Understanding & Modeling Input Devices. Questions 1. How do common input devices work? 2. How can we...

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Understanding & Modeling Input Devices

Transcript of Understanding & Modeling Input Devices. Questions 1. How do common input devices work? 2. How can we...

Page 1: Understanding & Modeling Input Devices. Questions 1. How do common input devices work? 2. How can we think about the larger space of all possible input.

Understanding & Modeling

Input Devices

Page 2: Understanding & Modeling Input Devices. Questions 1. How do common input devices work? 2. How can we think about the larger space of all possible input.

Questions

1. How do common input devices work?2. How can we think about the larger

space of all possible input devices?3. Can we predict human input

performance?4. What about uncommon input

devices (multitouch, tangible interfaces, …)?

5. Will this be on the exam? Yes.

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Today’s lecture in graphic form

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I think my keyboard is broken. Whenever I have a few keys

pressed down, some keys suddenly don’t work anymore; at other times ‘phantom’ characters appear.

What’s going on?

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Keyboard

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Microprocessor and Controller

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Row/Column Scanning

9 lines and 20 keys

http://v.youku.com/v_show/id_XMTI5NjE0OTQ4.html

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Closeup

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One key down

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3 Keys Down

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Encoding keyboard: Keys conflict

C1-R1-C2-R2 3 or 4 keys Q,W,A,S

http://www.upsdn.net/html/2006-10/760.html

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A Layered Framework

From: Hartmann, Follmer, Klemmer: Input Devices are like Onions

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Mouse

Mouse. Engelbart and English ~1964

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Encoder wheel for scrollingLeft button

Right button

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IR emitter IR detector

slotted wheel (between emitter & detector)

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Sensing: Rotary Encoder

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Sensing: Fwd rotation

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Sensing: Backwd Rotation

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Solutions: Use two Out-of-Phase Detectors

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Sensing: Rotary Encoder

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Transformation

cxt = max(0, min( sw, cxt-1+dx*cd )) cyt = … cxt: cursor x (horizontal) position in

screen coordinates at time t dx: mouse x movement delta in

mouse coordinates sw: screen width cd: control-display ratio

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Device Abstraction

Click, DoubleClick, MouseUp, MouseDown, MouseMove …

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What about optical mice?

Source: http://spritesmods.com/?art=mouseeye

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Source: http://spritesmods.com/?art=mouseeye

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Trackball, Trackpad

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Trackpoint

Indirect, force sensing, velocity control

Nonlinear transfer function

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Joystick

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A design space of input devices…

Card, S. K., Mackinlay, J. D., and Robertson, G. G. 1991.A morphological analysis of the design space of input devices. ACM TOIS 9, 2 (Apr. 1991), 99-122.

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Which is faster?

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Which is faster?

Engelbart

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Experiment: Mice are fastest!

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Fitts’s law

Time Tpos to move the hand to target (size S) which is distance D away is given by:Tpos = a + b log2 (D/S + 1)

Index of Difficulty (ID) Only relative precision

matters

Exam Question Material!

Source: Landay, James. “Human Abilities”. CS160 UC Berkeley.

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Tpos = a + b log2 (D/S + 1)

Device Characteristics(bandwidth of human muscle group & of

device)a: start/stop time (intercept) b: speed (slope)

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Bandwidth of Human Muscle Groups

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Why is mouse fastest? Why these results? Time to position mouse

proportional to Fitts’s Index of Difficulty ID.

[i.e. how well can the muscles direct the input device]

Therefore speed limit is in the eye-hand system, not the mouse.

Therefore, mouse is a near optimal device.

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Fitts’s law example

Which will be faster on average? pie menu (bigger targets & less distance)

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Fitts’s law in Windows &Mac OS

The Apple menu inMac OS X v10.4 Tiger.

Windows 95: Missed by a pixelWindows XP: Good to the last drop

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In office 2007

Larger, labeled controls can beclicked more quickly

Magic Corner: Office Button in theupper-left corner

Mini Toolbar: Close to the cursor

Source: Jensen Harris, An Office User Interface Blog : Giving You Fitts. Microsoft, 2007.

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Uncommon Input Devices

Assumptions so far: Single user, working in front of a

desktop PC Main tasks are typing and pointing Efficiency rules

What if we change these assumptions? Design for enjoyment / engagement Design for multi-user scenarios

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Position+Orientation: Nitendo Wii

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Camera based input: IO Brush

Source: Kimiko Ryokai, http://web.media.mit.edu/~kimiko/iobrush/

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Multi-touch

Jeff Han, Perceptive Pixel

http://www.tudou.com/programs/view/LfwscZ1iUXc/

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Hybrids: Devices on Tables

Hartmann, Björn, Morris, M.R., Benko, H., and Wilson, A.Augmenting Interactive Tables with Mice & Keyboards. In Proceedings of UIST 2009.

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http://www.vid3o.net/view/v_AvkV286mI/uist09-augmenting-interactive-tables-with-mice-keyboards.html

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Hybrids: Multi-touch on Mice

Mouse 2.0: Multi-touch Meets the MouseNicolas Villar, Shahram Izadi, Dan Rosenfeld, Hrvoje Benko, John Helmes, Jonathan Westhues, Steve Hodges,Eyal Ofek, Alex Butler, Xiang Cao and Billy Chen. Proceedings of UIST 2009.

http://www.disclose.tv/action/viewvideo/31170/Mouse_2_0_from_Microsoft/

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Links

http://bjoern.org http://research.microsoft.com/apps/vi

deo/default.aspx?id=144849