het
gedrag van de individu.


To uncover the laws of information processing and behavior through experiments

Fundamental questions

No requirement for application

What is Human Factors?



Cognitive Psych. and its Applications 1

, To apply knowledge by designing systems that work

To accommodate the limits of human performance

Directly applied problems

What is Engineering Psychology?




💡 The study of interaction between humans and systems in order to improve performance, safety,
health and usability


Focuses on information processing capacities of the brain

Psychological perspectives to the problems of system design


“Designing machines to accommodate the limits
of information-processing capacities of the
human brain.”

This creates a better system, the Goals of better systems are:

Development of generic knowledge

Enhance efficiency (productivity)

Ensure safety, reduce error

Assure tasks are within human capability

Increase user satisfaction, comfort

Improve human performance

Reduce costs (economic, legal, social)



Cognitive Psych. and its Applications 2

, Basic Research Applied research

Theory, basic principles Particular population/task/product/
system/environment
Generalizable
Face value
Controlled
But: narrow scope, expensive, possbile, confounds,
But: artificial, not specific. Done in lab so stable
ethical aspects
environment, different from real world


Brief history of HF

WW2: designing a human to fit the machine, the best machine was invented and the human had to use it,
main focus was selected on training → was not optimal, humans where not able to operate them →
scientists realised the approach needed to be different

Technology advancements in last half 20th century and nowadays:

Increased logical: not understand by a lot of people, but still done by training people for it

physical complexity: increases in size, makes it difficult to operate with it

More and more rely on automation

How far can we push our brain to adjust to those technology?

Understanding brain as human information processing system & all the advancements caused the creation
of HF

Human factor Cycle




Human factor engineer can help by A (most common approach, when there is a fault found. Expensive because
not correcting the real problem but applying a plaster) or B (engineer involved since start)




Cognitive Psych. and its Applications 3

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