Tovi Grossman, Ravin Balakrishnan Dep. of Computer Science Univ. of Toronto CHI 2004.

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.
Cross-modal perception of motion- based visual-haptic stimuli Ian Oakley & Sile OModhrain Palpable Machines Research Group
Android UserInterfaces Nasrullah Niazi. overView All user interface elements in an Android app are built using View and ViewGroup objects. A View is an.
Copyright © Allyn & Bacon (2007) Single-Variable, Independent-Groups Designs Graziano and Raulin Research Methods: Chapter 10 This multimedia product and.
Cambridge, Massachusetts Perception of Elementary Graphical Elements in Tabletop and Multi-Surface Environments Daniel Wigdor, Chia Shen, Clifton Forlines,
Example-Based Fractured Appearance L. Glondu, L. Muguercia, M. Marchal, C. Bosch, H. Rushmeier, G. Dumont and G. Drettakis.
Hover Widgets: Using the Tracking State to Extend the Capabilities of Pen-Operated Devices Adaptive Systems and Interaction Research Group Microsoft Research.
Towards Efficient Wavefront Parallel Encoding of HEVC: Parallelism Analysis and Improvement Keji Chen, Yizhou Duan, Jun Sun, Zongming Guo 2014 IEEE 16th.
Design for families Rikard Harr November 2010 © Rikard Harr Outline Short on: Participatory design Short on: Ubiquitous computing and the modern.
How to improve group performances on collocated synchronous manipulation tasks? Jean Simard, Mehdi Ammi and Anaïs Mayeur CNRS-LIMSI, University of Paris-Sud.
Multi-Modal Text Entry and Selection on a Mobile Device David Dearman 1, Amy Karlson 2, Brian Meyers 2 and Ben Bederson 3 1 University of Toronto 2 Microsoft.
The percept of visual verticality during combined roll-pitch tilt Maurice Dahmen Student medical biology December 2006-July 2007 Supervisors: Maaike de.
Precise Selection Techniques for Multi-Touch Screens Hrvoje Benko Andy D. Wilson Patrick Baudisch Columbia University and Microsoft Research CHI 2006.
Design of icons for use by Chinese in Mainland China Interacting with computers 9(1998) Yee-Yin Choong, Gavriel Salvendy Report: Yang Kun, Ou.
Effective Reinforcement Learning for Mobile Robots Smart, D.L and Kaelbing, L.P.
Kinetic Rules Underlying Multi-Joint Reaching Movements. Daniel M Corcos†, James S. Thomas*, and Ziaul Hasan†. School of Physical Therapy*, Ohio University,
1 CS 544 Human Abilities Human Motor Capabilities Acknowledgement: Some of the material in these lectures is based on material prepared for similar courses.
TAUCHI – Tampere Unit for Computer-Human Interaction Manual Text Entry: Experiments, Models, and Systems Poika Isokoski Tampere Unit for Computer-Human.
Attribute Gates Ahmed Sulaiman & Patrick Olivier Culture Lab, Newcastle University, UK.
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.
Evaluating Non-Visual Feedback Cues for Touch Input Device Selina Sharmin Project for the course New Interaction Techniques Spring.
Ravin Balakrishnan Physics, projection, piles, and pens: user interfaces in the post GUI era.
Chapter 9 Introduction to Arrays
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.
A Visual Language for Sketching Large and Complex Interactive Designs Michael Thomsen University of Aarhus G r o u p f o r User Interface Research University.
CMSC 104, Version 9/01 1 The Box Problem: Write an interactive program to compute and display the volume and surface area of a box. The program must also.
Collective Mistrust of Alarms James P. Bliss, Ph.D. Susan Sidone Holly Mason Old Dominion University.
Studying Visual Attention with the Visual Search Paradigm Marc Pomplun Department of Computer Science University of Massachusetts at Boston
Chapter 6 The Normal Probability Distribution
The Effect of a Prism Manipulation on a Walking Distance Estimation Task Jonathan Giles Beverley Ho Jessica Blackwood-Beckford Aurora Albertina Dashrath.
Two Handed and Gaze Input Stanford and Princeton Lecture Nov 29, 1999 Shumin Zhai.
