Attendee-Sourcing: Exploring The Design Space of Community-Informed Conference Scheduling
Constructing a good conference schedule for a large multi-track conference needs to take into account the preferences and constraints of organizers, authors, and attendees. Creating a schedule which has fewer conflicts for authors and attendees, and thematically coherent sessions is a challenging ta...
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| Format: | Article |
| Language: | en_US |
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Association for the Advancement of Artificial Intelligence (AAAI)
2015
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| Online Access: | http://hdl.handle.net/1721.1/100510 https://orcid.org/0000-0002-7470-3265 https://orcid.org/0000-0001-6348-4127 https://orcid.org/0000-0002-0024-5847 https://orcid.org/0000-0002-0442-691X https://orcid.org/0000-0002-4642-1869 |
| _version_ | 1811091633628774400 |
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| author | Bhardwaj, Anant P. Kim, Juho Dow, Steven Karger, David R. Madden, Samuel R. Miller, Robert C. Zhang, Haoqi |
| author2 | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
| author_facet | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Bhardwaj, Anant P. Kim, Juho Dow, Steven Karger, David R. Madden, Samuel R. Miller, Robert C. Zhang, Haoqi |
| author_sort | Bhardwaj, Anant P. |
| collection | MIT |
| description | Constructing a good conference schedule for a large multi-track conference needs to take into account the preferences and constraints of organizers, authors, and attendees. Creating a schedule which has fewer conflicts for authors and attendees, and thematically coherent sessions is a challenging task. Cobi introduced an alternative approach to conference scheduling by engaging the community to play an active role in the planning process. The current Cobi pipeline consists of committee-sourcing and author-sourcing to plan a conference schedule. We further explore the design space of community-sourcing by introducing attendee-sourcing -- a process that collects input from conference attendees and encodes them as preferences and constraints for creating sessions and schedule. For CHI 2014, a large multi-track conference in human-computer interaction with more than 3,000 attendees and 1,000 authors, we collected attendees’ preferences by making available all the accepted papers at the conference on a paper recommendation tool we built called Confer, for a period of 45 days before announcing the conference program (sessions and schedule). We compare the preferences marked on Confer with the preferences collected from Cobi’s author-sourcing approach. We show that attendee-sourcing can provide insights beyond what can be discovered by author-sourcing. For CHI 2014, the results show value in the method and attendees’ participation. It produces data that provides more alternatives in scheduling and complements data collected from other methods for creating coherent sessions and reducing conflicts. |
| first_indexed | 2024-09-23T15:05:29Z |
| format | Article |
| id | mit-1721.1/100510 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T15:05:29Z |
| publishDate | 2015 |
| publisher | Association for the Advancement of Artificial Intelligence (AAAI) |
| record_format | dspace |
| spelling | mit-1721.1/1005102022-10-02T00:32:14Z Attendee-Sourcing: Exploring The Design Space of Community-Informed Conference Scheduling Bhardwaj, Anant P. Kim, Juho Dow, Steven Karger, David R. Madden, Samuel R. Miller, Robert C. Zhang, Haoqi Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Bhardwaj, Anant P. Kim, Juho Karger, David R. Madden, Samuel R. Miller, Robert C. Constructing a good conference schedule for a large multi-track conference needs to take into account the preferences and constraints of organizers, authors, and attendees. Creating a schedule which has fewer conflicts for authors and attendees, and thematically coherent sessions is a challenging task. Cobi introduced an alternative approach to conference scheduling by engaging the community to play an active role in the planning process. The current Cobi pipeline consists of committee-sourcing and author-sourcing to plan a conference schedule. We further explore the design space of community-sourcing by introducing attendee-sourcing -- a process that collects input from conference attendees and encodes them as preferences and constraints for creating sessions and schedule. For CHI 2014, a large multi-track conference in human-computer interaction with more than 3,000 attendees and 1,000 authors, we collected attendees’ preferences by making available all the accepted papers at the conference on a paper recommendation tool we built called Confer, for a period of 45 days before announcing the conference program (sessions and schedule). We compare the preferences marked on Confer with the preferences collected from Cobi’s author-sourcing approach. We show that attendee-sourcing can provide insights beyond what can be discovered by author-sourcing. For CHI 2014, the results show value in the method and attendees’ participation. It produces data that provides more alternatives in scheduling and complements data collected from other methods for creating coherent sessions and reducing conflicts. 2015-12-27T23:16:57Z 2015-12-27T23:16:57Z 2014-11 Article http://purl.org/eprint/type/ConferencePaper http://hdl.handle.net/1721.1/100510 Bhardwaj, Anant, Juho Kim, Steven Dow, David Karger, Sam Madden, Rob Miller, and Haoqi Zhang. "Attendee-Sourcing: Exploring The Design Space of Community-Informed Conference Scheduling." Second AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2014) (November 2014). https://orcid.org/0000-0002-7470-3265 https://orcid.org/0000-0001-6348-4127 https://orcid.org/0000-0002-0024-5847 https://orcid.org/0000-0002-0442-691X https://orcid.org/0000-0002-4642-1869 en_US http://www.aaai.org/ocs/index.php/HCOMP/HCOMP14/paper/view/8974 Proceedings of the Second AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2014) Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Association for the Advancement of Artificial Intelligence (AAAI) arXiv |
| spellingShingle | Bhardwaj, Anant P. Kim, Juho Dow, Steven Karger, David R. Madden, Samuel R. Miller, Robert C. Zhang, Haoqi Attendee-Sourcing: Exploring The Design Space of Community-Informed Conference Scheduling |
| title | Attendee-Sourcing: Exploring The Design Space of Community-Informed Conference Scheduling |
| title_full | Attendee-Sourcing: Exploring The Design Space of Community-Informed Conference Scheduling |
| title_fullStr | Attendee-Sourcing: Exploring The Design Space of Community-Informed Conference Scheduling |
| title_full_unstemmed | Attendee-Sourcing: Exploring The Design Space of Community-Informed Conference Scheduling |
| title_short | Attendee-Sourcing: Exploring The Design Space of Community-Informed Conference Scheduling |
| title_sort | attendee sourcing exploring the design space of community informed conference scheduling |
| url | http://hdl.handle.net/1721.1/100510 https://orcid.org/0000-0002-7470-3265 https://orcid.org/0000-0001-6348-4127 https://orcid.org/0000-0002-0024-5847 https://orcid.org/0000-0002-0442-691X https://orcid.org/0000-0002-4642-1869 |
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