Gaming the Attention Economy

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In Pietro Michelucci (ed.), The Handbook of Human Computation. Springer. pp. 961-978 (2013)
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Abstract

The future of human computation benefits from examining tasks that agents already perform and designing environments to give those tasks computational significance. We call this natural human computation. We consider the possible future of NHC through the lens of Swarm!, an application under development for Google Glass. Swarm! motivates users to compute the solutions to a class of economic optimization problems by engaging the attention dynamics of crowds. We argue that anticipating and managing economies of attention provides one of the most tantalizing future applications for NHC.

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Author Profiles

Jon Lawhead
University of Southern California
Daniel Estrada
New Jersey Institute of Technology

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