Paul Cairns paul.cairns@york.ac.uk ARMH: Fitts’ Law Paul Cairns paul.cairns@york.ac.uk.

Slides:



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

Introduction to Computer Input Devices and Their Evaluation Shumin Zhai IBM Almaden Research Center.
Stanford hci group / cs376 u Scott Klemmer · 02 November 2006 Inpu t Techniqu es.
Experiment Design On Interacting with Mobile Devices.
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.
Attribute Gates Ahmed Sulaiman & Patrick Olivier Culture Lab, Newcastle University, UK.
Input: Devices and Theory. Input for Selection and Positioning Devices Power Law of Practice Fitt’s Law (2D, 3D lag) Eye hand coordination Two handed.
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.
CS160 Discussion Section Fitts Law and KLM David Sun Sept 26 th 2007.
Stanford hci group / cs376 research topics in human-computer interaction Gestural / Bimanual Input Scott Klemmer 29 November.
Objectives Define predictive and descriptive models and explain why they are useful. Describe Fitts’ Law and explain its implications for interface design.
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.
CSC USI Class Meeting 2 August 31, Beginnings SOP 1: 1. When you use a (physical) key-based entry device, what do you do to the keys? A.
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.
Human Factors for Input Devices CSE 510 Richard Anderson Ken Fishkin.
Tomo-gravity Yin ZhangMatthew Roughan Nick DuffieldAlbert Greenberg “A Northern NJ Research Lab” ACM.
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.
User Models Predicting a user’s behaviour. Fitts’ Law.
UNDERSTANDING USERS: MODELING TASKS AND LOW- LEVEL INTERACTION Human-Computer Interaction
Slides based on those by Paul Cairns, York ( users.cs.york.ac.uk/~pcairns/) + ID3 book slides + slides from: courses.ischool.berkeley.edu/i213/s08/lectures/i ppthttp://www-
Interaction with Surfaces. Aims Last week focused on looking at interaction with keyboard and mouse This week ◦ Surface Interaction ◦ Gestures.
RMH: Fitts’ Law Paul Cairns
Stanford hci group / cs October 2008 Inp ut Scott Klemmer.
Human-Computer Interaction (HCI)
===!"§ Deutsche Telekom Laboratories Target Acquisition with Camera Phones when used as Magic Lenses CHI 2008, Florence, Italy, April 9, 2008 Michael Rohs.
Department of Industrial Management Engineering 2. Psychology and HCI ○Hard science (ComSci) would drive out soft science (Psy)  “harden Psy” to improve.
Behaviour Models There are a number of models that predict the way in which an interface or user will behave.
IT253: Computer Organization
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.
Tovi Grossman, Ravin Balakrishnan Dep. of Computer Science Univ. of Toronto CHI 2004.
Analytical evaluation Prepared by Dr. Nor Azman Ismail Department of Computer Graphics and Multimedia Faculty of Computer Science & Information System.
Learning Analytics: Process & Theory March 24, 2014.
Cognitive Models Lecture # March, 2008Human Computer Intercation Spring 2008, Lecture #10 2 Agenda Cognitive models –KLM –GOMS –Fitt’s Law –Applications.

Matthew McDonald Supervisors: Bruce H. Thomas & Ross T. Smith.
1. INTODUCTION ○A model of human psychomotor behavior ○Human movement is analogous to the transmission of information ○Movements are assigned indices of.
Korea University User Interface Lab Copyright 2008 by User Interface Lab Human Action Laws in Electronic Virtual Worlds – An Empirical Study of Path Steering.
Special Topics in Educational Data Mining HUDK5199 Spring term, 2013 March 6, 2013.
Lecture 3: Pointing Devices and Fitts’ Law
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.
Pen Based User Interface Issues CSE 490RA January 25, 2005.
Expressive Intelligence Studio // Center for Games and Playable Media // 3D User Interfaces Using the Kinect.
A novel depth-based head tracking and facial gesture recognition system by Dr. Farzin Deravi– EDA UoK Dr Konstantinos Sirlantzis– EDA UoK Shivanand Guness.
Sc.D. Dissertation Proposal Presentation Martin J. Schedlbauer
Science - Year 3/4A Autumn 1 Investigation PowerPoint