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-
RMH: Fitts’ Law Paul Cairns
Interacting with IT Systems Fundamentals of Information Technology Session 5.
{ Building Blocks Scientific foundations for Interface Design HCI Remixed “Chapter 47: A Most Fitting Law” Presented by Sarah Deighan.
===!"§ Deutsche Telekom Laboratories Target Acquisition with Camera Phones when used as Magic Lenses CHI 2008, Florence, Italy, April 9, 2008 Michael Rohs.
Exploring and Reducing the Effects of Orientation on Text Readability in Volumetric Displays Tovi Grossman Daniel Wigdor Ravin Balakrishnan.
Snap-and-go helping users align objects without the modality of traditional snapping patrick baudisch ed cutrell ken hinckley adam eversole microsoft research.
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.
Relevance Feedback in Image Retrieval Systems: A Survey Part II Lin Luo, Tao Huang, Chengcui Zhang School of Computer Science Florida International University.
Division of Information Management Engineering User Interface Laboratory A Model for Movement Time on Data-entry Keyboards Colin G. Drury And Errol R.
Tangible Bots: Interaction with Active Tangibles in Tabletop Interfaces Esben Warming Pedersen & Kasper Hornbæk Department of Computer Science, University.
Navigation and orientation in 3D user interfaces: the impact of navigation aids and landmarks Author: Avi Parush, Dafna Berman International journal of.
Cognitive Modeling / University of Groningen / / Artificial Intelligence |RENSSELAER| Cognitive Science CogWorks Laboratories › Christian P. Janssen ›
Multiview Drawing A multiview drawing is one that shows two or more two-dimensional views of a three- dimensional object. Multiview drawings provide the.
Modeling Visual Search Time for Soft Keyboards Lecture #14.
Design of On-Demand Analysis for Cloud Service Configuration using Related-Annotation Hyogun Yoon', Hanku Lee' 2 `, ' Center for Social Media Cloud Computing,
Panorama Space Modeling Method for Observing an Object Jungil Jung, Heunggi Kim, Jinsoo Cho Gachon Univ., Bokjeong-dong, Sujeong-gu, Seongnam-si, Gyeonggi-do,
Advanced Science and Technology Letters Vol.106 (Information Technology and Computer Science 2015), pp.17-21
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 York University – Department of Computer Science Writing a Research Paper Scott MacKenzie York University.
Empirical Investigation into the Effect of Orientation on Text Readability in Tabletop Displays Daniel Wigdor Ravin Balakrishnan Presented at ECSCW, Paris,
Korea University User Interface Lab Copyright 2008 by User Interface Lab Human Action Laws in Electronic Virtual Worlds – An Empirical Study of Path Steering.
Factors influencing the usability of icons in the LCD touch screens Hsinfu Huang, Wang-Chin Tsai, Hsin-His Lai Department of Industrial Design, National.
Transitioning from Implicit to Explicit, Public to Personal, Interaction with Multiple Users Daniel Vogel, Ravin Balakrishnan Department of Computer Science.
DO IN-VEHICLE ADVANCE SIGNS BENEFIT OLDER AND YOUNGER DRIVER INTERSECTION PERFORMANCE? Professor: Liu Student: Ruby.
Programming in Alice IT-IDT-9 Design, develop, test and implement programs using visual programming. 9.1 Utilize drag and drop software to develop programs.
Outline Introduction Related Work System Overview Methodology Experiment Conclusion and Future Work.
Tuesday 3:15-4:30. Homework Check pp
J Mehlferber MFA, PhD, T Millard PT DPT, Brittany Brady Departments of Visual Arts and Physical Therapy, University of North Georgia Results demonstrate.
Sc.D. Dissertation Proposal Presentation Martin J. Schedlbauer
Paul Cairns ARMH: Fitts’ Law Paul Cairns
Eye Tracker Performance Evaluation with ISO 9241 – Point and Click by Blinking and Dwelling Student: Matthew Conte Superviser: Prof Scott MacKenzie CSE.
Homework: Study Over Notes
Input Techniques Jeffrey Heer · 14 May 2009.
Team # Member1, Member2 Assistant
Presentation transcript:

