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arXiv:1306.6376nlin.AO

Gaming the Attention Economy

Daniel Estrada, Jonathan Lawhead

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Abstract

The future of human computation (HC) benefits from examining tasks that agents already perform and designing environments to give those tasks computational significance. We call this natural human computation (NHC). 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.

arXiv comments
Originally published in Springer's Handbook of Human Computation
Journal reference
DOI
Subjects
nlin.AOAdaptation and Self-Organizing Systems

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Linked by 1 identifiable commenter in 1 comment across 1 thread, from Aug 2013 to Aug 2013. Found in 1 HN submission from Jun 2013 to Jun 2013. Open submission discussions.

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Discussed in comments1 thread

  1. Swarm casts humans as ants in the first Google Glass MMO game 1 comment

    • Our app is based in research we've published, which we've made available here: http://arxiv.org/abs/1306.6376 We're also actively seeking developers and game designers for the project, and we're accepting donations =) I'm watching this thread, and I'm happy to talk about…

      djestradaView on HNParent context

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