Evaluation on visualization methods of dynamic collaborative relationships for project management

Using visualization methods to describe collaborative relationships can form a more intuitive and conducive graphical representation of these relationships, helping us better understand and analyze complex dynamic collaborative relationships. To explore a suitable visualization form for collaborativ...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:The Visual computer 2021, Vol.37 (1), p.161-174
Hauptverfasser: Lu, Qiang, Huang, Jing, Zhang, Qingyu, Yuan, Xiaohui, Li, Jie
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 174
container_issue 1
container_start_page 161
container_title The Visual computer
container_volume 37
creator Lu, Qiang
Huang, Jing
Zhang, Qingyu
Yuan, Xiaohui
Li, Jie
description Using visualization methods to describe collaborative relationships can form a more intuitive and conducive graphical representation of these relationships, helping us better understand and analyze complex dynamic collaborative relationships. To explore a suitable visualization form for collaborative relationship analysis, we propose a task classification method to evaluate the two visual methods (node-link and adjacency matrix) which represent the static features and the three methods (animation, small multiples, and timeline) which represent the time characteristics of dynamic graphs. We present an evaluation system and design a task-based user evaluation experiment with the Dutch railway project data. By collecting and analyzing task completion time and error rates, we summarize our findings from the evaluation experiment and list three key recommendations to provide preliminary clues to visual designers: (1) Node-link has a better performance on small-scale project management. (2) Timeline has more advantages in the expression of project time management. (3) Animation will be a good choice when you need to check the status of tasks in the project management for a period of time. These findings can help the designers discover faster and more accurate ways to visualize the characteristics and changes of collaborative relationships, thus promoting the smooth progress of collaborative work.
doi_str_mv 10.1007/s00371-019-01789-1
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2917893162</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2917893162</sourcerecordid><originalsourceid>FETCH-LOGICAL-c313t-c845f4a51275589d7fd9f9045b99390bc771e529bf5acbdf2e8b834794b2ab973</originalsourceid><addsrcrecordid>eNp9kMtKAzEUhoMoWKsv4CrgOpqrmSyl1AsU3Og6JJmknTIzqclMoT69aUdwJySEc_L9J-ED4Jbge4KxfMgYM0kQJqpsWSlEzsCMcEYRZUScg9mxi2i5uQRXOW9xqSVXM2CWe9OOZmhiD8vaN3k0bfM9NTo_bGKdYQywPvSmaxx0sW2NjakAew-Tb09k3jS7DENMcJfi1rsBdqY3a9_5frgGF8G02d_8nnPw-bz8WLyi1fvL2-JphRwjbECu4iJwIwiVQlSqlqFWQWEurFJMYeukJF5QZYMwztaB-spWjEvFLTVWSTYHd9Pc8oWv0edBb-OY-vKkpurohJFHWig6US7FnJMPepeazqSDJlgfVepJpS4q9UmlJiXEplAucL_26W_0P6kf9fl4xg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2917893162</pqid></control><display><type>article</type><title>Evaluation on visualization methods of dynamic collaborative relationships for project management</title><source>SpringerLink Journals</source><source>ProQuest Central</source><creator>Lu, Qiang ; Huang, Jing ; Zhang, Qingyu ; Yuan, Xiaohui ; Li, Jie</creator><creatorcontrib>Lu, Qiang ; Huang, Jing ; Zhang, Qingyu ; Yuan, Xiaohui ; Li, Jie</creatorcontrib><description>Using visualization methods to describe collaborative relationships can form a more intuitive and conducive graphical representation of these relationships, helping us better understand and analyze complex dynamic collaborative relationships. To explore a suitable visualization form for collaborative relationship analysis, we propose a task classification method to evaluate the two visual methods (node-link and adjacency matrix) which represent the static features and the three methods (animation, small multiples, and timeline) which represent the time characteristics of dynamic graphs. We present an evaluation system and design a task-based user evaluation experiment with the Dutch railway project data. By collecting and analyzing task completion time and error rates, we summarize our findings from the evaluation experiment and list three key recommendations to provide preliminary clues to visual designers: (1) Node-link has a better performance on small-scale project management. (2) Timeline has more advantages in the expression of project time management. (3) Animation will be a good choice when you need to check the status of tasks in the project management for a period of time. These findings can help the designers discover faster and more accurate ways to visualize the characteristics and changes of collaborative relationships, thus promoting the smooth progress of collaborative work.