Tovi Grossman, Ravin Balakrishnan Dep. of Computer Science Univ. of Toronto CHI 2004

Introduction Background Goals and Directions of the Current Study Experiment Implications for User Interface Design Conclusion

Advances in three dimensional display technology Appropriate user interfaces : easily select and manipulate virtual elements in the 3D display space. They studied and modeled user performance in the most fundamental interaction task – pointing – in a 3D display. Contents of paper  review previous work on pointing and Fitts’ law models in 1D and 2D  identify various factors and interactions between them in 3D pointing  propose several mathematical models  controlled experiment  Implications for user interface design

Fitts’ law  One dimension  Two dimension (Mackenzie and Buxton, 1992)  Accot and Zhai (2003) : A weighted Euclidean model  Ware et al. (1994, 1997) : 3D model, similar to 2D model A W A W H

Experimental Hardware Platform : volumetric display was used Manipulation of Experimental Parameters  Target dimension : W, H, D  Movement angle : Ө  uses a approach angle of 0° Modeling  First baseline model & Weighted model  Weighted Euclidian model  Incorporating f( Ө ) into the ID Wtmin model  Incorporating f( Ө ) into the ID WtEuc model

Apparatus Participants  5 female and 7 male, ages from 20 to 25 Procedure : cuboids target, XZ plane, 3D cursor Design  A(3) Ⅹ H(4) Ⅹ W(4) Ⅹ D(4) Ⅹ angle(3) = 576 combinations, 3 sessions, random order  6 reciprocal movements, 2 practices, 6 groups, 1 hour per each session Performance measure  Movement time, number of errors per trial

Movement time analysis  Main effect : all had a main effect on MT (angle : 0, 45, 90)  Effect of movement direction : no effect  Interactions (Ө ↔ W, D, H) : no H Ⅹ θ → targets were located in the XZ plane  Relative effect of target dimensions : Figure 4e  Interactions betw. target dimensions : Figure 5

Movement time analysis  Main effect : all had a main effect on MT (angle : 0, 45, 90)  Effect of movement direction : no effect  Interactions (Ө, W, D, H) : no H Ⅹ θ  Relative effect of target dimensions  Interactions betw. target dimensions

Movement time analysis  Fit of the models Error analysis : effects for D,H,W, no effect for A, error rate 15.7%, 0.04 units → error ↑ “racing through the experiment”

Target sizing  target size → error rate  dimension parallel to the line of approach Target positioning  moving forward and backward → left and right  adjust the layout of the interface elements according to the position of users

A true 3D volumetric display Moving forwards and backwards in depth is slower than moving left and right for selecting targets. The target width was more critical than the height and depth of the target. The effect of the height was constant regardless of the movement angle. Accounts for varying movement angles The implications of our results for the sizing and positioning of user interface widgets in 3D displays

Accot, J., & Zhai, S., Refining Fitts' law models for bivariate pointing. ACM CHI. p , 2003 MacKenzie, S., Fitts' law as a research and design tool in human-computer interaction, Human-Computer Interaction. 7. p , 1992 MacKenzie, S., & Buxton, W., Extending Fitts’ law to two-dimensional tasks, ACM CHI. p , 1992 ※ Murata, A., Iwase, H., Extending Fitts’ law to a three-dimensional pointing task, Human Movement Science Vol 20, pp , 2001