Cobi: communitysourcing large-scale conference scheduling
Creating a good schedule for a large conference such as CHI requires taking into account the preferences and constraints of organizers, authors, and attendees. Traditionally, the onus of planning is placed entirely on the organizers and involves only a few individuals. Cobi presents an alternative a...
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Format: | Article |
Language: | English |
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Association for Computing Machinery (ACM)
2019
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Online Access: | https://hdl.handle.net/1721.1/121442 |
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author | Zhang, Haoqi Kim, Juho Miller, Robert C. |
author2 | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
author_facet | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Zhang, Haoqi Kim, Juho Miller, Robert C. |
author_sort | Zhang, Haoqi |
collection | MIT |
description | Creating a good schedule for a large conference such as CHI requires taking into account the preferences and constraints of organizers, authors, and attendees. Traditionally, the onus of planning is placed entirely on the organizers and involves only a few individuals. Cobi presents an alternative approach to conference scheduling that engages the entire community to take active roles in the planning process. The Cobi system consists of a collection of crowdsourcing applications that elicit preferences and constraints from the community, and software that enable organizers and other community members to take informed actions toward improving the schedule based on collected information. We are currently piloting Cobi as part of the CHI 2013 planning process. |
first_indexed | 2024-09-23T15:12:37Z |
format | Article |
id | mit-1721.1/121442 |
institution | Massachusetts Institute of Technology |
language | English |
last_indexed | 2024-09-23T15:12:37Z |
publishDate | 2019 |
publisher | Association for Computing Machinery (ACM) |
record_format | dspace |
spelling | mit-1721.1/1214422022-09-29T13:24:12Z Cobi: communitysourcing large-scale conference scheduling Zhang, Haoqi Kim, Juho Miller, Robert C. Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Creating a good schedule for a large conference such as CHI requires taking into account the preferences and constraints of organizers, authors, and attendees. Traditionally, the onus of planning is placed entirely on the organizers and involves only a few individuals. Cobi presents an alternative approach to conference scheduling that engages the entire community to take active roles in the planning process. The Cobi system consists of a collection of crowdsourcing applications that elicit preferences and constraints from the community, and software that enable organizers and other community members to take informed actions toward improving the schedule based on collected information. We are currently piloting Cobi as part of the CHI 2013 planning process. 2019-06-28T11:26:50Z 2019-06-28T11:26:50Z 2013-04 2019-06-27T16:14:25Z Article http://purl.org/eprint/type/ConferencePaper https://hdl.handle.net/1721.1/121442 Zhang, Haoqi, Paul Andre, Lydia Chilton, Juho Kim, Steven Dow, et al. "Cobi: Communitysourcing Large-Scale Conference Scheduling."CHI '13 International Conference on Human Factors in Computing Systems, Apr 2013, Paris, France. pp.3011-3014. en 10.1145/2468356.2479597 CHI '13 International Conference on Human Factors in Computing Systems Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Association for Computing Machinery (ACM) other univ website |
spellingShingle | Zhang, Haoqi Kim, Juho Miller, Robert C. Cobi: communitysourcing large-scale conference scheduling |
title | Cobi: communitysourcing large-scale conference scheduling |
title_full | Cobi: communitysourcing large-scale conference scheduling |
title_fullStr | Cobi: communitysourcing large-scale conference scheduling |
title_full_unstemmed | Cobi: communitysourcing large-scale conference scheduling |
title_short | Cobi: communitysourcing large-scale conference scheduling |
title_sort | cobi communitysourcing large scale conference scheduling |
url | https://hdl.handle.net/1721.1/121442 |
work_keys_str_mv | AT zhanghaoqi cobicommunitysourcinglargescaleconferencescheduling AT kimjuho cobicommunitysourcinglargescaleconferencescheduling AT millerrobertc cobicommunitysourcinglargescaleconferencescheduling |