@inproceedings{5462464cd95148aaa7fe1db581d63fa1,
title = "Human computation tasks with global constraints",
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.",
keywords = "Collaborative planning, Crowdware, Groupware, Human computation, Mixed-initiative interaction",
author = "Haoqi Zhang and Edith Law and Miller, {Robert C.} and Gajos, {Krzysztof Z.} and Parkes, {David C.} and Eric Horvitz",
year = "2012",
doi = "10.1145/2207676.2207708",
language = "English (US)",
isbn = "9781450310154",
series = "Conference on Human Factors in Computing Systems - Proceedings",
pages = "217--226",
booktitle = "Conference Proceedings - The 30th ACM Conference on Human Factors in Computing Systems, CHI 2012",
note = "30th ACM Conference on Human Factors in Computing Systems, CHI 2012 ; Conference date: 05-05-2012 Through 10-05-2012",
}