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  Crowd-Sourcing Design: Sketch Minimization using Crowds for Feedback

Engel, D., Kottler, V., Malisi, C., Röttig, M., Willing, E., & Schultheiss, S. (2012). Crowd-Sourcing Design: Sketch Minimization using Crowds for Feedback. In 4th Human Computation Workshop (HCOMP 2012) (pp. 71-77).

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 Creators:
Engel, D, Author           
Kottler, V1, Author                 
Malisi, C2, Author           
Röttig, M, Author
Willing, E, Author
Schultheiss, S, Author                 
Affiliations:
1Department Molecular Biology, Max Planck Institute for Developmental Biology, Max Planck Society, ou_3375790              
2Research Group Protein Design, Max Planck Institute for Developmental Biology, Max Planck Society, ou_3384430              

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 Abstract: Design tasks are notoriously difficult, because success is de-
fined by the perception of the target audience, whose feed-
back is usually not available during design stages. Com-
monly, design is performed by professionals who have spe-
cific domain knowledge (i.e., an intuitive understanding of
the implicit requirements of the task) and do not need the
feedback of the perception of the viewers during the process.
In this paper, we present a novel design methodology for cre-
ating minimal sketches of objects that uses an iterative opti-
mization scheme. We define minimality for a sketch via the
minimal number of straight line segments required for correct
recognition by 75% of na¨ıve viewers. Crowd-sourcing tech-
niques allow us to directly include the perception of the audi-
ence in the design process. By joining designers and crowds,
we are able to create a human computation system that can
efficiently optimize sketches without requiring high levels of
domain knowledge (i.e., design skills) from any worker.

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 Dates: 2012-07
 Publication Status: Published online
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Event

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Title: 4th Human Computation Workshop (HCOMP 2012)
Place of Event: Toronto, ON, Canada
Start-/End Date: 2012-07-23

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Title: 4th Human Computation Workshop (HCOMP 2012)
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: WS-12-08 Start / End Page: 71 - 77 Identifier: -