TY - JOUR
T1 - An Intelligent Idea Categorizer for electronic meeting systems
AU - Lee, Jae Kwang
AU - Kim, Jae Kyeong
AU - Kim, Soung Hie
AU - Park, Hung Kook
PY - 2002
Y1 - 2002
N2 - Research on group decisions and electronic meeting systems have been increasing rapidly according to the widespread of Internet technology. Although various issues have been raised in empirical research, we will try to solve an issue on idea categorizing in the group decision making process of electronic meeting systems. Idea categorizing used at existing GDSS was performed in a top-down procedure and mostly by participants' manual work. This resulted in tacking as long in idea categorizing as it does for idea generating, clustering an idea in multiple categories, and identifying almost similar redundant categories. However such methods have critical limitation in the electronic meeting systems, so we suggest an intelligent idea categorizing methodology which is a bottom-up approach. This method consists of steps to present idea using keywords, identifying keywords' affinity, computing similarity among ideas, and clustering ideas. This methodology allows participants to interact iteratively for clear manifestation of ambiguous ideas. We also developed a prototype system, IIC (Intelligent Idea Categorizer) and evaluated its performance using the comparison experiments with other systems. IIC is not a general purposed system, but it produces a good result in a given specific domain.
AB - Research on group decisions and electronic meeting systems have been increasing rapidly according to the widespread of Internet technology. Although various issues have been raised in empirical research, we will try to solve an issue on idea categorizing in the group decision making process of electronic meeting systems. Idea categorizing used at existing GDSS was performed in a top-down procedure and mostly by participants' manual work. This resulted in tacking as long in idea categorizing as it does for idea generating, clustering an idea in multiple categories, and identifying almost similar redundant categories. However such methods have critical limitation in the electronic meeting systems, so we suggest an intelligent idea categorizing methodology which is a bottom-up approach. This method consists of steps to present idea using keywords, identifying keywords' affinity, computing similarity among ideas, and clustering ideas. This methodology allows participants to interact iteratively for clear manifestation of ambiguous ideas. We also developed a prototype system, IIC (Intelligent Idea Categorizer) and evaluated its performance using the comparison experiments with other systems. IIC is not a general purposed system, but it produces a good result in a given specific domain.
KW - Electronic meeting systems
KW - Group decision making
KW - Idea organization
KW - Intelligent idea categorizer
UR - http://www.scopus.com/inward/record.url?scp=0036390607&partnerID=8YFLogxK
U2 - 10.1023/A:1020434111129
DO - 10.1023/A:1020434111129
M3 - Review article
AN - SCOPUS:0036390607
SN - 0926-2644
VL - 11
SP - 363
EP - 378
JO - Group Decision and Negotiation
JF - Group Decision and Negotiation
IS - 5
ER -