Multilevel Confirmatory Factor Analysis Reveals Two Distinct Human–Automation Trust Constructs
Objective This work examined the relationship of the constructs measured by the trust scales developed by Chancey et al. (2017) and Jian et al. (2000) using a multilevel confirmatory factor analysis (CFA). Background Modern theories of automation trust have been proposed based on data collected usin...
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creator | Yamani, Yusuke Long, Shelby K. Sato, Tetsuya Braitman, Abby L. Politowicz, Michael S. Chancey, Eric T. |
description | Objective
This work examined the relationship of the constructs measured by the trust scales developed by Chancey et al. (2017) and Jian et al. (2000) using a multilevel confirmatory factor analysis (CFA).
Background
Modern theories of automation trust have been proposed based on data collected using trust scales. Chancey et al. (2017) adapted Madsen and Gregor’s (2000) trust scale to align with Lee and See’s (2004) human–automation trust framework. In contrast, Jian et al. (2000) developed a scale empirically with trust and distrust as factors. However, it remains unclear whether these two scales measure the same construct.
Method
We analyzed data collected from previous experiments to investigate the relationship between the two trust scales using a multilevel CFA.
Results
Data provided evidence that Jian et al. (2000) and Chancey et al. (2017) automation trust scales are only weakly related. Trust and distrust are found to be distinct factors in Jian et al.’s (2000) scale, whereas performance, process, and purpose are distinct factors in Chancey et al.’s (2017) trust scale.
Conclusion
The analysis suggested that the two scales purporting to measure human–automation trust are only weakly related.
Application
Trust researchers and automation designers may consider using Chancey et al. (2017) and Jian et al. (2000) scales to capture different characteristics of human–automation trust. |
doi_str_mv | 10.1177/00187208241263774 |
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fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_3084028058</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sage_id>10.1177_00187208241263774</sage_id><sourcerecordid>3084028058</sourcerecordid><originalsourceid>FETCH-LOGICAL-c250t-95e45c8b35fe361cef691d91281a818eda75d91725d040ab747e399a45a7f07d3</originalsourceid><addsrcrecordid>eNp1kMtKw0AUhgdRbL08gBsJuHETPXPLTJalWisogtR1nCYTSUkyOhelO9_BN_RJnFIvoLg6HM73_4f_R-gAwwnGQpwCYCkISMIwyagQbAMNMWcilVjiTTRc3dMVMEA7zi0AIMsp30YDmgMjkvIhur8OrW9a_azbZGz6urGd8sYuk4kq40xGvWqXrnHJbURU65LZi0nOGuebvvTJNHSqf399GwVvoq4xfTKzwfmVlfM2lN7toa066vT-59xFd5Pz2XiaXt1cXI5HV2lJOPg055rxUs4przXNcKnrLMdVjonEKqbRlRI8roLwChiouWBC0zxXjCtRg6joLjpe-z5a8xS080XXuFK3req1Ca6gIBkQCVxG9OgXujDBxqCRwoxkHAvIIoXXVGmNc1bXxaNtOmWXBYZiVX_xp_6oOfx0DvNOV9-Kr74jcLIGnHrQP2__d_wAQ_SNkQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3142651706</pqid></control><display><type>article</type><title>Multilevel Confirmatory Factor Analysis Reveals Two Distinct Human–Automation Trust Constructs</title><source>MEDLINE</source><source>SAGE Complete</source><creator>Yamani, Yusuke ; Long, Shelby K. ; Sato, Tetsuya ; Braitman, Abby L. ; Politowicz, Michael S. ; Chancey, Eric T.</creator><creatorcontrib>Yamani, Yusuke ; Long, Shelby K. ; Sato, Tetsuya ; Braitman, Abby L. ; Politowicz, Michael S. ; Chancey, Eric T.</creatorcontrib><description>Objective
This work examined the relationship of the constructs measured by the trust scales developed by Chancey et al. (2017) and Jian et al. (2000) using a multilevel confirmatory factor analysis (CFA).
Background
Modern theories of automation trust have been proposed based on data collected using trust scales. Chancey et al. (2017) adapted Madsen and Gregor’s (2000) trust scale to align with Lee and See’s (2004) human–automation trust framework. In contrast, Jian et al. (2000) developed a scale empirically with trust and distrust as factors. However, it remains unclear whether these two scales measure the same construct.
Method
We analyzed data collected from previous experiments to investigate the relationship between the two trust scales using a multilevel CFA.
Results
Data provided evidence that Jian et al. (2000) and Chancey et al. (2017) automation trust scales are only weakly related. Trust and distrust are found to be distinct factors in Jian et al.’s (2000) scale, whereas performance, process, and purpose are distinct factors in Chancey et al.’s (2017) trust scale.
Conclusion
The analysis suggested that the two scales purporting to measure human–automation trust are only weakly related.
