Cobi: communitysourcing large-scale conference scheduling
Name
cobi-interactivity.pdf
Description
Accepted version
Size
1.2 MB
Format
Adobe PDF
Checksum (MD5)
1e92a11b2c24410af76ff66568a5a0b3
Author(s)
Zhang, Haoqi
Kim, Juho
Miller, Robert C.
Date Issued
April 2013
Journal
CHI '13 International Conference on Human Factors in Computing Systems
Publisher
Association for Computing Machinery (ACM)
Citation
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.
Version
Author's final manuscript
Abstract
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.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/2468356.2479597
