?.

Slides:



Advertisements
Similar presentations
Cognitive Systems, ICANN panel, Q1 What is machine intelligence, as beyond pattern matching, classification and prediction. What is machine intelligence,
Advertisements

Artificial Intelligence
An Introduction to Cognitive Psychology
Year 11 Psychology – UNIT 1 Area of Study 1 Revision!
Ok, so not quite 3 hours – just a (VERY BRIEF) – History of Psychology
Psych 101 for Designers Interaction Design. Interaction Design is about people first. What motivates people? How do people think? How do people behave?
Perception Chapter 4.
Thinking About Psychology: The Science of Mind and Behavior Charles T. Blair-Broeker Randal M. Ernst.
Perception and Attention. Information Processing Model  models human thought like its a computer.
Next Tuesday Read article by Anne Treisman. Moving from Perception to Cognition You will now find chapters in the Cognition textbook on reserve to be.
Cognitive Processes PSY 334 Chapter 3 – Attention July 8, 2003.
Cognitive Processes PSY 334 Chapter 2 – Perception June 30, 2003.
1 3 Processes of Pattern Recognition Sensation – you have to detect or see the pattern Perception – you have to organize the features into a whole Memory.
Cognitive Processes PSY 334 Chapter 1 – The Science of Cognition.
Pattern Recognition Pattern - complex composition of sensory stimuli that the human observer may recognize as being a member of a class of objects Issue.
Visual Cognition II Object Perception. Theories of Object Recognition Template matching models Feature matching Models Recognition-by-components Configural.
Overview and History of Cognitive Science
Overview and History of Cognitive Science. How do minds work? What would an answer to this question look like? What is a mind? What is intelligence? How.
Chapter Four The Cognitive Approach I: History, Vision, and Attention.
The Cognitive Approach I: History, Vision, and Attention
Cognitive Processes PSY 334 Chapter 2 – Perception.
Cognitive Processes PSY 334 Chapter 2 – Perception.
The History and Methods of Cognitive Psychology. What is Cognitive Psychology? The branch of psychology that studies how we perceive, attend, recognize,
1B50 – Percepts and Concepts Daniel J Hulme. Outline Cognitive Vision –Why do we want computers to see? –Why can’t computers see? –Introducing percepts.
Psy 260: Survey in Cognition and Perception Dr. Susan Brennan.
Information Processing Approach Define cognition and differentiate among the stage, levels-of-processing, parallel distributed processing, and connectionist.
Introduction to Cognitive Psychology and Information Processing
MIND: The Cognitive Side of Mind and Brain  “… the mind is not the brain, but what the brain does…” (Pinker, 1997)
C. 2008, Pearson Allyn & Bacon Introduction to Cognition Chapter 1.
Computational Perception Li Liu. Course 10 lectures 2 exercises 2 labs 1 project 1 written examination.
Psychology What is it? Unit 1 Lesson 1. Overview 1.Roots of Modern Psychology 2.Perspectives on Psychology.
Artificial Intelligence Introductory Lecture Jennifer J. Burg Department of Mathematics and Computer Science.
Cognitive Processes PSY 334 Chapter 3 – Attention April 14, 2003.
Perceptual Processes: Visual & Auditory Recognition Dr. Claudia J. Stanny EXP 4507 Memory & Cognition Spring 2009.
The human 3 of 3 1 Lecture 4 chapter 1 the human 3 of 3.
Cognitive Psychology: Thinking, Intelligence, and Language
The human 3 of 3 U2Mvo&feature=player_embedded the human 3 of 31.
Psych 435 Attention. Issues Capacity –We can’t respond to everything in the environment –Too many pieces of information –we can only actively respond.
Information: Perception and Representation Lecture #7 Part A.
Copyright © Allyn & Bacon 2007 Chapter 1 Introduction and History of Psychology.
Lecture 4 – Attention 1 Three questions: What is attention? Are there different types of attention? What can we do with attention that we cannot do without.
Comp 15 - Usability and Human Factors
Cognitive Processes Chapter 8. Studying CognitionLanguage UseVisual CognitionProblem Solving and ReasoningJudgment and Decision MakingRecapping Main Points.
Sensory and Working Memories Reviewing Behaviorism Information Processing Memory Test your perception—top down or bottom up.
Perception. Question of the Day Why is recognizing an object so easy for humans, but so difficult for computers?
Perceptual attention Theories of attention Early selection Late selection Resource theories Repetition blindness and the attentional blink.
Cognitive Science and Biomedical Informatics Department of Computer Sciences ALMAAREFA COLLEGES.
R.G. Bias | | Name that tune. Song title? Performer(s)? 1.
Binding problems and feature integration theory. Feature detectors Neurons that fire to specific features of a stimulus Pathway away from retina shows.
Fig61. Fig62 Fig5_14 InRev5a InRev4bInRev2a PRINCIPLES OF PERCEPTUAL ORGANIZATION AND CONSTANCY Certain objects or sounds are automatically identified.
Chapter 3: Sensation and Perception Sensation: activity of receptor organs Perception: interpretation of sensory system activity Visual system organization:
3:01 PM Three points for today Sensory memory (SM) contains highly transient information about the dynamic sensory array. Stabilizing the contents of SM.
Introduction to Artificial Intelligence CS 438 Spring 2008.
Cognitive Psychology. Overview What is Cognitive Psychology? Study of HOW the mind works, not WHY we do what we do Focuses on the day-to-day functions.
Psych 335 Attention. Issues Capacity –We can’t respond to everything in the environment –Too many pieces of information –we can only actively respond.
The Process of Forming Perceptions SHMD219. Perception The ability to see, hear, or become aware of something through the senses. Perception is a series.
Selective Attention
Copyright 2006 John Wiley & Sons, Inc Chapter 5 – Cognitive Engineering HCI: Developing Effective Organizational Information Systems Dov Te’eni Jane Carey.
Perception  How do we define it? How we recognize and interpret stimuli How we recognize and interpret stimuli Top down processing… Top down processing…
Overview of Artificial Intelligence (1) Artificial intelligence (AI) Computers with the ability to mimic or duplicate the functions of the human brain.
Cognition: Process & Representation. William James (1890), The Principles of Psychology “ " as one great blooming, buzzing confusion” (pp 462)
SIE 515 The Human Brain vs. The Computer
Cognitive Processes PSY 334
Ψ Cognitive Psychology Spring Discussion Section-
Dr.safeyya Adeeb Alchalabi
Cognitive Processes PSY 334
Cognitive Processes PSY 334
Artificial Intelligence Lecture 2: Foundation of Artificial Intelligence By: Nur Uddin, Ph.D.
Cognitive Processes PSY 334
Chapter 7 - Visual Attention
Presentation transcript:

?

Subject: Spørsmål Date sent: Fri, 12 Mar 2004 09:38:02 +0100 From: <ingerid-julia.rodseth@edbtelesciences.com> To: <sprakrad@sprakrad.no> Hei! Hva er riktig å si når man ønsker å bestille 2 pølser, og pølsene skal ligge i hver sin lompe? Jeg bestilte 2 "pølse-med-lompe". Så ble jeg opptatt med noe annet, men da jeg åpnet posen oppdaget jeg det: Jeg hadde riktignok fått 2 pølser, men de lå i samme lompe! Hva burde jeg ha sagt? Jeg skal holde en forelesning klokken 16.00 i dag, og tenkte å bruke "pølse-med-lompe"-paradokset som isbryter(!). Hadde det vært mulig å fått en uformell uttalselse innen den tid? Det hadde vært helt konge! Hilsen Ingerid Rødseth ______________________________ EDB Telecom 97013625 Svar: Det er neppe mulig å slå fast at rent språklig er det riktig å si xxx. Spørsmålet har absolutt sine praktiske og pragmatiske sider, f.eks. hva som er vanlig å si i den situasjonen, hva slags kombinasjoner som er mest solgt, hvor godt personene kjenner hverandre osv. I en samtale skal en gjerne være så presis som nødvendig, men heller ikke mer. Når én person bestiller noe, regner kanskje ekspeditøren med at bestillingen gjelder én person, og at det er nok med én lompe. Jeg er ikke helt sikker på om du sa "to ganger pølse med lompe" f.eks.? Det burde holde. Ellers skulle også "to pølser i hver sin lompe" være nokså sikkert!! Med vennlig hilsen Marit Hovdenak rådgiver Norsk språkråd (http://www.sprakrad.no) Postboks 8107 Dep, 0032 OSLO Besøk: C.J. Hambros pl. 5 Telefon: 24 14 03 50 (s.bord), 24 14 03 58 (dir.) Faks: 24 14 03 51

psychological phenomena in human computer interaction cognitive psychological phenomena in human computer interaction Ingerid Rødseth EDB Telecom

