1. stanford hci group / cs376 research topics in human-computer interaction http://cs376.stanford.edu Gestural / Bimanual Input Scott Klemmer 29 November 2005

2. 2 Gestural / Bimanual Input Final project papers & presentations  Final papers: 4 pages in the traditional CHI format or 6 pages in the work-in-progress format (same effective length, I suggest the latter as you can submit it to CHI WIP)  Final presentations: 4 minutes each, followed by posters/demos  There will be outside reviewers, also folks from industry will be coming

3. 3 Gestural / Bimanual Input How to write a good paper  Have a clear hypothesis  Explain design ideas, system, and eval  Read your critiques of earlier work  Compare your results to 4-5 pieces of related work  scholar.google.com is a great resource

4. 4 Gestural / Bimanual Input Milestone 2 demo times 1:30 - Deepak Kumar and David Tu 1:40 - David Akers 1:50 - Luping May, Kevin Collins, Scott Doorley 2:00 - Malte F. Jung, Howard Kao, Ravi Teja Tiruvury, Parul Vora 2:10 - Becky Currano and Murad Akhter 2:20 - Christina Chan 2:30 - Tom Hurlbutt 2:40 - Dhyanesh Narayanan 2:50 - BREAK 3:00 - Dean Eckles, Tony Tulathimutte, Tanya Breshears 3:10 - Jonathan Effrat and May Tan 3:20 - Shailendra Rao and Abhay Sukumaran 3:30 - Adam Kahn and Doug Wightman 3:40 - Brandon Burr 3:50 - Angela Kessell and Chris Chan

5. 5 Gestural / Bimanual Input Pointing Device Evaluation  Real task: interacting with GUI’s  pointing is fundamental D W  Experimental task: target acquisition  abstract, elementary, essential

6. 6 Gestural / Bimanual Input Fitts’ Law (Paul Fitts, 1954) D W Index of Performance (IP ) = ID/MT (bits/s) Throughput Bandwidth Index of Difficulty (ID ) Task difficulty is analogous to information - execution interpreted as human rate of information processing

7. 7 Gestural / Bimanual Input 50 years of data Reference: MacKenzie, I. Fitts’ Law as a research and design tool in human computer interaction. Human Computer Interaction, 1992, Vol. 7, pp. 91-139

8. 8 Gestural / Bimanual Input What does Fitts’ law really model? Veloci ty (c) (b) (a) Target Width Distance

9. 9 Gestural / Bimanual Input Using these law’s to predict performance Which will be faster on average?  pie menu (bigger targets & less distance)? Today Sunday Monday Tuesday Wednesday Thursday Friday Saturday Pop-up Linear Menu Pop-up Pie Menu

10. 10 Gestural / Bimanual Input Beyond pointing: Trajectory based tasks

11. 11 Gestural / Bimanual Input Gaming Fitts Law  The Macintosh menu bar and taskbar and the Windows XP Taskbar have “infinite height” improving their Fitts Law performance  …as does the back button in the Firefox browser

12. 12 Gestural / Bimanual Input

14. 14 Gestural / Bimanual Input Yves Guiard: Kinematic Chain  Asymmetry in bimanual activities  “Under standard conditions, the spontaneous writing speed of adults is reduced by some 20% when instructions prevent the non-preferred hand from manipulating the page”  Non-dominant hand (NDH) provides a frame of reference for the dominant hand (DH)  NDH operates at a course temporal and spatial scale; DH operates at a fine temporal and spatial scale