The Validity of the SEEV Model as a Process Measure of Situation Awareness: The Example of a Simulated Endotracheal Intubation
Objective In the context of anesthesiology, we investigated whether the salience effort expectancy value (SEEV) model fit is associated with situation awareness and perception scores. Background The distribution of visual attention is important for situation awareness—that is, understanding what is...
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Veröffentlicht in: | Human factors 2022-11, Vol.64 (7), p.1181-1194 |
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creator | Grundgeiger, Tobias Hohm, Anna Michalek, Annabell Egenolf, Timo Markus, Christian Happel, Oliver |
description | Objective
In the context of anesthesiology, we investigated whether the salience effort expectancy value (SEEV) model fit is associated with situation awareness and perception scores.
Background
The distribution of visual attention is important for situation awareness—that is, understanding what is going on—in safety-critical domains. Although the SEEV model has been suggested as a process situation awareness measure, the validity of the model as a predictor of situation awareness has not been tested.
Method
In a medical simulation, 31 senior and 30 junior anesthesiologists wore a mobile eye tracker and induced general anesthesia into a simulated patient. When inserting a breathing tube into the mannequin’s trachea (endotracheal intubation), the scenario included several clinically relevant events for situation awareness and general events in the environment. Both were assessed using direct awareness measures.
Results
The overall SEEV model fit was good with no difference between junior and senior anesthesiologists. Overall, the situation awareness scores were low. As expected, the SEEV model fits showed significant positive correlations with situation awareness level 1 scores.
Conclusion
The SEEV model seems to be suitable as a process situation awareness measure to predict and investigate the perception of changes in the environment (situation awareness level 1). The situation awareness scores indicated that anesthesiologists seem not to perceive the environment well during endotracheal intubation.
Application
The SEEV model fit can be used to capture and assess situation awareness level 1. During endotracheal intubation, anesthesiologists should be supported by technology or staff to notice changes in the environment. |
doi_str_mv | 10.1177/0018720821991651 |
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In the context of anesthesiology, we investigated whether the salience effort expectancy value (SEEV) model fit is associated with situation awareness and perception scores.
Background
The distribution of visual attention is important for situation awareness—that is, understanding what is going on—in safety-critical domains. Although the SEEV model has been suggested as a process situation awareness measure, the validity of the model as a predictor of situation awareness has not been tested.
Method
In a medical simulation, 31 senior and 30 junior anesthesiologists wore a mobile eye tracker and induced general anesthesia into a simulated patient. When inserting a breathing tube into the mannequin’s trachea (endotracheal intubation), the scenario included several clinically relevant events for situation awareness and general events in the environment. Both were assessed using direct awareness measures.
Results
The overall SEEV model fit was good with no difference between junior and senior anesthesiologists. Overall, the situation awareness scores were low. As expected, the SEEV model fits showed significant positive correlations with situation awareness level 1 scores.
Conclusion
The SEEV model seems to be suitable as a process situation awareness measure to predict and investigate the perception of changes in the environment (situation awareness level 1). The situation awareness scores indicated that anesthesiologists seem not to perceive the environment well during endotracheal intubation.
Application
The SEEV model fit can be used to capture and assess situation awareness level 1. During endotracheal intubation, anesthesiologists should be supported by technology or staff to notice changes in the environment.</description><identifier>ISSN: 0018-7208</identifier><identifier>EISSN: 1547-8181</identifier><identifier>DOI: 10.1177/0018720821991651</identifier><identifier>PMID: 33596693</identifier><language>eng</language><publisher>Los Angeles, CA: SAGE Publications</publisher><subject>Anesthesia ; Anesthesiology ; Attention ; Cognition ; Environmental changes ; Expectancy ; Intubation ; Laryngoscopy ; Mannequins ; Medical personnel ; Perception ; Safety critical ; Simulation ; Situational awareness ; Trachea ; Visual perception</subject><ispartof>Human factors, 2022-11, Vol.64 (7), p.1181-1194</ispartof><rights>Copyright © 2021, The Author(s)</rights><rights>Copyright © 2021, The Author(s) 2021 Human Factors and Ergonomics Society</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c516t-9fbfad11f0e0f4093c53488a4249ec548904cd2aea1e59286ebc244bfb2069cd3</citedby><cites>FETCH-LOGICAL-c516t-9fbfad11f0e0f4093c53488a4249ec548904cd2aea1e59286ebc244bfb2069cd3</cites><orcidid>0000-0002-3471-2343</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.sagepub.com/doi/pdf/10.1177/0018720821991651$$EPDF$$P50$$Gsage$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.1177/0018720821991651$$EHTML$$P50$$Gsage$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,21799,27903,27904,43600,43601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33596693$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Grundgeiger, Tobias</creatorcontrib><creatorcontrib>Hohm, Anna</creatorcontrib><creatorcontrib>Michalek, Annabell</creatorcontrib><creatorcontrib>Egenolf, Timo</creatorcontrib><creatorcontrib>Markus, Christian</creatorcontrib><creatorcontrib>Happel, Oliver</creatorcontrib><title>The Validity of the SEEV Model as a Process Measure of Situation Awareness: The Example of a Simulated Endotracheal Intubation</title><title>Human factors</title><addtitle>Hum Factors</addtitle><description>Objective
In the context of anesthesiology, we investigated whether the salience effort expectancy value (SEEV) model fit is associated with situation awareness and perception scores.
