“Laws” of Human Performance

Slides:



Advertisements
Similar presentations
M. De Cecco - Lucidi del corso di Measurement Systems and Applications Force Panel Measurement of Human Dexterity.
Advertisements

___________________________________________________________________________________________________ SCHOOL OF INTERACTIVE ARTS + TECHNOLOGY [SIAT] |
Introduction to Computer Input Devices and Their Evaluation Shumin Zhai IBM Almaden Research Center.
Remembering to decide: discrimination of temporally separated stimuli (selecting the best apple) Paul Miller Brandeis University.
1 User-Centered Design CSSE 376, Software Quality Assurance Rose-Hulman Institute of Technology April 17, 2007.
QUASID – Measuring Interaction Techniques Karin Nieuwenhuizen.
1 CS 544 Human Abilities Human Motor Capabilities Acknowledgement: Some of the material in these lectures is based on material prepared for similar courses.
Fitts’ Law and the Model Human Processor
Topic: Fitts' Law Lawrence Fyfe CPSC 681. Fitts' Law Formula: ID (index of difficulty) = log 2 (D/W +1) Soukoreff R.W., MacKenzie I.S., Towards.
Instructor: Vincent Duffy, Ph.D. Associate Professor of IE Lecture 7 – Displays & Controls Tues. Feb. 6, 2007 IE 486 Work Analysis & Design II.
Control processes The kinds of mental processes carried out on a memory 3 main types –Encoding processes –Retention processes –Retrieval processes.
CS160 Discussion Section Fitts Law and KLM David Sun Sept 26 th 2007.
People & Devices: (Inputs & Outputs) Startlingly small child using computer History of human-computer interaction Another history video.
PSY 369: Psycholinguistics Cognitive Psychology. It is the body of psychological experimentation that deals with issues of human memory, language use,
Objectives Define predictive and descriptive models and explain why they are useful. Describe Fitts’ Law and explain its implications for interface design.
Predictive Evaluation Predicting performance. Predictive Models Translate empirical evidence into theories and models that can influence design. Performance.
Fitts’ Law Rob Diaz-Marino. Overview  The Basics Who invented it? Who invented it? What does it model? What does it model? How is it used in HCI? How.
Series Recognition Karla Roberts Amanda Ernstberger Rachel Yates Hanover College.
Predictive Evaluation Simple models of human performance.
Discussion Silvia Lindtner INF 132 April 07. Fitts’ law - recap A predictive model of time to point at an object Help decide the location and size of.
Parkinson’s Test Device Development Erin Sikkel and Tiffany Feltman.
Human Factors for Input Devices CSE 510 Richard Anderson Ken Fishkin.
Engineering Design Centre Project Updates –August 2014.
Chapter 5 Models and theories 1. Cognitive modeling If we can build a model of how a user works, then we can predict how s/he will interact with the interface.
F ITTS ’ L AW ○A model of human psychomotor behavior ○Human movement is analogous to the transmission of information ○Movements are assigned indices of.
Chapter 6 : Memory Michael L. Farris Psychology 101.
Design of the Data Input Structure for a Mouse Movement Biometric System to Authenticate the Identity of Online Test Takers Handling artificial acceleration.
Understanding Movement Preparation
User Models Predicting a user’s behaviour. Fitts’ Law.
Human Control of Systems Tracking Tasks Human Performance Considerations Measuring Tracking & Controlling Performance System Behaviors Representing System.
1 Brief Review of Research Model / Hypothesis. 2 Research is Argument.
RMH: Fitts’ Law Paul Cairns
Stanford hci group / cs October 2008 Inp ut Scott Klemmer.
Human Factors Issues Chapter 9. Human Factors = ergonomics WWII based – military significance… … a necessary part of medical device design…
Copyright © 2008 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Prof Jim Warren with reference to sections 7.4 and 7.6 of The Resonant Interface.
COSC 3461: Module 9 A Principle of UI Design (revisited)
Division of Information Management Engineering User Interface Laboratory A Model for Movement Time on Data-entry Keyboards Colin G. Drury And Errol R.
© Simeon Keates 2009 Usability with Project Lecture 14 – 30/10/09 Dr. Simeon Keates.
ITM 734 Introduction to Human Factors in Information Systems
Evaluation Using Modeling. Testing Methods Same as Formative Surveys/questionnaires Interviews Observation Documentation Automatic data recording/tracking.
What is Life/Scientific Method Quiz. Memory And Studying.
Cognitive Models Lecture # March, 2008Human Computer Intercation Spring 2008, Lecture #10 2 Agenda Cognitive models –KLM –GOMS –Fitt’s Law –Applications.
1. INTODUCTION ○A model of human psychomotor behavior ○Human movement is analogous to the transmission of information ○Movements are assigned indices of.
USER INTERFACE USER INTERFACE January 5, 2006 Intern 박지현 Information Theoretic Model of HCI : A Comparison of the Hick-Hyman Law and Fitts’ Law Steven.
1 1 ITM 734 Introduction to Human Factors in Information Systems Cindy Corritore This material has been developed by Georgia Tech HCI.
Pen Based User Interface Issues CSE 490RA January 25, 2005.
HSP 3U0.  Memory is defined as: the mental faculty of retaining and recalling past experience.  Our 5 senses (what are they?)  Help us to receive and.
Working Memory & Pupil Performance Dr Richard Skelton Child & Educational Psychologist.
HUMAN MEMORY stage theory: Long Term and Short Term Memory -(note: Short Term Memory = "Working Memory") duration Long Term Memory: relatively permanent.
Sc.D. Dissertation Proposal Presentation Martin J. Schedlbauer
COMPSCI 747 Cognitive Load Theory