On Models for Game Input with Delay – Moving Target Selection with a Mouse Mark Claypool Mark Claypool. On Models for Game Input with Delay - Moving Target.
Intro today class 9, IST 331, 25 sep 17-fer
Big Data, Education, and Society
شاخصهای عملکردی بیمارستان
“Laws” of Human Performance
فرق بین خوب وعالی فقط اندکی تلاش بیشتر است
Copyright Catherine M. Burns
SAP 100: Overview and Navigation
Update Proposal Status
Learning Analytics: Process & Theory
CS 522: Human-Computer Interaction Devices
Create a Grant Continuation Proposal
Input Techniques Jeffrey Heer · 14 May 2009.
A few tricks to take you beyond the basics of Microsoft Office 2007
A few tricks to take you beyond the basics of Microsoft Office
Go to =>
Bell RINGER Using these pictures and reflecting on who Janie used to be, make a one word prediction about what is to come in Chapter 13. As you read,
HCI for Pen Computing CSE 481b January 24, 2006.
The loss function, the normal equation,
Fitts’s Law Incredibly professional presentation by Thomas Gin, someone please hire me.
Testing & modeling users
Presentation transcript:

Paul Cairns paul.cairns@york.ac.uk ARMH: Fitts’ Law Paul Cairns paul.cairns@york.ac.uk

A law?!?! One of the few in HCI Predictive Reliable Valuable research tool! ARMH: Fitts' Law

Today’s objectives Fitts’ Law Theoretical basis Adaptations for HCI Implications for design ARMH: Fitts' Law

Overview Model for prediction Time to point Difficulty of target ARMH: Fitts' Law

A demo Interactive Fitts' Law talk Not quite accurate! ARMH: Fitts' Law

Fitts’ Proposed Law D 1/W a, b Log? ARMH: Fitts' Law

Theory (or Analogy?) Analogy with Shannon information Meyer’s derivation MacKenzie’s improvement ARMH: Fitts' Law

Terms Index of difficulty Throughput, IP, 1/b bits bits per second ARMH: Fitts' Law

Impact in HCI Reduce ID Compare IP Put things in edges and corners Bigger icons, more space Compare IP “Capacity” of input devices Put things in edges and corners ARMH: Fitts' Law

Deconstructing Fitts Ecological validity Construct validity ARMH: Fitts' Law

What Fitts did: W D ARMH: Fitts' Law

Let’s have a go! ARMH: Fitts' Law

What we apply it to: ARMH: Fitts' Law

Dimensionality Fitts is 1d Does 2d matter? not a lot! Better models produce better fit ARMH: Fitts' Law

Correcting for W W’ – actual cross-section Smaller of W and H Area, W x H Sum, W + H Stick with W Which is best? ARMH: Fitts' Law

Implications debunked Edges are better Corners are best Mice are non-linear anyway! ARMH: Fitts' Law

Toolbars This is annoying not useful ARMH: Fitts' Law

What remains? D/“W” is key Non-linear (concave), monotonic Target size (angle) Stopping range (proportion) Non-linear (concave), monotonic Quite possibly log function IP is meaningful a is important ARMH: Fitts' Law

Novel interactions Artificially increasing W Changing select “Sticky” buttons Bubbles Changing select Goal-crossing ARMH: Fitts' Law

Novel devices Comparing throughput Fat finger problem! touchscreens Wii Kinect (in air pointing) Eye Gaze Fat finger problem! ARMH: Fitts' Law

Thoughts on Modelling Is it a good model? Yes, it fits the data No, we don’t know why! Could we produce a better one? How? ARMH: Fitts' Law

Advanced Fitts’ Law Fitts’ law as a model Steering law Games Menu navigation VE/VR? ARMH: Fitts' Law

Reading for today MacKenzie (1992) Fitts’ Law as a Research and Design Tool…, HCI (7), 91-139 MacKenzie & Buxton (1992) Extending Fitts’ Law to 2d tasks, CHI 1992, 219-226 Interaction Design, 2nd edn Cockburn & Firth (2003) Improving the acquisition of small targets. BCS HCI 03, 181-196 Accot & Zhai (1997) Beyond Fitts’ Law… ACM CHI 97, 295-302 Bi et al (2013) FFitts Law. ARMH: Fitts' Law