Published:
2014-11-05
Proceedings:
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, 2
Volume
Issue:
Vol. 2 (2014): Second AAAI Conference on Human Computation and Crowdsourcing
Track:
Works in Progress
Downloads:
Abstract:
Human computation applications that involve planning and scheduling are gaining popularity, and the existing literature on such systems shows that any automated oversight on human contributors improves the effectiveness of the crowd. In this paper, we present our ongoing work on the AI-MIX system, which is a first step towards using an automated planning and scheduling system in a crowdsourced planning application. In order to address the mismatch between the capabilities of the crowd and the automated planner, we identify two major challenges -- interpretation, and steering. We also present preliminary empirical results over the tour planning domain, and show how using an automated planner can help improve the quality of plans.
DOI:
10.1609/hcomp.v2i1.13192
HCOMP
Vol. 2 (2014): Second AAAI Conference on Human Computation and Crowdsourcing
ISBN 978-1-57735-682-0