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Human Computation Steven Emory CS 575 Human Issues in Computing.

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Human Computation Steven Emory CS 575 Human Issues in Computing
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Human Computation

Steven EmoryCS 575

Human Issues in Computing

Overview

What is Human Computation?

History of Human Computation

Examples of Human Computation

Challenges in Human Computation

Definition of Computation

Normally we rely on computers to do all the work

On input:

Step #1 (computer)

Step #2 (computer)

... (computer)

Step #n (computer)

Ouput

Definition of Human Computation

Some or all steps solved by human(s)

Roles reversed: Computer asks us to solve a problem

On input:

Step #1

Step #2 (ask a human)

...

Step #n

Output

History of Human Computation

1980's: Interactive Genetic Algorithms

2000's: Human-Based Genetic Algorithms

2000's: Outsourced Human Spam

2000's: Interactive Guessing Games

Notes on Human Computation

While Interactive and Human-Based GAs can employ the use of a single person, the term Human Computation is typically only used when many humans are involved

Difficult to get a lot of data out of just one person

Results are statistically better when many people agree (if it's just one person are you sure he's telling the truth?)

Humans are typically networked (not communicating, collaborating, or cheating)

Quicksort Example

Bad Example: Quicksort

Input: Unsorted array

Select a pivot (human selection)

Swap last element with pivot element

Partition array using pivot element

Insert pivot element into correct position

Repeat above steps for left/right side partitions

Output: Sorted array

Quicksort Problems

Solved faster by computer alone

Not rewarding

Boring/painful

Wouldn't do this even if I was paid to do it

Using first row of students, would everyone pick the same pivots?

Photomosaic Demo

To demonstrate that humans are better at some things than computers, consider a photomosaic:

Can be solved by computer alone.

On input “image gallery,” “source image”1.) Tile source image.2.) From left-to-right, top-to-bottom, compare each image in the image gallery to each tile in the source image, inserting the gallery image with the lowest error.3.) Output photomosaic.

Photomosaic Problems

Noticeable visual artifacts (no image reuse)

Could use a randomized algorithm instead

Could optimize important features first

However, no general “select important features” algorithm exists

Must ask a human (the user) to select important features

Photomosaic Solutions

Revised algorithm:

On input “image gallery,” “source image”1.) Tile source image.2.) Select important features (ask human).3.) Optimize (randomly) important features.4.) Optimize (randomly) unimportant features.5.) Output photomosaic.

Unlike the Quicksort example:

this is rewarding and fun

When to Use

When the problem:

is hard for a computer, but easy for a human

is not boring to humans (music, art, games)

is rewarding (financially or emotionally)

Human Computation Challenges

User interface design

Coordinating many human participants

Analogous to distributed computing

Honesty

Prolonged computation

Maintaining human interest and motivation

reCAPTCHA Example

Used to digitize old books (make e-books)

OCR normally works 99% of the time

OCR accuracy drops for older books

Old paper

Old printing techniques

Solution: Ask humans to determine words OCR fails to classify

When enough humans agree, consider it solved

reCAPTCHA Example

Metadata Example

Algorithm: Assign metadata to images

Useful for content/multimedia management systems (i.e. Istockphoto)

No algorithm exists for image labeling

Luis Von Ahn's solution: The ESP Gamehttp://www.espgame.org

ESP Game Demo

Metadata Example

Problem:

Getting humans to agree correctly

Electric Sheep Example

Brief fractal explanation:

Iterative process based on chaos, dynamical systems

Newton's Method FractalSolve az3 + bz2 + cz + d = 0 for complex numbersa, b, c, d are fractal parameters

Cubic equation has 3 rootsRed = converges to root #1Green = converges to root #2Blue = converges to root #3Black = fails to converge

Electric Sheep Example

Electric Sheep Example

Animated fractal screensaver application

Also an interactive genetic algorithm

Humans (users of screensaver) evaluate fitness

Animated fractal parameters are mutated

Algorithm has been running for years

http://www.electricsheep.org/

Electric Sheep Example

Outsourced Human Spam

On input “http://acm.calstatela.edu/forum”:

Find Register link (spam bot)

Download registration form (spam bot)

Fill out registration form (spam bot)

Find CAPTCHA (spam bot)

Solve CAPTCHA (human)

Send registration form (spam bot)

Output: SPAM!!!

Conclusions

There many hard/impossible to solve problems

Nothing shameful about using Human Computation

Applications in art, music, computer vision, security, content management

References

Luis Von Ahn

Google Talk lecture on Human Computation

http://www.cs.cmu.edu/~biglou/

http://www.espgame.org

The Art of Artificial Evolution (2008)

http://www.springerlink.com/content/r68831/?p=d04c460aa17749eb8153fec3d0507f68&pi=9


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