Measuring Real-Time Team Cognition During Team Training
Objective A method for detecting real-time changes in team cognition in the form of significant communication reorganizations is described. We demonstrate the method in the context of scenario-based simulation training. Background We present the dynamical view that individual- and team-level aspects...
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Veröffentlicht in: | Human factors 2020-08, Vol.62 (5), p.825-860 |
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creator | Gorman, Jamie C. Grimm, David A. Stevens, Ronald H. Galloway, Trysha Willemsen-Dunlap, Ann M. Halpin, Donald J. |
description | Objective
A method for detecting real-time changes in team cognition in the form of significant communication reorganizations is described. We demonstrate the method in the context of scenario-based simulation training.
Background
We present the dynamical view that individual- and team-level aspects of team cognition are temporally intertwined in a team’s real-time response to challenging events. We suggest that this real-time response represents a fundamental team cognitive skill regarding the rapidity and appropriateness of the response, and methods and metrics are needed to track this skill.
Method
Communication data from medical teams (Study 1) and submarine crews (Study 2) were analyzed for significant communication reorganization in response to training events. Mutual information between team members informed post hoc filtering to identify which team members contributed to reorganization.
Results
Significant communication reorganizations corresponding to challenging training events were detected for all teams. Less experienced teams tended to show delayed and sometimes ineffective responses that more experienced teams did not. Mutual information and post hoc filtering identified the individual-level inputs driving reorganization and potential mechanisms (e.g., leadership emergence, role restructuring) underlying reorganization.
Conclusion
The ability of teams to rapidly and effectively reorganize coordination patterns as the situation demands is a team cognitive skill that can be measured and tracked.
Application
Potential applications include team monitoring and assessment that would allow for visualization of a team’s real-time response and provide individualized feedback based on team member’s contributions to the team response. |
doi_str_mv | 10.1177/0018720819852791 |
format | Article |
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A method for detecting real-time changes in team cognition in the form of significant communication reorganizations is described. We demonstrate the method in the context of scenario-based simulation training.
Background
We present the dynamical view that individual- and team-level aspects of team cognition are temporally intertwined in a team’s real-time response to challenging events. We suggest that this real-time response represents a fundamental team cognitive skill regarding the rapidity and appropriateness of the response, and methods and metrics are needed to track this skill.
Method
Communication data from medical teams (Study 1) and submarine crews (Study 2) were analyzed for significant communication reorganization in response to training events. Mutual information between team members informed post hoc filtering to identify which team members contributed to reorganization.
Results
Significant communication reorganizations corresponding to challenging training events were detected for all teams. Less experienced teams tended to show delayed and sometimes ineffective responses that more experienced teams did not. Mutual information and post hoc filtering identified the individual-level inputs driving reorganization and potential mechanisms (e.g., leadership emergence, role restructuring) underlying reorganization.
Conclusion
The ability of teams to rapidly and effectively reorganize coordination patterns as the situation demands is a team cognitive skill that can be measured and tracked.
Application
Potential applications include team monitoring and assessment that would allow for visualization of a team’s real-time response and provide individualized feedback based on team member’s contributions to the team response.</description><identifier>ISSN: 0018-7208</identifier><identifier>EISSN: 1547-8181</identifier><identifier>DOI: 10.1177/0018720819852791</identifier><identifier>PMID: 31211924</identifier><language>eng</language><publisher>Los Angeles, CA: SAGE Publications</publisher><subject>Behavioral Sciences ; Change detection ; Cognition ; Cognition & reasoning ; Cognitive ability ; Communication ; Engineering ; Engineering, Industrial ; Ergonomics ; Filtration ; Leadership ; Life Sciences & Biomedicine ; Psychology ; Psychology, Applied ; Real time ; Science & Technology ; Social Sciences ; Space life sciences ; Teams ; Technology ; Time response ; Training</subject><ispartof>Human factors, 2020-08, Vol.62 (5), p.825-860</ispartof><rights>2019, Human Factors and Ergonomics Society</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>43</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000546605400011</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c408t-45247f0d29a8522d144d2a170db5ac5f8dfaea1a61d7aa4939625afda7d69ada3</citedby><cites>FETCH-LOGICAL-c408t-45247f0d29a8522d144d2a170db5ac5f8dfaea1a61d7aa4939625afda7d69ada3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.sagepub.com/doi/pdf/10.1177/0018720819852791$$EPDF$$P50$$Gsage$$H</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.1177/0018720819852791$$EHTML$$P50$$Gsage$$H</linktohtml><link.rule.ids>315,782,786,21828,27933,27934,28257,28258,43630,43631</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31211924$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gorman, Jamie C.</creatorcontrib><creatorcontrib>Grimm, David A.</creatorcontrib><creatorcontrib>Stevens, Ronald H.</creatorcontrib><creatorcontrib>Galloway, Trysha</creatorcontrib><creatorcontrib>Willemsen-Dunlap, Ann M.</creatorcontrib><creatorcontrib>Halpin, Donald J.</creatorcontrib><title>Measuring Real-Time Team Cognition During Team Training</title><title>Human factors</title><addtitle>HUM FACTORS</addtitle><addtitle>Hum Factors</addtitle><description>Objective
A method for detecting real-time changes in team cognition in the form of significant communication reorganizations is described. We demonstrate the method in the context of scenario-based simulation training.