Background
The distribution of visual attention is important for situation awareness—that is, understanding what is going on—in safety-critical domains. Although the SEEV model has been suggested as a process situation awareness measure, the validity of the model as a predictor of situation awareness has not been tested.
Method
In a medical simulation, 31 senior and 30 junior anesthesiologists wore a mobile eye tracker and induced general anesthesia into a simulated patient. When inserting a breathing tube into the mannequin’s trachea (endotracheal intubation), the scenario included several clinically relevant events for situation awareness and general events in the environment. Both were assessed using direct awareness measures.
Results
The overall SEEV model fit was good with no difference between junior and senior anesthesiologists. Overall, the situation awareness scores were low. As expected, the SEEV model fits showed significant positive correlations with situation awareness level 1 scores.
Conclusion
The SEEV model seems to be suitable as a process situation awareness measure to predict and investigate the perception of changes in the environment (situation awareness level 1). The situation awareness scores indicated that anesthesiologists seem not to perceive the environment well during endotracheal intubation.
Application
The SEEV model fit can be used to capture and assess situation awareness level 1. During endotracheal intubation, anesthesiologists should be supported by technology or staff to notice changes in the environment.</description><subject>Anesthesia</subject><subject>Anesthesiology</subject><subject>Attention</subject><subject>Cognition</subject><subject>Environmental changes</subject><subject>Expectancy</subject><subject>Intubation</subject><subject>Laryngoscopy</subject><subject>Mannequins</subject><subject>Medical personnel</subject><subject>Perception</subject><subject>Safety critical</subject><subject>Simulation</subject><subject>Situational awareness</subject><subject>Trachea</subject><subject>Visual perception</subject><issn>0018-7208</issn><issn>1547-8181</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>AFRWT</sourceid><recordid>eNp1kUFv1DAQhS0EotvCnROyxIVLwHbsxOaAVFUpVGoFUkuv1sSZdFMl8WIntL3w23G6paWVONnW--bNGw8hbzj7wHlZfmSM61IwLbgxvFD8GVlxJctMc82fk9UiZ4u-Q3ZjvGSMFSZXL8lOnitTpPuK_D5bIz2Hvmu66Yb6lk7pfVpV5_TEN9hTiBTo9-AdxkhPEOIccMFOu2mGqfMj3b-CgGOSP9HFq7qGYdPfMpCoYe5hwoZWY-OnAG6N0NOjcZrr2-pX5EULfcTXd-ce-XFYnR18zY6_fTk62D_OnOLFlJm2bqHhvGXIWslM7lQutQYppEGnpDZMukYAAkdlhC6wdkLKuq1FGtk1-R75vPXdzPWAjcMxhentJnQDhBvrobOPlbFb2wv_yxpVJnedDN7fGQT_c8Y42aGLDvseRvRztCkIZ-mrpUrouyfopZ_DmMazohRSS6GlSRTbUi74GAO292E4s8ty7dPlppK3_w5xX_B3mwnItkCEC3zo-l_DP_LvrLs</recordid><startdate>20221101</startdate><enddate>20221101</enddate><creator>Grundgeiger, Tobias</creator><creator>Hohm, Anna</creator><creator>Michalek, Annabell</creator><creator>Egenolf, Timo</creator><creator>Markus, Christian</creator><creator>Happel, Oliver</creator><general>SAGE Publications</general><general>Human Factors and Ergonomics Society</general><scope>AFRWT</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><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-3471-2343</orcidid></search><sort><creationdate>20221101</creationdate><title>The Validity of the SEEV Model as a Process Measure of Situation Awareness: The Example of a Simulated Endotracheal Intubation</title><author>Grundgeiger, Tobias ; Hohm, Anna ; Michalek, Annabell ; Egenolf, Timo ; Markus, Christian ; Happel, Oliver</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c516t-9fbfad11f0e0f4093c53488a4249ec548904cd2aea1e59286ebc244bfb2069cd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Anesthesia</topic><topic>Anesthesiology</topic><topic>Attention</topic><topic>Cognition</topic><topic>Environmental changes</topic><topic>Expectancy</topic><topic>Intubation</topic><topic>Laryngoscopy</topic><topic>Mannequins</topic><topic>Medical