Human computer interaction Since early 80s Roots in ergonomics, World War II, MMI Multidiciplinary subject, an ideal designer should know: Cognitive psychology Ergonomics Sociology Computer science / engineering Target business Graphic design Technical writing Philosophy Etc. No general and unified theory of HCI A marriage between art and science: The arcitecture analogy A system should be useful, usable and used No longer a stepchild

OK

Modal versus modeless Buttons Behaviour

coginitive psychology- Neisser (1967): ”Cognitive Psychology refers to all process by which the sensory input is Transformed Reduced Elaborated Stored Recovered And used” Reed(1988): ”Cognition is usually defined simply as the acquisition of knowledge. However, the asquisition and use of knowledge involves many skills”. Matlin (1983): ”Cognition involves how we acquire, store, and retrive knowledge”. Ingerid Rødseth EDB Telecom

Context sensitive popup menues Selected text None selected text Focus

cognitive psychology -attempts to understand basic mechanisms governing human thoughts -is the foundation for other areas within social sciences clinical psychology (malfunctions) Social psychology (individual behaviour in groups) Political science (percuasion) Sociology (organizing groups) Linguistics (features in languages) -has been the subject for scientific research only for a little more than 100 years.

psychology history Empiricism – all knowledge come from experience (Berkely, Locke, Hume) Nativism – people are born with a great deal of knowledge (Descartes, Kant) 1879 First laboratory for cognitive psychology, Wilhelm Wundt, Leipzig, Germany Introspection: Reporting the contents of your conciousness Ca. 1920 Behaviorism (John Watson) Animal learning. No mental constructs.

Cognitive psychology-newer tradition Emerged 1950-1970 Three influences World War II, information theory, processing information, training soldiers, attention breakdown. Donald Broadbent; perception & attention Artificial intelligence, Allan Newell, Herbert Simon Linguistics, Naom Chomsky (MiT) Structure of language Ulric Neisser’s Cognitive Psychology 1967. Focused on perception and attention Cognitive science (Integrate Psychology, Philosophy, Linguistics, Neuroscience and AI) Computer simulation

information processing analyses These various approaches converged into a new approach in studying human cognition: IPA: How to process information Cognition / information processing as a set of steps Involves Perceiving stimuli Human memory Decision making Response generation

the Sternberg Paradigm (1966) judge if one specific number belongs to a set of numbers exemplifies the information prosessing theories the stimuli has to be compared with each of the digits in the memory set the information processing stages: 9 Perceive stimulus 9=3? 9=9? Make decision Generate response 9=6?

other approaches The ecological approach: Cognition can be understood as the response to a relevant structure of the environment Situated cognition: The social environment Physiology: Why not just study people’s brains while they do mathematics?! (100 Billion nerve cells in the brain) The computer has been an influential analogy for understanding the human mind. High level languages are translated into lower level statements to be executed in the computer. One gets a good understanding by knowing the high level languages. AI: If X is married to Y and is the mother of Z, then Y is likely to be the father of Z. Symbols and rules Cognitive neuroscience

Good user interfaces versus bad user interfaces (visuality/mapping/feedback) MS applications / Apple Mobile phones Cars Doors Wash Machines Lego Video Machines Faucets Elevators

the nervous system nervous system: Brain+various sensory systems that gather information from parts in the body neuron: Cell that accumulates and transmits electricity, rate of firing cognition: Patterns of neural activity neurons responds to specific features of a stimulus, but not one single purpose not dual value as in computers 0 – 1 brain codes information redundantly, pattern is not lost even if cells are missing

The brain Seperate function areas in left and right brain parts Left: Linguistic/analytic Right: Perceptual/spatial Central nervous system: brain+spinal chord Right part of the body connected to the left hemisphere and opposite Hemispheres are connected with a broad band of fibers (corpus callosum)

Connectionism Conncting basic neural elements for achieving higher-level cognition PDP Parallel Distributed Processing (connectionist model by McClelland and Rumelhart)

Perception How to recognize what we encounter? Pattern recognition Interpretation of information Visual agnosia (dont recognize visual objects, but can recognize the same object from smell we, feel or sound) Two faces: Extraction and recognition

Visual Information Perception Light passes through the lens Falls on the retina Light is converted into neural energy through a photochemical process The information progresses by various neural tracks to the visual cortex On-off cells Bar detectors 3D Texture gradient Smaller is further away Objects closely packed togehter Stereopsis (two eyes, slightly different views) Motion Parallax (close objects move faster)

