Herding the Crowd: Automated Planning for Crowdsourced Planning
Kartik Talamadupula, Subbarao Kambhampati

TL;DR
This paper explores how automated planning can enhance crowdsourced planning tasks by providing oversight and guidance, addressing challenges in interpreting human inputs and steering plans with incomplete models.
Contribution
It conceptualizes automated oversight as primitive planning and discusses opportunities and challenges for integrating sophisticated automated planning into crowdsourcing systems.
Findings
Automated oversight improves human planner effectiveness.
Challenges include interpreting human inputs and incomplete models.
Existing systems vary in handling these challenges.
Abstract
There has been significant interest in crowdsourcing and human computation. One subclass of human computation applications are those directed at tasks that involve planning (e.g. travel planning) and scheduling (e.g. conference scheduling). Much of this work appears outside the traditional automated planning forums, and at the outset it is not clear whether automated planning has much of a role to play in these human computation systems. Interestingly however, work on these systems shows that even primitive forms of automated oversight of the human planner does help in significantly improving the effectiveness of the humans/crowd. In this paper, we will argue that the automated oversight used in these systems can be viewed as a primitive automated planner, and that there are several opportunities for more sophisticated automated planning in effectively steering crowdsourced planning.…
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