personnel</topic><topic>Perception</topic><topic>Safety critical</topic><topic>Simulation</topic><topic>Situational awareness</topic><topic>Trachea</topic><topic>Visual perception</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Grundgeiger, Tobias</creatorcontrib><creatorcontrib>Hohm, Anna</creatorcontrib><creatorcontrib>Michalek, Annabell</creatorcontrib><creatorcontrib>Egenolf, Timo</creatorcontrib><creatorcontrib>Markus, Christian</creatorcontrib><creatorcontrib>Happel, Oliver</creatorcontrib><collection>Sage Journals GOLD Open Access 2024</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><collection>PubMed Central (Full Participant titles)</collection><jtitle>Human factors</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Grundgeiger, Tobias</au><au>Hohm, Anna</au><au>Michalek, Annabell</au><au>Egenolf, Timo</au><au>Markus, Christian</au><au>Happel, Oliver</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Validity of the SEEV Model as a Process Measure of Situation Awareness: The Example of a Simulated Endotracheal Intubation</atitle><jtitle>Human factors</jtitle><addtitle>Hum Factors</addtitle><date>2022-11-01</date><risdate>2022</risdate><volume>64</volume><issue>7</issue><spage>1181</spage><epage>1194</epage><pages>1181-1194</pages><issn>0018-7208</issn><eissn>1547-8181</eissn><abstract>Objective
In the context of anesthesiology, we investigated whether the salience effort expectancy value (SEEV) model fit is associated with situation awareness and perception scores.
Background
The distribution of visual attention is important for situation awareness—that is, understanding what is going on—in safety-critical domains. Although the SEEV model has been suggested as a process situation awareness measure, the validity of the model as a predictor of situation awareness has not been tested.
Method
In a medical simulation, 31 senior and 30 junior anesthesiologists wore a mobile eye tracker and induced general anesthesia into a simulated patient. When inserting a breathing tube into the mannequin’s trachea (endotracheal intubation), the scenario included several clinically relevant events for situation awareness and general events in the environment. Both were assessed using direct awareness measures.
Results
The overall SEEV model fit was good with no difference between junior and senior anesthesiologists. Overall, the situation awareness scores were low. As expected, the SEEV model fits showed significant positive correlations with situation awareness level 1 scores.
Conclusion
The SEEV model seems to be suitable as a process situation awareness measure to predict and investigate the perception of changes in the environment (situation awareness level 1). The situation awareness scores indicated that anesthesiologists seem not to perceive the environment well during endotracheal intubation.
Application
The SEEV model fit can be used to capture and assess situation awareness level 1. During endotracheal intubation, anesthesiologists should be supported by technology or staff to notice changes in the environment.</abstract><cop>Los Angeles, CA</cop><pub>SAGE Publications</pub><pmid>33596693</pmid><doi>10.1177/0018720821991651</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0002-3471-2343</orcidid><oa>free_for_read</oa></addata></record> |
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language | eng |
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source | SAGE Complete A-Z List |
subjects | Anesthesia Anesthesiology Attention Cognition Environmental changes Expectancy Intubation Laryngoscopy Mannequins Medical personnel Perception Safety critical Simulation Situational awareness Trachea Visual perception |
title | The Validity of the SEEV Model as a Process Measure of Situation Awareness: The Example of a Simulated Endotracheal Intubation |
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