@inproceedings{zhang2012human,
author = {Zhang, Haoqi and Law, Edith and Miller, Robert C. and Gajos, Krzysztof Z. and Parkes, David C. and Horvitz, Eric},
title = {Human Computation Tasks with Global Constraints},
booktitle = {CHI'12, May 5-10, 2012, Austin, Texas, USA.},
year = {2012},
month = {January},
abstract = {An important class of tasks that are underexplored in current human computation systems are complex tasks with global constraints. One example of such a task is itinerary planning, where solutions consist of a sequence of activities that meet requirements specified by the requester. In this paper, we focus on the crowdsourcing of such plans as a case study of constraint-based human computation tasks and introduce a collaborative planning system called Mobi that illustrates a novel crowdware paradigm. Mobi presents a single interface that enables crowd participants to view the current solution context and make appropriate contributions based on current needs. We conduct experiments that explain how Mobi enables a crowd to effectively and collaboratively resolve global constraints, and discuss how the design principles behind Mobi can more generally facilitate a crowd to tackle problems involving global constraints.},
url = {http://approjects.co.za/?big=en-us/research/publication/human-computation-tasks-global-constraints/},
edition = {CHI’12, May 5–10, 2012, Austin, Texas, USA.},
}