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...
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Veröffentlicht in: | The Visual computer 2021, Vol.37 (1), p.161-174 |
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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 |
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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. 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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 ; 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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 |
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