SlideShare ist ein Scribd-Unternehmen logo
1 von 58
Introduction to Sensation and Perception Chapter 4
How Psychology developed as a field. The ways Psychologists conduct research. The basic building blocks. Genes, Nervous System, Hormones Bringing the world into your brain. Sensation and Perception Chapter 1 – Chapter 2 – Chapter 3 – Chapter 4 –
Why Study Sensation and Perception? “I’ll believe it when I see it” “I know what I saw (heard)” “How can you eat that!!” “What do you mean, you like getting spanked?”
Each of these,  at least at the most basic level,  involves sensation and perception.
Two Main Points Human sense organs are not like electronic equipment Eyes are not cameras, Ears are not microphones… There is variability in sensation For different stimuli – sensation is relative Perception is SUBJECTIVE, not absolute
Sensation Definition:  stimulation of the sense organs
Thresholds Intuitive definition The “threshold” of your house is your doorway.  You’re outside until you pass through the threshold; then you are inside.  This happens exactly at the door frame… every time… always the same… Do your eyes work like that?
Thought Experiment You have a two-mile long garage with no windows  (pretend this isn’t ridiculous)
Thought Experiment Inside, you put a remote-controlled truck at one end.  On top of the truck is an extremely tiny, faint light bulb.  It has no other lights.
Thought Experiment You sit at the other end and turn off the lights.  It’s pitch black. You hold the remote stick to start the truck moving toward you, slowly.  Release the control to stop the truck as soon as you see the light bulb. Truck You
Thought Experiment Turn on the lights.  Go to the truck and mark a chalk line on the floor where it stopped. Set up the truck again, turn off the lights.  Start the truck.  Stop it when you see the light.  Mark the floor with chalk. Repeat this 100 times
Thought Experiment If your vision had a threshold like a doorway in a house, you would draw a chalk line in the same spot on the floor every time – 100 lines all on top of each other. That’s not what you get.
Thought Experiment Here is what the chalk lines on the floor would look like, approximately: So where is the “threshold”? Note: this is a simplification.  The lines wouldn’t be symmetrical as drawn above, but explaining why needs physics and math.  The example is valid despite this simplification.
Thresholds Operational definition of Threshold for light The minimum amount of light at which you detect it 50% of the time. In the thought experiment, it would be the point on the floor where 50% of the lines are in front of it, and 50% are beyond it. So about right here
If you graphed this, you would get the red curve. Note: the intuitive definition of a threshold is the blue curve
Truck getting closer The horizontal axis is the distance of the truck from you. When the light on the truck is far away, it is a very low intensity. As the truck gets closer,  the intensity of the light increases (This is physics.  Google the Inverse Square Law if you’re curious why this happens.)
Think of the vertical axis as the percentage of the 100 chalk lines that the truck has crossed as it drives toward you.
None Think of the vertical axis as the percentage of the 100 chalk lines that the truck has crossed as it drives toward you.
None Think of the vertical axis as the percentage of the 100 chalk lines that the truck has crossed as it drives toward you.
Couple Think of the vertical axis as the percentage of the 100 chalk lines that the truck has crossed as it drives toward you.
More Think of the vertical axis as the percentage of the 100 chalk lines that the truck has crossed as it drives toward you.
50% Think of the vertical axis as the percentage of the 100 chalk lines that the truck has crossed as it drives toward you.
Most Think of the vertical axis as the percentage of the 100 chalk lines that the truck has crossed as it drives toward you.
All Think of the vertical axis as the percentage of the 100 chalk lines that the truck has crossed as it drives toward you.
So…
Thresholds – Review and Main Points Your eyes are not like cameras. There is variability in how you sense light. The intuitive idea of a “Threshold” simply does not fit. We use an operational definition of “absolute threshold” to describe how you really notice a stimulus.
Main Point 1.  First Part There is variability in sensation
Just Noticeable Differences (JNDs) Now that you see a light, how much does it have to change in intensity for you to notice it? This is the JND The size of the JND depends on how intense the first light is.
Just Noticeable Differences (JNDs) Example:   You have a bulb that lets you go from 5 Watts to 10 Watts. You would see this difference. 10 W 5 W
Just Noticeable Differences (JNDs) But if you went from a 100 Watt bulb to a 105 Watt bulb, you would see no difference. A difference of 5 Watts is only noticeable if you start with dim bulbs. 100 W 105 W
Have you ever purchased a three-way bulb that goes from 50 Watts   to  100 Watts  to  150 Watts? You see a big change from dark to 50W, then a large increase in brightness when you click to 100W….but there’s only a tiny change after the third click to 150W. 150 W 100 W 50 W
This is a similar idea to JNDs.    The key point is that your eyes are not on an absolute scale.   What you notice is relative to stimulus intensity!
Main Point 1.  Complete There is variability in sensation For different stimuli – sensation is relative
Perception Definition:  The selection, organization, and interpretation of sensory input
Playing with a truck in a fictional building was fun, but that isn’t the real world. The idea of an “absolute threshold” applies best to laboratories, or to silly situations like a two-mile long garage with no windows… In the real world, it is more complicated.