Get into groups of 4 & spread out!
3 STAGES OF MEMORY.
Experimental Psychology PSY 433
I need to use which graph?
Chapter 2 Human Information Processing
Copyright Catherine M. Burns
Equilibrium Point Hypothesis (EPH)
Input Techniques Jeffrey Heer · 14 May 2009.
Limitations for manual and telemanipulator-assisted motion tracking—implications for endoscopic beating-heart surgery  Stephan Jacobs, MD, David Holzhey,
HCI for Pen Computing CSE 481b January 24, 2006.
Principles of Motor Control and Movement Accuracy
Short-term Memory Notes (based on photocopies from class on Sept. 14)
Fitts’s Law Incredibly professional presentation by Thomas Gin, someone please hire me.
Experiment 1 Miller (56) Capacity of STM 2-3 lessons + Home Study
Memory 1st studied experimentally by Hermann Ebbinghaus.
Paper 1 Introductory Topics in Psychology Memory
Presentation transcript:

“Laws” of Human Performance ECE 695 Alexander J. Quinn January 24, 2018

Miller’s Law Memory span is limited to 7 ± 2 chunks “Memory span” is the number of items a person can remember for short periods of time and repeat back correctly “Chunks” are the mental units we use to remember things. You saw this previously in the Model Human Processor paper.

Miller’s Law 765 494 3483 ↓ 765 494 3 4 8 3

(depends on the person) Miller’s Law 346 789 2102 ↓ ???? (depends on the person)

Miller’s Law relates to short-term memory (Memorizing digits of PI is long-term memory.) Miller’s Law 3.14159265358979323846264338327950288419716939937510582097494459230781640628620899862803482534211706798214808651328230664709384460955058223172535940812848111745028410270193852110555964462294895493038196442881097566593344612847564823378678316527120190914564856692346034861045432664821339360726024914127372458700660631558817488152092096282925409171536436789259036001133053054882046652138414695194151160943305727036575959195309218611738193261179310511854807446237996274956735188575272489122793818301194912983367336244065664308602139494639522473719070217986094370277053921717629317675238467481846766940513200056812714526356082778577134275778960917363717872146844090122495343014654958537105079227968925892354201995611212902196086403441815981362977477130996051870721134999999837297804995105973173281609631859502445945534690830264252230825334468503526193118817101000313783875288658753320838142061717766914730359825349042875546873115956286388235378759375195

Short-term memory (not long-term) Chunks may be person-specific Miller’s Law Short-term memory (not long-term) Chunks may be person-specific May vary depending on… kind of chunk age person trial

How long does it take to choose among n choices? Hick’s Law How long does it take to choose among n choices? Credit: https://www.zomato.com/toronto/five-guys-brampton-gta/menu

Hick’s Law dbultiores utiongernh iterephyar hervajoycl ailludietf liginaterr ydompefula andrefusen mpustinicu calorincus aryondiend onteredrax dibloganto coliterity oureashall larithanex ctaindroar rashinesgr lopremites egookerlin riveyeator oryphardic endesomale somporthem rcillouste fertiveruc sycedreadl rflethochn groafterig triyanatep trisopanam ialtsonett untibberna Credit: https://www.zomato.com/toronto/five-guys-brampton-gta/menu

Hick’s Law kadandicon minianetil nobsonoedy opoilimpad rfressisha scantontra Credit: https://www.zomato.com/toronto/five-guys-brampton-gta/menu

Hick’s Law for making choices 𝑅𝑇=𝑎+𝑏 log⁡(𝑛) RT is the the reaction time to make a choice a, b depends on the type of task and is determined experimentally n is the number of choices

Hick’s Law Credit: https://www.zomato.com/toronto/five-guys-brampton-gta/menu

Fitts’ Law A W

W A Fitts’ Law Credit: Paul M Fitts, Journal of Experimental Psychology, Vol 47 No 6, June 1954

W A Fitts’ Law 𝑀𝑇=𝑎+𝑏 log 2 2𝐴 𝑊

𝑀𝑇=𝑎+𝑏∙𝐼𝐷 𝐼𝐷= log 2 2𝐴 𝑊 Fitts’ Law MT is the average time to point to a task a, b depend on the input device and are determined experimentally ID is the index of difficulty for a target 𝐼𝐷= log 2 2𝐴 𝑊

𝐼𝐷= log 2 2𝐴 𝑊 Fitts’ Law ID is the index of difficulty for a target A = amplitude (distance to move) W = width, relative to the axis of motion 2 is to ensure that the ID is always positive

W A Fitts’ Law, derivation In time duration t, you move a fixed proportion (1-r) of the remaining distance After 1t, the distance remaining is rA. After 2t, the distance remaining is r2A. After nt, the distance remaining is rnA. Solve for n. 𝑟 𝑛 𝐴= 𝑊 2 𝑛= log 𝑟 𝑊 2𝐴 𝑛= 1 log 2 𝑟 log 2 𝑊 2𝐴 𝑛= 1 log 2 𝑟 − log 2 2𝐴 𝑊 n is the number of time steps needed to complete the full movement. Credit: http://www.inf.ed.ac.uk/teaching/courses/hci/1011/lecs/fitts.pdf

See resources page on web site More… Power Law of Practice Forgetting curve Sensitivity to delay See resources page on web site