</description><identifier>ISSN: 0178-2789</identifier><identifier>EISSN: 1432-2315</identifier><identifier>DOI: 10.1007/s00371-019-01789-1</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Animation ; Artificial Intelligence ; Classification ; Collaboration ; Collaborative work ; Completion time ; Computer Graphics ; Computer Science ; Computer supported cooperative work ; Design ; Error analysis ; Experiments ; Graph representations ; Graphical representations ; Image Processing and Computer Vision ; Methods ; Original Article ; Performance evaluation ; Project management ; Social networks ; Software ; Time management ; Visualization</subject><ispartof>The Visual computer, 2021, Vol.37 (1), p.161-174</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2020</rights><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2020.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c313t-c845f4a51275589d7fd9f9045b99390bc771e529bf5acbdf2e8b834794b2ab973</cites><orcidid>0000-0003-0554-7497</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00371-019-01789-1$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2917893162?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,776,780,21367,27901,27902,33721,41464,42533,43781,51294</link.rule.ids></links><search><creatorcontrib>Lu, Qiang</creatorcontrib><creatorcontrib>Huang, Jing</creatorcontrib><creatorcontrib>Zhang, Qingyu</creatorcontrib><creatorcontrib>Yuan, Xiaohui</creatorcontrib><creatorcontrib>Li, Jie</creatorcontrib><title>Evaluation on visualization methods of dynamic collaborative relationships for project management</title><title>The Visual computer</title><addtitle>Vis Comput</addtitle><description>Using visualization methods to describe collaborative relationships can form a more intuitive and conducive graphical representation of these relationships, helping us better understand and analyze complex dynamic collaborative relationships. To explore a suitable visualization form for collaborative relationship analysis, we propose a task classification method to evaluate the two visual methods (node-link and adjacency matrix) which represent the static features and the three methods (animation, small multiples, and timeline) which represent the time characteristics of dynamic graphs. We present an evaluation system and design a task-based user evaluation experiment with the Dutch railway project data. By collecting and analyzing task completion time and error rates, we summarize our findings from the evaluation experiment and list three key recommendations to provide preliminary clues to visual designers: (1) Node-link has a better performance on small-scale project management. (2) Timeline has more advantages in the expression of project time management. (3) Animation will be a good choice when you need to check the status of tasks in the project management for a period of time. These findings can help the designers discover faster and more accurate ways to visualize the characteristics and changes of collaborative relationships, thus promoting the smooth progress of collaborative work.</description><subject>Animation</subject><subject>Artificial Intelligence</subject><subject>Classification</subject><subject>Collaboration</subject><subject>Collaborative work</subject><subject>Completion time</subject><subject>Computer Graphics</subject><subject>Computer Science</subject><subject>Computer supported cooperative work</subject><subject>Design</subject><subject>Error analysis</subject><subject>Experiments</subject><subject>Graph representations</subject><subject>Graphical representations</subject><subject>Image Processing and Computer Vision</subject><subject>Methods</subject><subject>Original Article</subject><subject>Performance evaluation</subject><subject>Project management</subject><subject>Social networks</subject><subject>Software</subject><subject>Time management</subject><subject>Visualization</subject><issn>0178-2789</issn><issn>1432-2315</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9kMtKAzEUhoMoWKsv4CrgOpqrmSyl1AsU3Og6JJmknTIzqclMoT69aUdwJySEc_L9J-ED4Jbge4KxfMgYM0kQJqpsWSlEzsCMcEYRZUScg9mxi2i5uQRXOW9xqSVXM2CWe9OOZmhiD8vaN3k0bfM9NTo_bGKdYQywPvSmaxx0sW2NjakAew-Tb09k3jS7DENMcJfi1rsBdqY3a9_5frgGF8G02d_8nnPw-bz8WLyi1fvL2-JphRwjbECu4iJwIwiVQlSqlqFWQWEurFJMYeukJF5QZYMwztaB-spWjEvFLTVWSTYHd9Pc8oWv0edBb-OY-vKkpurohJFHWig6US7FnJMPepeazqSDJlgfVepJpS4q9UmlJiXEplAucL_26W_0P6kf9fl4xg</recordid><startdate>2021</startdate><enddate>2021</enddate><creator>Lu, Qiang</creator><creator>Huang, Jing</creator><creator>Zhang, Qingyu</creator><creator>Yuan, Xiaohui</creator><creator>Li, Jie</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><orcidid>https://orcid.org/0000-0003-0554-7497</orcidid></search><sort><creationdate>2021</creationdate><title>Evaluation on visualization methods of dynamic