Nathan Hahn


The Knowledge Accelerator: Big Picture Thinking in Small Pieces

Nathan Hahn, Joseph Chang, Ji Eun Kim, Niki Kittur

CHI 2016Honorable MentionPDF


Crowdsourcing offers a powerful new paradigm for online work. 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 bottlenecked by relying on a small number of individuals to maintain the big 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 of individuals, each of whom sees only a part of the whole. To investigate the viability, strengths, and weaknesses of this approach we instantiate the idea in a prototype system for accomplishing distributed information synthesis and evaluate its output across a variety of topics. We also contribute a set of design patterns that may be informative for other systems aimed at supporting big picture thinking in small pieces.


Below is a list of the KA responses to the questions listed in the paper:


Hahn, N., Chang, J., Kim, J. E., & Kittur, A. (2016). The Knowledge Accelerator. Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems - CHI  ’16. doi:10.1145/2858036.2858364


	doi = {10.1145/2858036.2858364},
	url = {},
	year = 2016,
	publisher = {{ACM} Press},
	author = {Nathan Hahn and Joseph Chang and Ji Eun Kim and Aniket Kittur},
	title = {The Knowledge Accelerator},
	booktitle = {Proceedings of the 2016 {CHI} Conference on Human Factors in Computing Systems - {CHI} {\textquotesingle}16}