Frenzy: Collaborative Data . . . (2014)
BibTeX
@MISC{Chilton14frenzy:collaborative,
author = {Lydia B. Chilton and Juho Kim and Paul André and Felicia Cordeiro and James A. Landay and Daniel S. Weld and Steven P. Dow and Robert C. Miller and Haoqi Zhang},
title = {Frenzy: Collaborative Data . . .},
year = {2014}
}
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Abstract
Organizing conference sessions around themes improves the experience for attendees. However, the session creation process can be difficult and time-consuming due to the amount of expertise and effort required to consider alternative paper groupings. We present a collaborative web application called Frenzy to draw on the efforts and knowledge of an entire program committee. Frenzy comprises (a) interfaces to support large numbers of experts working collectively to create sessions, and (b) a two-stage process that decomposes the session-creation problem into meta-data elicitation and global constraint satisfaction. Meta-data elicitation involves a large group of experts working simultaneously, while global constraint satisfaction involves a smaller group that uses the meta-data to form sessions. We evaluated Frenzy with 48 people during a deployment at the CSCW 2014 program committee meeting. The session making process was much faster than the traditional process, taking 88 minutes instead of a full day. We found that meta-data elicitation was useful for session creation. Moreover, the sessions created by Frenzy were the basis of the CSCW 2014 schedule.
Keyphrases
meta-data elicitation global constraint satisfaction full day traditional process session creation process program committee meeting conference session collaborative web appli-cation large group ses-sion making process entire program committee large number alterna-tive paper grouping session-creation problem author keywords crowdsourcing two-stage process session creation