collaborative relationships for project management</title><author>Lu, Qiang ; Huang, Jing ; Zhang, Qingyu ; Yuan, Xiaohui ; Li, Jie</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c313t-c845f4a51275589d7fd9f9045b99390bc771e529bf5acbdf2e8b834794b2ab973</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Animation</topic><topic>Artificial Intelligence</topic><topic>Classification</topic><topic>Collaboration</topic><topic>Collaborative work</topic><topic>Completion time</topic><topic>Computer Graphics</topic><topic>Computer Science</topic><topic>Computer supported cooperative work</topic><topic>Design</topic><topic>Error analysis</topic><topic>Experiments</topic><topic>Graph representations</topic><topic>Graphical representations</topic><topic>Image Processing and Computer Vision</topic><topic>Methods</topic><topic>Original Article</topic><topic>Performance evaluation</topic><topic>Project management</topic><topic>Social networks</topic><topic>Software</topic><topic>Time management</topic><topic>Visualization</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lu, Qiang</creatorcontrib><creatorcontrib>Huang, Jing</creatorcontrib><creatorcontrib>Zhang, Qingyu</creatorcontrib><creatorcontrib>Yuan, Xiaohui</creatorcontrib><creatorcontrib>Li, Jie</creatorcontrib><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><jtitle>The Visual computer</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lu, Qiang</au><au>Huang, Jing</au><au>Zhang, Qingyu</au><au>Yuan, Xiaohui</au><au>Li, Jie</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluation on visualization methods of dynamic collaborative relationships for project management</atitle><jtitle>The Visual computer</jtitle><stitle>Vis Comput</stitle><date>2021</date><risdate>2021</risdate><volume>37</volume><issue>1</issue><spage>161</spage><epage>174</epage><pages>161-174</pages><issn>0178-2789</issn><eissn>1432-2315</eissn><abstract>Using visualization methods to describe collaborative relationships can form a more intuitive and conducive graphical representation of these relationships, helping us better understand and analyze complex dynamic collaborative relationships. To explore a suitable visualization form for collaborative relationship analysis, we propose a task classification method to evaluate the two visual methods (node-link and adjacency matrix) which represent the static features and the three methods (animation, small multiples, and timeline) which represent the time characteristics of dynamic graphs. We present an evaluation system and design a task-based user evaluation experiment with the Dutch railway project data. By collecting and analyzing task completion time and error rates, we summarize our findings from the evaluation experiment and list three key recommendations to provide preliminary clues to visual designers: (1) Node-link has a better performance on small-scale project management. (2) Timeline has more advantages in the expression of project time management. (3) Animation will be a good choice when you need to check the status of tasks in the project management for a period of time. These findings can help the designers discover faster and more accurate ways to visualize the characteristics and changes of collaborative relationships, thus promoting the smooth progress of collaborative work.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s00371-019-01789-1</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0003-0554-7497</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 0178-2789
ispartof The Visual computer, 2021, Vol.37 (1), p.161-174
issn 0178-2789
1432-2315
language eng
recordid cdi_proquest_journals_2917893162
source SpringerLink Journals; ProQuest Central
subjects Animation
Artificial Intelligence
Classification
Collaboration
Collaborative work
Completion time
Computer Graphics
Computer Science
Computer supported cooperative work
Design
Error analysis
Experiments
Graph representations
Graphical representations
Image Processing and Computer Vision
Methods
Original Article
Performance evaluation
Project management
Social networks
Software
Time management
Visualization
title Evaluation on visualization methods of dynamic collaborative relationships for project management
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-14T07%3A02%3A58IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Evaluation%20on%20visualization%20methods%20of%20dynamic%20collaborative%20relationships%20for%20project%20management&rft.jtitle=The%20Visual%20computer&rft.au=Lu,%20Qiang&rft.date=2021&rft.volume=37&rft.issue=1&rft.spage=161&rft.epage=174&rft.pages=161-174&rft.issn=0178-2789&rft.eissn=1432-2315&rft_id=info:doi/10.1007/s00371-019-01789-1&rft_dat=%3Cproquest_cross%3E2917893162%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2917893162&rft_id=info:pmid/&rfr_iscdi=true