Background
We present the dynamical view that individual- and team-level aspects of team cognition are temporally intertwined in a team’s real-time response to challenging events. We suggest that this real-time response represents a fundamental team cognitive skill regarding the rapidity and appropriateness of the response, and methods and metrics are needed to track this skill.
Method
Communication data from medical teams (Study 1) and submarine crews (Study 2) were analyzed for significant communication reorganization in response to training events. Mutual information between team members informed post hoc filtering to identify which team members contributed to reorganization.
Results
Significant communication reorganizations corresponding to challenging training events were detected for all teams. Less experienced teams tended to show delayed and sometimes ineffective responses that more experienced teams did not. Mutual information and post hoc filtering identified the individual-level inputs driving reorganization and potential mechanisms (e.g., leadership emergence, role restructuring) underlying reorganization.
Conclusion
The ability of teams to rapidly and effectively reorganize coordination patterns as the situation demands is a team cognitive skill that can be measured and tracked.
Application
Potential applications include team monitoring and assessment that would allow for visualization of a team’s real-time response and provide individualized feedback based on team member’s contributions to the team response.</description><subject>Behavioral Sciences</subject><subject>Change detection</subject><subject>Cognition</subject><subject>Cognition & reasoning</subject><subject>Cognitive ability</subject><subject>Communication</subject><subject>Engineering</subject><subject>Engineering, Industrial</subject><subject>Ergonomics</subject><subject>Filtration</subject><subject>Leadership</subject><subject>Life Sciences & Biomedicine</subject><subject>Psychology</subject><subject>Psychology, Applied</subject><subject>Real time</subject><subject>Science & Technology</subject><subject>Social Sciences</subject><subject>Space life sciences</subject><subject>Teams</subject><subject>Technology</subject><subject>Time response</subject><subject>Training</subject><issn>0018-7208</issn><issn>1547-8181</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>AOWDO</sourceid><sourceid>ARHDP</sourceid><recordid>eNqNkd1LwzAUxYMobk7ffZKBL4JUc9OkaR6lfsJEkPpc7pp0ZKztbFrE_97UzgkDwZckN_d3DjcnhJwCvQKQ8ppSiCWjMahYMKlgj4xBcBnEEMM-GfftoO-PyJFzS0pppEJxSEYhMADF-JjIZ4Oua2y1mL4aXAWpLc00NVhOk3pR2dbW1fR26H_fpg3aylfH5KDAlTMnm31C3u7v0uQxmL08PCU3syDnNG4DLhiXBdVMoZ-QaeBcMwRJ9VxgLopYF2gQMAItEbkKVcQEFhqljhRqDCfkYvBdN_V7Z1ybldblZrXCytSdyxjjIVdRGEqPnu-gy7prKj9dxjhTVAqIuKfoQOVN7Vxjimzd2BKbzwxo1oea7YbqJWcb425eGr0V_KTogcsB-DDzunC5NVVutpiPXfAo8os_QW8X_59ObIv9JyR1V7VeGgxShwvz-7w_J_8CCg-c1g</recordid><startdate>20200801</startdate><enddate>20200801</enddate><creator>Gorman, Jamie C.</creator><creator>Grimm, David A.</creator><creator>Stevens, Ronald H.</creator><creator>Galloway, Trysha</creator><creator>Willemsen-Dunlap, Ann M.</creator><creator>Halpin, Donald J.</creator><general>SAGE Publications</general><general>Sage</general><general>Human Factors and Ergonomics Society</general><scope>17B</scope><scope>AOWDO</scope><scope>ARHDP</scope><scope>BLEPL</scope><scope>DTL</scope><scope>DVR</scope><scope>EGQ</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7T2</scope><scope>7TA</scope><scope>7TB</scope><scope>7TK</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>JG9</scope><scope>JQ2</scope><scope>K9.</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>7X8</scope></search><sort><creationdate>20200801</creationdate><title>Measuring Real-Time Team Cognition During Team Training</title><author>Gorman, Jamie C. ; Grimm, David A. ; Stevens, Ronald H. ; Galloway, Trysha ; Willemsen-Dunlap, Ann M. ; Halpin, Donald J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c408t-45247f0d29a8522d144d2a170db5ac5f8dfaea1a61d7aa4939625afda7d69ada3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Behavioral Sciences</topic><topic>Change detection</topic><topic>Cognition</topic><topic>Cognition & reasoning</topic><topic>Cognitive ability</topic><topic>Communication</topic><topic>Engineering</topic><topic>Engineering, Industrial</topic><topic>Ergonomics</topic><topic>Filtration</topic><topic>Leadership</topic><topic>Life Sciences & Biomedicine</topic><topic>Psychology</topic><topic>Psychology, Applied</topic><topic>Real time</topic><topic>Science & Technology</topic><topic>Social Sciences</topic><topic>Space life sciences</topic><topic>Teams</topic><topic>Technology</topic><topic>Time response</topic><topic>Training</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gorman, Jamie C.