Cobi: a community-informed conference scheduling tool
Name
KimCobiUIST2013.pdf
Description
Accepted version
Size
4.79 MB
Format
Adobe PDF
Checksum (MD5)
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Author(s)
Kim, Juho
Zhang, Haoqi
Mackay, Wendy E.
Miller, Robert C.
Date Issued
October 2013
Journal
Proceedings of the 26th annual ACM symposium on User interface software and technology
Publisher
Association for Computing Machinery (ACM)
Citation
Kim, Juho, Haoqi Zhang, Paul André, Lydia B. Chilton, Wendy Mackay, Michel Beaudouin-Lafon, Robert C. Miller and Steven P. Dow. "Cobi: a community-informed conference scheduling tool." Conference Proceedings of the 26th annual ACM symposium on User interface software and technology, UIST’13, October 8–11, 2013, St. Andrews, United Kingdom.
Version
Author's final manuscript
Abstract
Effectively planning a large multi-track conference requires an understanding of the preferences and constraints of organizers, authors, and attendees. Traditionally, the onus of scheduling the program falls on a few dedicated organizers. Resolving conflicts becomes difficult due to the size and complexity of the schedule and the lack of insight into community members' needs and desires. Cobi presents an alternative approach to conference scheduling that engages the entire community in the planning process. Cobi comprises (a) communitysourcing applications that collect preferences, constraints, and affinity data from community members, and (b) a visual scheduling interface that combines community-sourced data and constraint-solving to enable organizers to make informed improvements to the schedule. This paper describes Cobi's scheduling tool and reports on a live deployment for planning CHI 2013, where organizers considered input from 645 authors and resolved 168 scheduling conflicts. Results show the value of integrating community input with an intelligent user interface to solve complex planning tasks.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Sloan School of Management
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/2501988.2502034
