An Automatic Classifcation Approach to Idea Organization in Group Support Systems

Persistent Link:
http://hdl.handle.net/10150/195266
Title:
An Automatic Classifcation Approach to Idea Organization in Group Support Systems
Author:
Yuan, Ming
Issue Date:
2008
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
With the rapid advance of information technologies, human beings increasingly rely on computers to accumulate, process, and make use of data. Knowledge discovery techniques have been proposed to automatically search large volumes of data for patterns.Group Support Systems (GSS) play an important role in streamlining group activities and improving group outcomes. Various attempts have been made to help automate several tasks in group activities under GSS environment. One of the approaches is to apply automatic approach to idea organization task in GSS.This research designed and tested an SVD-enabled system to automate the idea organization task in GSS. Specifically, this research was conducted to examine how the idea organization task, typically regarded as the most labor-intensive and cognitively demanding in group problems solving, can be automated using a system enabled by singular value decomposition techniques. For the purpose of evaluation, we compared the performance of our automated approach using SVD algorithm against that of human subjects. Two separate experiments were conducted to evaluate the performance of the automatic approach on two essential components of an idea organization; namely, generation of topic categories and placement of relevant comments into their respective categories.The general conclusion that can be made from this research is that idea organization in group problem solving can be facilitated both efficiently and effectively with the SVD-enabled system that can automatically generate topic categories and place relevant comments into their respective topic categories. Therefore, our automatic approach may provide a useful and promising tool for the idea organization task in GSS.
Type:
text; Electronic Dissertation
Keywords:
group support systems; idea organization; automation
Degree Name:
PhD
Degree Level:
doctoral
Degree Program:
Management Information Systems; Graduate College
Degree Grantor:
University of Arizona
Committee Chair:
Nunamaker, Jay F.

Full metadata record

DC FieldValue Language
dc.language.isoENen_US
dc.titleAn Automatic Classifcation Approach to Idea Organization in Group Support Systemsen_US
dc.creatorYuan, Mingen_US
dc.contributor.authorYuan, Mingen_US
dc.date.issued2008en_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractWith the rapid advance of information technologies, human beings increasingly rely on computers to accumulate, process, and make use of data. Knowledge discovery techniques have been proposed to automatically search large volumes of data for patterns.Group Support Systems (GSS) play an important role in streamlining group activities and improving group outcomes. Various attempts have been made to help automate several tasks in group activities under GSS environment. One of the approaches is to apply automatic approach to idea organization task in GSS.This research designed and tested an SVD-enabled system to automate the idea organization task in GSS. Specifically, this research was conducted to examine how the idea organization task, typically regarded as the most labor-intensive and cognitively demanding in group problems solving, can be automated using a system enabled by singular value decomposition techniques. For the purpose of evaluation, we compared the performance of our automated approach using SVD algorithm against that of human subjects. Two separate experiments were conducted to evaluate the performance of the automatic approach on two essential components of an idea organization; namely, generation of topic categories and placement of relevant comments into their respective categories.The general conclusion that can be made from this research is that idea organization in group problem solving can be facilitated both efficiently and effectively with the SVD-enabled system that can automatically generate topic categories and place relevant comments into their respective topic categories. Therefore, our automatic approach may provide a useful and promising tool for the idea organization task in GSS.en_US
dc.typetexten_US
dc.typeElectronic Dissertationen_US
dc.subjectgroup support systemsen_US
dc.subjectidea organizationen_US
dc.subjectautomationen_US
thesis.degree.namePhDen_US
thesis.degree.leveldoctoralen_US
thesis.degree.disciplineManagement Information Systemsen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.chairNunamaker, Jay F.en_US
dc.contributor.committeememberNunamaker, Jay F.en_US
dc.contributor.committeememberZhao, J. Leonen_US
dc.contributor.committeememberBriggs, Roberten_US
dc.contributor.committeememberFallis, Donen_US
dc.identifier.proquest2811en_US
dc.identifier.oclc659749873en_US
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