Low Effort Crowdsourcing: Leveraging Peripheral Attention for Crowd Work


  • Rajan Vaish University of California, Santa Cruz and Palo Alto Research Center
  • Peter Organisciak University of Illinois at Urbana-Champaign
  • Kotaro Hara University of Maryland at College Park
  • Jeffrey Bigham Carnegie Mellon University
  • Haoqi Zhang Northwestern University


low effort crowdsourcing, waitsourcing, microtasking


Crowdsourcing systems leverage short bursts of focused attention from many contributors to achieve a goal. By requiring people’s full attention, existing crowdsourcing systems fail to leverage people’s cognitive surplus in the many settings for which they may be distracted, performing or waiting to perform another task, or barely paying attention. In this paper, we study opportunities for low-effort crowdsourcing that enable people to contribute to problem solving in such settings. We discuss the design space for low-effort crowdsourcing, and through a series of prototypes, demonstrate interaction techniques, mechanisms, and emerging principles for enabling low-effort crowdsourcing.




How to Cite

Vaish, R., Organisciak, P., Hara, K., Bigham, J., & Zhang, H. (2014). Low Effort Crowdsourcing: Leveraging Peripheral Attention for Crowd Work. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, 2(1). Retrieved from https://ojs.aaai.org/index.php/HCOMP/article/view/13191