The Knowledge Accelorator

Big Picture Thinking in Small Pieces

Nathan Hahn, Joseph Chee Chang, and Aniket Kittur. CHI 2016.
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People often search to web to find solutions to problems beyond factual question, such as planning road trips, writing an report, or buying a new camera. The Knowledge Accelerator uses crowdworkers to synthesize different information sources on the web in response to a query. We prototyped this system in order to explore crowdsourcing complex, high context tasks in a microtask environment.

Abstract

Crowdsourcing offers a powerful new paradigm for onlinework. However, real world tasks are often interdependent,requiring a big picture view of the difference pieces involved. Existing crowdsourcing approaches that support such tasks – ranging from Wikipedia to flash teams – are bottleneckedby relying on a small number of individuals to maintain thebig picture. In this paper, we explore the idea that a computational system can scaffold an emerging interdependent,big picture view entirely through the small contributions ofindividuals, each of whom sees only a part of the whole. Toinvestigate the viability, strengths, and weaknesses of this approach we instantiate the idea in a prototype system for accomplishing distributed information synthesis and evaluateits output across a variety of topics. We also contribute a setof design patterns that may be informative for other systemsaimed at supporting big picture thinking in small pieces.

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Citation

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Nathan Hahn, Joseph Chang, Ji Eun Kim, and Aniket Kittur. 2016.
The Knowledge Accelerator: Big Picture Thinking in Small Pieces.
In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI '16).
ACM, New York, NY, USA, 2258-2270. DOI: http://dx.doi.org/10.1145/2858036.2858364

Bibtex

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@inproceedings{Hahn:2016:KAB:2858036.2858364,
 author = {Hahn, Nathan and Chang, Joseph and Kim, Ji Eun and Kittur, Aniket},
 title = {The Knowledge Accelerator: Big Picture Thinking in Small Pieces},
 booktitle = {Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems},
 series = {CHI '16},
 year = {2016},
 isbn = {978-1-4503-3362-7},
 location = {Santa Clara, California, USA},
 pages = {2258--2270},
 numpages = {13},
 url = {http://doi.acm.org/10.1145/2858036.2858364},
 doi = {10.1145/2858036.2858364},
 acmid = {2858364},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {complex workflow, crowd work, crowdsourcing, design patterns, information synthesis},
} 

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