What if the survival of a plane full of people relies on you noticing this light as you look at this display
Signal Detection Theory Signal Detection Theory has direct applications in the design of many products. In the case of cockpits, it is essential.
Signal Detection Theory Whether or not a pilot detects a warning light depends on: Stimulus Intensity the idea of absolute threshold still applies If a light is too dim, the pilot doesn’t see it Noise in the environment “Noise” refers to stimuli competing for the same sense In a cockpit, other lights, dials, flashes, and reflected lights are “noise” More noise  more intense warning light is needed for detection Your Criterion for Deciding if you detect the stimulus
Signal Detection Theory Here is where detecting a little warning light becomes a question of perception. You select, organize, and interpret sensory information.   You matter.
Signal Detection Theory Good situation: The pilot is vigilant, attentive, and motivated.  He or she is concerned about doing the job well. Bad situation: The pilot feels comfortable flying, sees him or herself as a seasoned pro, and has the routine flight checklists so well learned that he or she can “do it in their sleep.”
Signal Detection Theory Good situation: The pilot is vigilant, attentive, and motivated.  He or she is concerned about doing the job well. This is a very sensitive criterion Bad situation: The pilot feels comfortable flying, sees him or herself as a seasoned pro, and has the routine flight checklists so well learned that he or she can “do it in their sleep.” This is not a sensitive criterion
Main Point 2.   Perception is SUBJECTIVE, not absolute.
Signal Detection Theory Review – Detecting a stimulus depends on: Stimulus Intensity If a light is too dim, the pilot doesn’t see it Noise in the environment More noise  more intense warning light is needed for detection The person’s criterion for deciding if they detect the stimulus
Four Possible Outcomes In a signal detection situation, there are four possible outcomes as you try to detect the stimulus. Columns represent reality Rows are the person’s decision.
Example:   You order a pizza during a party.  As you enjoy yourself, there is background noise.  You are listening for the doorbell for the pizza person.
Right after placing the order, your Criterion is very low.  You expect a “Correct Rejection,” where you don’t hear anything and nothing is at the door.  This criterion increases risks of “Misses,” though.   If they miraculously try to deliver a pizza 5 minutes after you call, you might not hear them ringing your doorbell!
However, 40 minutes later, your Criterion changes to high sensitivity.  You want pizza!  You want a “Hit,” but that also risks “False Alarms,” or thinking you hear a doorbell when there really was none.
What you expect, what you are doing, and how much you care about detecting the stimulus matters! Perception is subjective.
Main Point 2.   Perception is SUBJECTIVE, not absolute. Different people can select, organize, and interpret the same stimulus differently. The same person can select, organize, or interpret the same stimulus differently on different occasions.
These ideas can be implemented and controlled in cockpit design, pilot training, and FAA regulations. Human Factors Engineering is an Applied field where Psychologists and other professionals use these ideas. Other situations do not have such extreme oversight, but lives are still at stake…
Example in Nursing Alarm Fatigue Nurses constantly hear alarms going off during their jobs.  Low battery alerts, I/V alerts, monitor alerts… The beeps, buzzes, and alarms each day can number in the 100s. The problem is that some of these are trivial and others are life threatening.
Example in Nursing Situation:  a nurse needs to hear a life threatening alarm Signal Detection Theory The loudness, pitch, and timbre of the alarm matters The “noise” in this case is all of the other beeps, blips, buzzes, and low priority alarms going off The decision criterion is the nurse’s attentiveness and focus on the alarms
Example in Nursing Situation:  a nurse needs to hear a life threatening alarm Possible Outcomes Hit– Nurse hears alarm, emergency response started Correct Rejection – Nurse hears no alarm, nothing is wrong False Alarm – Nurse “hears” alarm, emergency response started unnecessarily:  wastes resources, time, and money.  Is embarrassing… Miss– Nurse hears no alarm, a person suffers, or worse…
Example in Nursing The problem is that the diverse cacophony of alarms can lead to a criterion that looks like this:
Example in Nursing Getting used to not reacting to alarms (Correct Rejections) leads to an increase risk of Misses.
Example in Nursing Unfortunately, there are many manufacturers of equipment.  Each hospital may have various models of equipment, all with different alarms.  Different departments in the same hospitals have different systems… There is no equivalent to the airline manufacturer who designs everything in a cockpit to work together, with FAA oversight. Finding a solution needs applied research.  Psychology is essential.
Summary In this slideshow, we used several topics from your text to introduce sensation and perception. Psychologists who study sensation and perception can be basic researchers or applied researchers. Sometimes basic research (spending years studying how people notice differences between sounds) can become essential for applied research.
Summary You read examples of Thresholds and Just Noticeable Differences From this, we illustrated the first main point: There is variability in sensation. For different stimuli, sensation is relative. Then you read a descriptions of examples of using Signal Detection Theory From this, we illustrated the second main point: Perception is subjective, not absolute

