{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,3,20]],"date-time":"2024-03-20T16:41:12Z","timestamp":1710952872892},"reference-count":0,"publisher":"Human Computation Institute","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["HCj"],"abstract":"One subclass of human computation applications are those directed at tasks that involve planning\u00a0(e.g. tour planning) and scheduling (e.g. conference scheduling). Interestingly, work on these\u00a0systems shows that even primitive forms of automated oversight on the human contributors helps in\u00a0significantly improving the effectiveness of the humans\/crowd. In this paper, we argue that the automated\u00a0oversight used in these systems can be viewed as a primitive automated planner, and that there\u00a0are several opportunities for more sophisticated automated planning in effectively steering crowdsourced\u00a0planning. Straightforward adaptation of current planning technology is however hampered\u00a0by the mismatch between the capabilities of human workers and automated planners. We identify\u00a0and partially address two important challenges that need to be overcome before such adaptation of\u00a0planning technology can occur: (i) interpreting inputs of the human workers (and the requester)\u00a0and (ii) steering or critiquing plans produced by the human workers, armed only with incomplete\u00a0domain and preference models. To these ends, we describe the implementation of AI-MIX, a tour\u00a0plan generation system that uses automated checks and alerts to improve the quality of plans created\u00a0by human workers.<\/jats:p>","DOI":"10.15346\/hc.v4i1.2","type":"journal-article","created":{"date-parts":[[2017,4,18]],"date-time":"2017-04-18T18:32:29Z","timestamp":1492540349000},"page":"25-46","source":"Crossref","is-referenced-by-count":2,"title":["Herding the Crowd: Using Automated Planning for Better Crowdsourced Planning"],"prefix":"10.15346","volume":"4","author":[{"given":"Lydia","family":"Manikonda","sequence":"first","affiliation":[]},{"given":"Tathagata","family":"Chakraborti","sequence":"additional","affiliation":[]},{"given":"Kartik","family":"Talamadupula","sequence":"additional","affiliation":[]},{"given":"Subbarao","family":"Kambhampati","sequence":"additional","affiliation":[]}],"member":"6022","published-online":{"date-parts":[[2017,4,18]]},"container-title":["Human Computation"],"original-title":[],"link":[{"URL":"https:\/\/hcjournal.org\/index.php\/jhc\/article\/download\/52\/78","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/hcjournal.org\/index.php\/jhc\/article\/download\/52\/78","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,3,31]],"date-time":"2021-03-31T16:00:29Z","timestamp":1617206429000},"score":1,"resource":{"primary":{"URL":"https:\/\/hcjournal.org\/index.php\/jhc\/article\/view\/52"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,4,18]]},"references-count":0,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2017,4,16]]}},"URL":"http:\/\/dx.doi.org\/10.15346\/hc.v4i1.2","relation":{},"ISSN":["2330-8001"],"issn-type":[{"value":"2330-8001","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,4,18]]}}}
