Presentation is loading. Please wait.

Presentation is loading. Please wait.

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

Similar presentations


Presentation on theme: "Paul Cairns paul.cairns@york.ac.uk ARMH: Fitts’ Law Paul Cairns paul.cairns@york.ac.uk."— Presentation transcript:

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

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

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

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

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

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

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

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

9 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

10 Deconstructing Fitts Ecological validity Construct validity
ARMH: Fitts' Law

11 What Fitts did: W D ARMH: Fitts' Law

12 Let’s have a go! ARMH: Fitts' Law

13 What we apply it to: ARMH: Fitts' Law

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

15 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

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

17 Toolbars This is annoying not useful ARMH: Fitts' Law

18 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

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

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

21 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

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

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


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

Similar presentations


Ads by Google