Weitere ähnliche Inhalte

Was ist angesagt?

ASAS PSIKOLOGI sensation and perception
ASAS PSIKOLOGI sensation and perceptionASAS PSIKOLOGI sensation and perception
ASAS PSIKOLOGI sensation and perception
Amin Upsi
 
Perception and sensation
Perception and sensationPerception and sensation
Perception and sensation
Harve Abella
 
Ch 3 sensation perception
Ch 3 sensation perceptionCh 3 sensation perception
Ch 3 sensation perception
Malanda1
 
Sensation and Perception
Sensation and PerceptionSensation and Perception
Sensation and Perception
ARUL LAWRENCE
 
Sensation and Perception
Sensation and PerceptionSensation and Perception
Sensation and Perception
Sophia Vadlit
 
chapter 5-sensory, attentional and perceptual processes
chapter 5-sensory, attentional and perceptual processeschapter 5-sensory, attentional and perceptual processes
chapter 5-sensory, attentional and perceptual processes
LabhanshiBhargava
 
Sensation and Perception
Sensation and PerceptionSensation and Perception
Sensation and Perception
PhilosophyZ
 
SENSATION AND PERCEPTION Psychology
SENSATION AND PERCEPTION PsychologySENSATION AND PERCEPTION Psychology
SENSATION AND PERCEPTION Psychology
Precious Concha
 

Was ist angesagt? (20)

Chapter 5 (sensation)
Chapter 5 (sensation)Chapter 5 (sensation)
Chapter 5 (sensation)
 
Sensation and perception
Sensation and perception Sensation and perception
Sensation and perception
 
ASAS PSIKOLOGI sensation and perception
ASAS PSIKOLOGI sensation and perceptionASAS PSIKOLOGI sensation and perception
ASAS PSIKOLOGI sensation and perception
 
Sensation & Perception
Sensation & PerceptionSensation & Perception
Sensation & Perception
 
Sensation and Perception
Sensation and PerceptionSensation and Perception
Sensation and Perception
 
Perception and sensation
Perception and sensationPerception and sensation
Perception and sensation
 
Sensation and Characteristics of Sense Receptors
Sensation and Characteristics of Sense ReceptorsSensation and Characteristics of Sense Receptors
Sensation and Characteristics of Sense Receptors
 
Sensation and perception
Sensation and perceptionSensation and perception
Sensation and perception
 
Ch 3 sensation perception
Ch 3 sensation perceptionCh 3 sensation perception
Ch 3 sensation perception
 
Sensation and Perception (psychology)
Sensation and Perception (psychology)Sensation and Perception (psychology)
Sensation and Perception (psychology)
 
Sensation and Perception
Sensation and PerceptionSensation and Perception
Sensation and Perception
 
