A mixed-initiative scheduling workbench: integrating AI, OR and HCI
Decision Support Systems
Principles of mixed-initiative user interfaces
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Investigating human-computer optimization
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A tangible interface for organizing information using a grid
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Work-centered design: a case study of a mixed-initiative scheduler
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Integrating rich user feedback into intelligent user interfaces
Proceedings of the 13th international conference on Intelligent user interfaces
Modeling and solution of a complex university course timetabling problem
PATAT'06 Proceedings of the 6th international conference on Practice and theory of automated timetabling VI
CueT: human-guided fast and accurate network alarm triage
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Field trial of Tiramisu: crowd-sourcing bus arrival times to spur co-design
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Building Successful Online Communities: Evidence-Based Social Design
Building Successful Online Communities: Evidence-Based Social Design
CommunitySourcing: engaging local crowds to perform expert work via physical kiosks
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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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 communitysourced 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.