Support for Location and Comprehension of User History in Collaborative Work

Users are being embraced as partners in developing computer services in many current computer supported cooperative work systems. Many web-based applications, including collaborative authoring tools like wikis, place users into collaborations with unknown and distant partners. Individual participant...

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Bibliographic Details
Main Author: Kim, Do Hyoung
Other Authors: Shipman, Frank M.
Format: Others
Language:en_US
Published: 2012
Subjects:
Online Access:http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10259
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spelling ndltd-tamu.edu-oai-repository.tamu.edu-1969.1-ETD-TAMU-2011-12-102592013-01-08T10:43:01ZSupport for Location and Comprehension of User History in Collaborative WorkKim, Do Hyounguser historyhistory clusteringhistory visualizationUsers are being embraced as partners in developing computer services in many current computer supported cooperative work systems. Many web-based applications, including collaborative authoring tools like wikis, place users into collaborations with unknown and distant partners. Individual participants in such environments need to identify and understand others' contributions for collaboration to succeed and be efficient. One approach to supporting such understanding is to record user activity for later access. Issues with this approach include difficulties in locating activity of interest in large tasks and the history is often recorded at a system-activity level instead of at a human-activity level. To address these issues, this dissertation introduces CoActIVE, an application-independent history mechanism that clusters records of user activity and extracts keywords in an attempt to provide a human-level representation of history. CoActIVE is integrated in three different software applications to show its applicability and validity. Multiple visualization techniques based on this processing are compared in their ability to improve users' location and comprehension of the activity of others. The results show that filmstrip visualization and visual summarization of user activity show significant improvement over traditional list view interfaces. CoActIVE generates an interpretation of large-scale interaction history and provides the interpretation thorough a variety of visualizations that allow users to navigate the evolution of collaborative work. It supports branching history, with the understanding that asynchronous authoring and design tasks often involve the parallel development of alternatives. Additionally, CoActIVE has the potential to be integrated into a variety of applications with little adjustment for compatibility. Especially, the comparison of visualizations for locating and comprehending the work of others is unique.Shipman, Frank M.2012-02-14T22:19:23Z2012-02-16T16:16:22Z2012-02-14T22:19:23Z2012-02-16T16:16:22Z2011-122012-02-14December 2011thesistextapplication/pdfhttp://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10259en_US
collection NDLTD
language en_US
format Others
sources NDLTD
topic user history
history clustering
history visualization
spellingShingle user history
history clustering
history visualization
Kim, Do Hyoung
Support for Location and Comprehension of User History in Collaborative Work
description Users are being embraced as partners in developing computer services in many current computer supported cooperative work systems. Many web-based applications, including collaborative authoring tools like wikis, place users into collaborations with unknown and distant partners. Individual participants in such environments need to identify and understand others' contributions for collaboration to succeed and be efficient. One approach to supporting such understanding is to record user activity for later access. Issues with this approach include difficulties in locating activity of interest in large tasks and the history is often recorded at a system-activity level instead of at a human-activity level. To address these issues, this dissertation introduces CoActIVE, an application-independent history mechanism that clusters records of user activity and extracts keywords in an attempt to provide a human-level representation of history. CoActIVE is integrated in three different software applications to show its applicability and validity. Multiple visualization techniques based on this processing are compared in their ability to improve users' location and comprehension of the activity of others. The results show that filmstrip visualization and visual summarization of user activity show significant improvement over traditional list view interfaces. CoActIVE generates an interpretation of large-scale interaction history and provides the interpretation thorough a variety of visualizations that allow users to navigate the evolution of collaborative work. It supports branching history, with the understanding that asynchronous authoring and design tasks often involve the parallel development of alternatives. Additionally, CoActIVE has the potential to be integrated into a variety of applications with little adjustment for compatibility. Especially, the comparison of visualizations for locating and comprehending the work of others is unique.
author2 Shipman, Frank M.
author_facet Shipman, Frank M.
Kim, Do Hyoung
author Kim, Do Hyoung
author_sort Kim, Do Hyoung
title Support for Location and Comprehension of User History in Collaborative Work
title_short Support for Location and Comprehension of User History in Collaborative Work
title_full Support for Location and Comprehension of User History in Collaborative Work
title_fullStr Support for Location and Comprehension of User History in Collaborative Work
title_full_unstemmed Support for Location and Comprehension of User History in Collaborative Work
title_sort support for location and comprehension of user history in collaborative work
publishDate 2012
url http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10259
work_keys_str_mv AT kimdohyoung supportforlocationandcomprehensionofuserhistoryincollaborativework
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