Sensation and Perception
Sensation and PerceptionSensation and Perception
Sensation and Perception
 
Sensation & Perception 1
Sensation & Perception 1Sensation & Perception 1
Sensation & Perception 1
 
7 sensation
7  sensation7  sensation
7 sensation
 
chapter 5-sensory, attentional and perceptual processes
chapter 5-sensory, attentional and perceptual processeschapter 5-sensory, attentional and perceptual processes
chapter 5-sensory, attentional and perceptual processes
 
Psychology perception
Psychology   perceptionPsychology   perception
Psychology perception
 
Psychology 101 Sensation & Perception
Psychology 101 Sensation & PerceptionPsychology 101 Sensation & Perception
Psychology 101 Sensation & Perception
 
Sensation and Perception
Sensation and PerceptionSensation and Perception
Sensation and Perception
 
SENSATION AND PERCEPTION Psychology
SENSATION AND PERCEPTION PsychologySENSATION AND PERCEPTION Psychology
SENSATION AND PERCEPTION Psychology
 
Sensation & Perception 2
Sensation & Perception 2Sensation & Perception 2
Sensation & Perception 2
 

Andere mochten auch

Psychological science and beliefs
Psychological science and beliefsPsychological science and beliefs
Psychological science and beliefs
Lance Jones
 
Researching cause and effect
Researching cause and effectResearching cause and effect
Researching cause and effect
Lance Jones
 
Thinking about correlation
Thinking about correlationThinking about correlation
Thinking about correlation
Lance Jones
 
٢١ سؤال تساعدك في التفكير النقدي Critical Thinking
٢١ سؤال تساعدك في التفكير النقدي Critical Thinking٢١ سؤال تساعدك في التفكير النقدي Critical Thinking
٢١ سؤال تساعدك في التفكير النقدي Critical Thinking
Abdulrahman Hariri
 
PSYC1101 - Chapter 1, 4th Edition PowerPoint
PSYC1101 - Chapter 1, 4th Edition PowerPointPSYC1101 - Chapter 1, 4th Edition PowerPoint
PSYC1101 - Chapter 1, 4th Edition PowerPoint
hunzikerCCC
 
Introduction to language and thought
Introduction to language and thoughtIntroduction to language and thought
Introduction to language and thought
Lance Jones
 
Behaviorism vs cognitive black box
Behaviorism vs cognitive black boxBehaviorism vs cognitive black box
Behaviorism vs cognitive black box
Lance Jones
 

Andere mochten auch (20)

Critical thinking
Critical thinkingCritical thinking
Critical thinking
 
Psychological science and beliefs
Psychological science and beliefsPsychological science and beliefs
Psychological science and beliefs
 
التفكير الناقد
التفكير الناقدالتفكير الناقد
التفكير الناقد
 
Researching cause and effect
Researching cause and effectResearching cause and effect
Researching cause and effect
 
Introduction to human memory
Introduction to human memoryIntroduction to human memory
Introduction to human memory
 
Introduction to research methods
Introduction to research methodsIntroduction to research methods
Introduction to research methods
 
Introduction to consciousness
Introduction to consciousnessIntroduction to consciousness
Introduction to consciousness
 
Vision topics examples
Vision topics   examplesVision topics   examples
Vision topics examples
 
Introduction to Psychological Research
Introduction to Psychological ResearchIntroduction to Psychological Research
Introduction to Psychological Research
 
دورة التفكير الناقد الدرس الأول
دورة التفكير الناقد الدرس الأولدورة التفكير الناقد الدرس الأول
دورة التفكير الناقد الدرس الأول
 
التفكير الناقد والتفكير الابداعي
التفكير الناقد والتفكير الابداعيالتفكير الناقد والتفكير الابداعي
التفكير الناقد والتفكير الابداعي
 
Ch10 ppt
Ch10 pptCh10 ppt
Ch10 ppt
 
Thinking about correlation
Thinking about correlationThinking about correlation
Thinking about correlation
 
٢١ سؤال تساعدك في التفكير النقدي Critical Thinking
٢١ سؤال تساعدك في التفكير النقدي Critical Thinking٢١ سؤال تساعدك في التفكير النقدي Critical Thinking
٢١ سؤال تساعدك في التفكير النقدي Critical Thinking
 