Object-Centered Perception Gestalt Principles of Organization (Wertheimer 1912) Proximity; Elements close together Elements that look alike Good continuation Closure and good form Smallness Sorroundness

Visual Pattern recognition Template Matching, retinal image transmittted to the brain, finding a correspondance between a pattern and a stimuli What about nonstandard letters? Feature analysis Separateley recognize the features that make a pattern, for instance a letter Object recognition Familiar objects can be seen as a known configuration of simple components 36 basic categories of sub-objects (geons)

Speech recognition Gaps? Continous speech stream Phonemes, basic vocabulary of speech sound (school consists of the phonemes [s] [k] [ú] [l] Feature analysis of speech Consonantal feature Voicing, sip versus zip Place of articualtion, [f] [v] bottom lip pressed agains front teeth Categorical perception, perceive phonemes as coming from different categories even when they differ on a single continous dimension. [p] [b] (Studdart-Kennedy 1976)

Context and Pattern Recognition T E C T Selfridge 1955 Top-down processing, high level general knowledge contributes to the interpretation WOR...  WORD, WORK, WORN, WORM WORD *eel on the shoe *eel on the orange *eel on the axle

We don’t know what we are talking about Hva er en snabel? Nese?

Navigasjonsmodell, prototyping

Attention and performance Human information processing system is a limited resource system Attetention: The allocation of the processing resources Broadbent (1958) The Filter Theory (bottleneck, two messages, one in each ear) Erikson & StJames (1986): The Spotlight Metaphor (Attention in certain angles) Neisser & Becklen (1976): Two films over another Attenuation theory Switch attention after context Late selection theory Selects after perceiving Available for a short time

Memory Sensory, short term (work, +-7), long term (events, skill) Information that are not attended will rapidly be lost Sperling (1960): Partial-report procedure versus Whole-report-procedure. Equal result X M J R C N K P V F L B Treisman & Gelade (1980): Feature information must be in the focus of attention in order to for it to be syntesized into a pattern (recognise T’s) Iconic, echoic and haptic memory Constantly overwritten

Short-term memory or working memory Long-term memory Sensory memories Short-term memory or working memory Long-term memory Attention Rehearsal

Automaticity The more a process has been practiced, the less atttention it requires Examples of automated processes (requires little (none?) attention) Examples of controlled processes (requires attention) Schneider & Shifffrin: The amount of time to search for a target in a visual display depends on the degree of automaticity achieved in discrimi- nating that target from the distractors (e.g. Numbers from letters) The Stroop Effect: Difficult to stop automatic processing from executing

The Stroop Effect, Dunbar & MacCleod (1984): RØD GRØNN GUL BLÅ GRØNN SORT HVIT RØD BLÅ GUL ROSA BLÅ LILLA GRØNN RØD BLÅ TURKIS RØD ORANGE HVIT GRØNN BRUN BLÅ GUL

The Stroop Effect, Dunbar & MacCleod (1984): 5 5 5 1 1 1 1 2 3 3 3 3 3 4 4 5 5 5 4 4 4 4 4 6 6 6 6

Dual Task Performance Depends on how automated processes are Play piano and sing When a person must make two responses in close succession, the second response can be delayed and interfered with by the first response. Single resource versus the multiple resource theory – different processing resources. William James (1890): ”Everybody knows what attention is. It is the taking possesion by the mind, in a clear and vivid form, of one out of several simultaneously possible objects or trains of thought. Focalization, concentration of conciousness are of its essence. It implies withdrawel from some things in order to deal effectively with others.”

Reasoning ( deductive, inductive, abductive) Inferring information from what we already know Conclusions follow from their premises Modus ponens A כּ B A B A כּ B ~ A ~ B De som har gått lederkurs, blir gode ledere. Oddmar har gått lederkurs. Oddmar er en god leder. De som har gått lederkurs, blir gode ledere. Oddmar har ikke gått lederkurs. Oddmar er ikke en god leder.

Problem solving Letter on one side, number on the other If a card has a vowel on one side of the card, it has an even number on the other. E K 4 7 Finding a solution to an unfamiliar task Behaviorists: Responses of trial and error Gestalt: Reuse of knowledge and insight Newall and Simon: The problem space

The way to go Put a lot of effort in the conceptual model Be humble Nothing is obvious Mapping Make things visible Recognition is easier than recall Design for users, not designers User interfaces should be designed to be invisible Stribe for automated processes Design for errors Standardize Give feedback The limited resource of our attention should be used for problemsolving, not for struggeling with the system