</creatorcontrib><creatorcontrib>Grimm, David A.</creatorcontrib><creatorcontrib>Stevens, Ronald H.</creatorcontrib><creatorcontrib>Galloway, Trysha</creatorcontrib><creatorcontrib>Willemsen-Dunlap, Ann M.</creatorcontrib><creatorcontrib>Halpin, Donald J.</creatorcontrib><collection>Web of Knowledge</collection><collection>Web of Science - Science Citation Index Expanded - 2020</collection><collection>Web of Science - Social Sciences Citation Index – 2020</collection><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>Social Sciences Citation Index</collection><collection>Web of Science Primary (SCIE, SSCI & AHCI)</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>MEDLINE - Academic</collection><jtitle>Human factors</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gorman, Jamie C.</au><au>Grimm, David A.</au><au>Stevens, Ronald H.</au><au>Galloway, Trysha</au><au>Willemsen-Dunlap, Ann M.</au><au>Halpin, Donald J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Measuring Real-Time Team Cognition During Team Training</atitle><jtitle>Human factors</jtitle><stitle>HUM FACTORS</stitle><addtitle>Hum Factors</addtitle><date>2020-08-01</date><risdate>2020</risdate><volume>62</volume><issue>5</issue><spage>825</spage><epage>860</epage><pages>825-860</pages><issn>0018-7208</issn><eissn>1547-8181</eissn><abstract>Objective
A method for detecting real-time changes in team cognition in the form of significant communication reorganizations is described. We demonstrate the method in the context of scenario-based simulation training.
Background
We present the dynamical view that individual- and team-level aspects of team cognition are temporally intertwined in a team’s real-time response to challenging events. We suggest that this real-time response represents a fundamental team cognitive skill regarding the rapidity and appropriateness of the response, and methods and metrics are needed to track this skill.
Method
Communication data from medical teams (Study 1) and submarine crews (Study 2) were analyzed for significant communication reorganization in response to training events. Mutual information between team members informed post hoc filtering to identify which team members contributed to reorganization.
Results
Significant communication reorganizations corresponding to challenging training events were detected for all teams. Less experienced teams tended to show delayed and sometimes ineffective responses that more experienced teams did not. Mutual information and post hoc filtering identified the individual-level inputs driving reorganization and potential mechanisms (e.g., leadership emergence, role restructuring) underlying reorganization.
Conclusion
The ability of teams to rapidly and effectively reorganize coordination patterns as the situation demands is a team cognitive skill that can be measured and tracked.
Application
Potential applications include team monitoring and assessment that would allow for visualization of a team’s real-time response and provide individualized feedback based on team member’s contributions to the team response.</abstract><cop>Los Angeles, CA</cop><pub>SAGE Publications</pub><pmid>31211924</pmid><doi>10.1177/0018720819852791</doi><tpages>36</tpages></addata></record> |
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subjects | Behavioral Sciences Change detection Cognition Cognition & reasoning Cognitive ability Communication Engineering Engineering, Industrial Ergonomics Filtration Leadership Life Sciences & Biomedicine Psychology Psychology, Applied Real time Science & Technology Social Sciences Space life sciences Teams Technology Time response Training |
title | Measuring Real-Time Team Cognition During Team Training |
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