PSYC1101 - Chapter 1, 4th Edition PowerPoint
PSYC1101 - Chapter 1, 4th Edition PowerPointPSYC1101 - Chapter 1, 4th Edition PowerPoint
PSYC1101 - Chapter 1, 4th Edition PowerPoint
 
Introduction to language and thought
Introduction to language and thoughtIntroduction to language and thought
Introduction to language and thought
 
Behaviorism vs cognitive black box
Behaviorism vs cognitive black boxBehaviorism vs cognitive black box
Behaviorism vs cognitive black box
 
THINKING - PSYCHOLOGY
THINKING - PSYCHOLOGYTHINKING - PSYCHOLOGY
THINKING - PSYCHOLOGY
 
“Individual difference and educational implications- thinking, intelligence a...
“Individual difference and educational implications- thinking, intelligence a...“Individual difference and educational implications- thinking, intelligence a...
“Individual difference and educational implications- thinking, intelligence a...
 
Introduction to learning
Introduction to learningIntroduction to learning
Introduction to learning
 

Ähnlich wie Introduction to sensation and perception

Section 2 Senses And Perception
Section 2 Senses And PerceptionSection 2 Senses And Perception
Section 2 Senses And Perception
dgifford
 
General overview of psychology proj
General overview of psychology projGeneral overview of psychology proj
General overview of psychology proj
rachelp7
 
Aeromed jeopardy 2
Aeromed jeopardy 2Aeromed jeopardy 2
Aeromed jeopardy 2
guest10baad
 
Chapter 5Sensation and PerceptionFigure 5.1 If you wer.docx
Chapter 5Sensation and PerceptionFigure 5.1 If you wer.docxChapter 5Sensation and PerceptionFigure 5.1 If you wer.docx
Chapter 5Sensation and PerceptionFigure 5.1 If you wer.docx
robertad6
 
Chapter 5Sensation and PerceptionFigure 5.1 If you wer.docx
Chapter 5Sensation and PerceptionFigure 5.1 If you wer.docxChapter 5Sensation and PerceptionFigure 5.1 If you wer.docx
Chapter 5Sensation and PerceptionFigure 5.1 If you wer.docx
keturahhazelhurst
 
Morganlogic 131030190049-phpapp01
Morganlogic 131030190049-phpapp01Morganlogic 131030190049-phpapp01
Morganlogic 131030190049-phpapp01
barujspinoza
 
AP Sensation Perception
AP Sensation Perception AP Sensation Perception
AP Sensation Perception
MrAguiar
 
What every body is saying (english )24
What every body is saying (english )24What every body is saying (english )24
What every body is saying (english )24
Cat Love
 
Explore your-blind-spot
Explore your-blind-spotExplore your-blind-spot
Explore your-blind-spot
Elsa von Licy
 

Ähnlich wie Introduction to sensation and perception (20)

Section 2 Senses And Perception
Section 2 Senses And PerceptionSection 2 Senses And Perception
Section 2 Senses And Perception
 
4. Serving Two Masters
4. Serving Two Masters4. Serving Two Masters
4. Serving Two Masters
 
General overview of psychology proj
General overview of psychology projGeneral overview of psychology proj
General overview of psychology proj
 
31 SAMPLE IELTS TASK 2 ESSAYS
31 SAMPLE IELTS TASK 2 ESSAYS31 SAMPLE IELTS TASK 2 ESSAYS
31 SAMPLE IELTS TASK 2 ESSAYS
 
Aeromed jeopardy 2
Aeromed jeopardy 2Aeromed jeopardy 2
Aeromed jeopardy 2
 
The Real Sherlock Holmes - The Mini Monographs With Ben Cardall
The Real Sherlock Holmes - The Mini Monographs With Ben CardallThe Real Sherlock Holmes - The Mini Monographs With Ben Cardall
The Real Sherlock Holmes - The Mini Monographs With Ben Cardall
 
A quick tour of logos the logical appeal copypasteads.com
A quick tour of logos the logical appeal copypasteads.comA quick tour of logos the logical appeal copypasteads.com
A quick tour of logos the logical appeal copypasteads.com
 
www.168jualbibittanaman.com
www.168jualbibittanaman.comwww.168jualbibittanaman.com
www.168jualbibittanaman.com
 
Morganlogic 131030190049-phpapp01
Morganlogic 131030190049-phpapp01Morganlogic 131030190049-phpapp01
Morganlogic 131030190049-phpapp01
 
Ppt
PptPpt
Ppt
 
Chapter 5Sensation and PerceptionFigure 5.1 If you wer.docx
Chapter 5Sensation and PerceptionFigure 5.1 If you wer.docxChapter 5Sensation and PerceptionFigure 5.1 If you wer.docx
Chapter 5Sensation and PerceptionFigure 5.1 If you wer.docx
 
Chapter 5Sensation and PerceptionFigure 5.1 If you wer.docx
Chapter 5Sensation and PerceptionFigure 5.1 If you wer.docxChapter 5Sensation and PerceptionFigure 5.1 If you wer.docx
Chapter 5Sensation and PerceptionFigure 5.1 If you wer.docx
 
Management of Organizations-Part I
Management of Organizations-Part IManagement of Organizations-Part I
Management of Organizations-Part I
 
Phenomenology
PhenomenologyPhenomenology
Phenomenology
 
Morganlogic 131030190049-phpapp01
Morganlogic 131030190049-phpapp01Morganlogic 131030190049-phpapp01
Morganlogic 131030190049-phpapp01
 
Ap sensation perception new 14 15
Ap sensation perception new 14 15Ap sensation perception new 14 15
Ap sensation perception new 14 15
 
AP Sensation Perception
AP Sensation Perception AP Sensation Perception
AP Sensation Perception
 
What every body is saying (english )24
What every body is saying (english )24What every body is saying (english )24
What every body is saying (english )24
 
Explore your-blind-spot
Explore your-blind-spotExplore your-blind-spot
Explore your-blind-spot
 
Intro to modelling-supervised learning
Intro to modelling-supervised learningIntro to modelling-supervised learning
Intro to modelling-supervised learning
 

Kürzlich hochgeladen

Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Victor Rentea
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 

Kürzlich hochgeladen (20)

Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
 
Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024
 
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectorsMS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
 
CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In PakistanCNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistan
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfRising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
 
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf
 

Introduction to sensation and perception

  • 1. Introduction to Sensation and Perception Chapter 4
  • 2. How Psychology developed as a field. The ways Psychologists conduct research. The basic building blocks. Genes, Nervous System, Hormones Bringing the world into your brain. Sensation and Perception Chapter 1 – Chapter 2 – Chapter 3 – Chapter 4 –
  • 3. Why Study Sensation and Perception? “I’ll believe it when I see it” “I know what I saw (heard)” “How can you eat that!!” “What do you mean, you like getting spanked?”
  • 4. Each of these, at least at the most basic level, involves sensation and perception.
  • 5. Two Main Points Human sense organs are not like electronic equipment Eyes are not cameras, Ears are not microphones… There is variability in sensation For different stimuli – sensation is relative Perception is SUBJECTIVE, not absolute
  • 6. Sensation Definition: stimulation of the sense organs
  • 7. Thresholds Intuitive definition The “threshold” of your house is your doorway. You’re outside until you pass through the threshold; then you are inside. This happens exactly at the door frame… every time… always the same… Do your eyes work like that?
  • 8. Thought Experiment You have a two-mile long garage with no windows (pretend this isn’t ridiculous)
  • 9. Thought Experiment Inside, you put a remote-controlled truck at one end. On top of the truck is an extremely tiny, faint light bulb. It has no other lights.
  • 10. Thought Experiment You sit at the other end and turn off the lights. It’s pitch black. You hold the remote stick to start the truck moving toward you, slowly. Release the control to stop the truck as soon as you see the light bulb. Truck You
  • 11. Thought Experiment Turn on the lights. Go to the truck and mark a chalk line on the floor where it stopped. Set up the truck again, turn off the lights. Start the truck. Stop it when you see the light. Mark the floor with chalk. Repeat this 100 times
  • 12. Thought Experiment If your vision had a threshold like a doorway in a house, you would draw a chalk line in the same spot on the floor every time – 100 lines all on top of each other. That’s not what you get.
  • 13. Thought Experiment Here is what the chalk lines on the floor would look like, approximately: So where is the “threshold”? Note: this is a simplification. The lines wouldn’t be symmetrical as drawn above, but explaining why needs physics and math. The example is valid despite this simplification.
  • 14. Thresholds Operational definition of Threshold for light The minimum amount of light at which you detect it 50% of the time. In the thought experiment, it would be the point on the floor where 50% of the lines are in front of it, and 50% are beyond it. So about right here
  • 15. If you graphed this, you would get the red curve. Note: the intuitive definition of a threshold is the blue curve
  • 16. Truck getting closer The horizontal axis is the distance of the truck from you. When the light on the truck is far away, it is a very low intensity. As the truck gets closer, the intensity of the light increases (This is physics. Google the Inverse Square Law if you’re curious why this happens.)
  • 17. Think of the vertical axis as the percentage of the 100 chalk lines that the truck has crossed as it drives toward you.
  • 18. None Think of the vertical axis as the percentage of the 100 chalk lines that the truck has crossed as it drives toward you.
  • 19. None Think of the vertical axis as the percentage of the 100 chalk lines that the truck has crossed as it drives toward you.
  • 20. Couple Think of the vertical axis as the percentage of the 100 chalk lines that the truck has crossed as it drives toward you.
  • 21. More Think of the vertical axis as the percentage of the 100 chalk lines that the truck has crossed as it drives toward you.
  • 22. 50% Think of the vertical axis as the percentage of the 100 chalk lines that the truck has crossed as it drives toward you.
  • 23. Most Think of the vertical axis as the percentage of the 100 chalk lines that the truck has crossed as it drives toward you.
  • 24. All Think of the vertical axis as the percentage of the 100 chalk lines that the truck has crossed as it drives toward you.
  • 25. So…
  • 26. Thresholds – Review and Main Points Your eyes are not like cameras. There is variability in how you sense light. The intuitive idea of a “Threshold” simply does not fit. We use an operational definition of “absolute threshold” to describe how you really notice a stimulus.
  • 27. Main Point 1. First Part There is variability in sensation
  • 28. Just Noticeable Differences (JNDs) Now that you see a light, how much does it have to change in intensity for you to notice it? This is the JND The size of the JND depends on how intense the first light is.
  • 29. Just Noticeable Differences (JNDs) Example: You have a bulb that lets you go from 5 Watts to 10 Watts. You would see this difference. 10 W 5 W
  • 30. Just Noticeable Differences (JNDs) But if you went from a 100 Watt bulb to a 105 Watt bulb, you would see no difference. A difference of 5 Watts is only noticeable if you start with dim bulbs. 100 W 105 W
  • 31. Have you ever purchased a three-way bulb that goes from 50 Watts to 100 Watts to 150 Watts? You see a big change from dark to 50W, then a large increase in brightness when you click to 100W….but there’s only a tiny change after the third click to 150W. 150 W 100 W 50 W
  • 32. This is a similar idea to JNDs. The key point is that your eyes are not on an absolute scale. What you notice is relative to stimulus intensity!
  • 33. Main Point 1. Complete There is variability in sensation For different stimuli – sensation is relative
  • 34. Perception Definition: The selection, organization, and interpretation of sensory input
  • 35. Playing with a truck in a fictional building was fun, but that isn’t the real world. The idea of an “absolute threshold” applies best to laboratories, or to silly situations like a two-mile long garage with no windows… In the real world, it is more complicated.
  • 36. What if the survival of a plane full of people relies on you noticing this light as you look at this display
  • 37. Signal Detection Theory Signal Detection Theory has direct applications in the design of many products. In the case of cockpits, it is essential.
  • 38. Signal Detection Theory Whether or not a pilot detects a warning light depends on: Stimulus Intensity the idea of absolute threshold still applies If a light is too dim, the pilot doesn’t see it Noise in the environment “Noise” refers to stimuli competing for the same sense In a cockpit, other lights, dials, flashes, and reflected lights are “noise” More noise  more intense warning light is needed for detection Your Criterion for Deciding if you detect the stimulus
  • 39. Signal Detection Theory Here is where detecting a little warning light becomes a question of perception. You select, organize, and interpret sensory information. You matter.
  • 40. Signal Detection Theory Good situation: The pilot is vigilant, attentive, and motivated. He or she is concerned about doing the job well. Bad situation: The pilot feels comfortable flying, sees him or herself as a seasoned pro, and has the routine flight checklists so well learned that he or she can “do it in their sleep.”
  • 41. Signal Detection Theory Good situation: The pilot is vigilant, attentive, and motivated. He or she is concerned about doing the job well. This is a very sensitive criterion Bad situation: The pilot feels comfortable flying, sees him or herself as a seasoned pro, and has the routine flight checklists so well learned that he or she can “do it in their sleep.” This is not a sensitive criterion
  • 42. Main Point 2. Perception is SUBJECTIVE, not absolute.
  • 43. Signal Detection Theory Review – Detecting a stimulus depends on: Stimulus Intensity If a light is too dim, the pilot doesn’t see it Noise in the environment More noise  more intense warning light is needed for detection The person’s criterion for deciding if they detect the stimulus
  • 44. Four Possible Outcomes In a signal detection situation, there are four possible outcomes as you try to detect the stimulus. Columns represent reality Rows are the person’s decision.
  • 45. Example: You order a pizza during a party. As you enjoy yourself, there is background noise. You are listening for the doorbell for the pizza person.
  • 46. Right after placing the order, your Criterion is very low. You expect a “Correct Rejection,” where you don’t hear anything and nothing is at the door. This criterion increases risks of “Misses,” though. If they miraculously try to deliver a pizza 5 minutes after you call, you might not hear them ringing your doorbell!
  • 47. However, 40 minutes later, your Criterion changes to high sensitivity. You want pizza! You want a “Hit,” but that also risks “False Alarms,” or thinking you hear a doorbell when there really was none.
  • 48. What you expect, what you are doing, and how much you care about detecting the stimulus matters! Perception is subjective.
  • 49. Main Point 2. Perception is SUBJECTIVE, not absolute. Different people can select, organize, and interpret the same stimulus differently. The same person can select, organize, or interpret the same stimulus differently on different occasions.
  • 50. These ideas can be implemented and controlled in cockpit design, pilot training, and FAA regulations. Human Factors Engineering is an Applied field where Psychologists and other professionals use these ideas. Other situations do not have such extreme oversight, but lives are still at stake…
  • 51. Example in Nursing Alarm Fatigue Nurses constantly hear alarms going off during their jobs. Low battery alerts, I/V alerts, monitor alerts… The beeps, buzzes, and alarms each day can number in the 100s. The problem is that some of these are trivial and others are life threatening.
  • 52. Example in Nursing Situation: a nurse needs to hear a life threatening alarm Signal Detection Theory The loudness, pitch, and timbre of the alarm matters The “noise” in this case is all of the other beeps, blips, buzzes, and low priority alarms going off The decision criterion is the nurse’s attentiveness and focus on the alarms
  • 53. Example in Nursing Situation: a nurse needs to hear a life threatening alarm Possible Outcomes Hit– Nurse hears alarm, emergency response started Correct Rejection – Nurse hears no alarm, nothing is wrong False Alarm – Nurse “hears” alarm, emergency response started unnecessarily: wastes resources, time, and money. Is embarrassing… Miss– Nurse hears no alarm, a person suffers, or worse…
  • 54. Example in Nursing The problem is that the diverse cacophony of alarms can lead to a criterion that looks like this:
  • 55. Example in Nursing Getting used to not reacting to alarms (Correct Rejections) leads to an increase risk of Misses.
  • 56. Example in Nursing Unfortunately, there are many manufacturers of equipment. Each hospital may have various models of equipment, all with different alarms. Different departments in the same hospitals have different systems… There is no equivalent to the airline manufacturer who designs everything in a cockpit to work together, with FAA oversight. Finding a solution needs applied research. Psychology is essential.
  • 57. Summary In this slideshow, we used several topics from your text to introduce sensation and perception. Psychologists who study sensation and perception can be basic researchers or applied researchers. Sometimes basic research (spending years studying how people notice differences between sounds) can become essential for applied research.
  • 58. Summary You read examples of Thresholds and Just Noticeable Differences From this, we illustrated the first main point: There is variability in sensation. For different stimuli, sensation is relative. Then you read a descriptions of examples of using Signal Detection Theory From this, we illustrated the second main point: Perception is subjective, not absolute