Application
Trust researchers and automation designers may consider using Chancey et al. (2017) and Jian et al. (2000) scales to capture different characteristics of human–automation trust.</description><identifier>ISSN: 0018-7208</identifier><identifier>ISSN: 1547-8181</identifier><identifier>EISSN: 1547-8181</identifier><identifier>DOI: 10.1177/00187208241263774</identifier><identifier>PMID: 39042835</identifier><language>eng</language><publisher>Los Angeles, CA: SAGE Publications</publisher><subject>Adult ; Automation ; Data analysis ; Discriminant analysis ; Factor analysis ; Factor Analysis, Statistical ; Female ; Humans ; Male ; Man-Machine Systems ; Multilevel ; Trust</subject><ispartof>Human factors, 2025-02, Vol.67 (2), p.166-180</ispartof><rights>2024 Human Factors and Ergonomics Society</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c250t-95e45c8b35fe361cef691d91281a818eda75d91725d040ab747e399a45a7f07d3</cites><orcidid>0000-0001-8990-0010</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.sagepub.com/doi/pdf/10.1177/00187208241263774$$EPDF$$P50$$Gsage$$H</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.1177/00187208241263774$$EHTML$$P50$$Gsage$$H</linktohtml><link.rule.ids>314,776,780,21798,27901,27902,43597,43598</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39042835$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Yamani, Yusuke</creatorcontrib><creatorcontrib>Long, Shelby K.</creatorcontrib><creatorcontrib>Sato, Tetsuya</creatorcontrib><creatorcontrib>Braitman, Abby L.</creatorcontrib><creatorcontrib>Politowicz, Michael S.</creatorcontrib><creatorcontrib>Chancey, Eric T.</creatorcontrib><title>Multilevel Confirmatory Factor Analysis Reveals Two Distinct Human–Automation Trust Constructs</title><title>Human factors</title><addtitle>Hum Factors</addtitle><description>Objective
This work examined the relationship of the constructs measured by the trust scales developed by Chancey et al. (2017) and Jian et al. (2000) using a multilevel confirmatory factor analysis (CFA).
Background
Modern theories of automation trust have been proposed based on data collected using trust scales. Chancey et al. (2017) adapted Madsen and Gregor’s (2000) trust scale to align with Lee and See’s (2004) human–automation trust framework. In contrast, Jian et al. (2000) developed a scale empirically with trust and distrust as factors. However, it remains unclear whether these two scales measure the same construct.
Method
We analyzed data collected from previous experiments to investigate the relationship between the two trust scales using a multilevel CFA.
Results
Data provided evidence that Jian et al. (2000) and Chancey et al. (2017) automation trust scales are only weakly related. Trust and distrust are found to be distinct factors in Jian et al.’s (2000) scale, whereas performance, process, and purpose are distinct factors in Chancey et al.’s (2017) trust scale.
Conclusion
The analysis suggested that the two scales purporting to measure human–automation trust are only weakly related.
Application
Trust researchers and automation designers may consider using Chancey et al. (2017) and Jian et al. (2000) scales to capture different characteristics of human–automation trust.</description><subject>Adult</subject><subject>Automation</subject><subject>Data analysis</subject><subject>Discriminant analysis</subject><subject>Factor analysis</subject><subject>Factor Analysis, Statistical</subject><subject>Female</subject><subject>Humans</subject><subject>Male</subject><subject>Man-Machine Systems</subject><subject>Multilevel</subject><subject>Trust</subject><issn>0018-7208</issn><issn>1547-8181</issn><issn>1547-8181</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2025</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kMtKw0AUhgdRbL08gBsJuHETPXPLTJalWisogtR1nCYTSUkyOhelO9_BN_RJnFIvoLg6HM73_4f_R-gAwwnGQpwCYCkISMIwyagQbAMNMWcilVjiTTRc3dMVMEA7zi0AIMsp30YDmgMjkvIhur8OrW9a_azbZGz6urGd8sYuk4kq40xGvWqXrnHJbURU65LZi0nOGuebvvTJNHSqf399GwVvoq4xfTKzwfmVlfM2lN7toa066vT-59xFd5Pz2XiaXt1cXI5HV2lJOPg055rxUs4przXNcKnrLMdVjonEKqbRlRI8roLwChiouWBC0zxXjCtRg6joLjpe-z5a8xS080XXuFK3req1Ca6gIBkQCVxG9OgXujDBxqCRwoxkHAvIIoXXVGmNc1bXxaNtOmWXBYZiVX_xp_6oOfx0DvNOV9-Kr74jcLIGnHrQP2__d_wAQ_SNkQ</recordid><startdate>202502</startdate><enddate>202502</enddate><creator>Yamani, Yusuke</creator><creator>Long, Shelby K.</creator><creator>Sato, Tetsuya</creator><creator>Braitman, Abby L.</creator><creator>Politowicz, Michael S.</creator><creator>Chancey, Eric T.</creator><general>SAGE Publications</general><general>Human Factors and Ergonomics Society</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</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><orcidid>https://orcid.org/0000-0001-8990-0010</orcidid></search><sort><creationdate>202502</creationdate><title>Multilevel Confirmatory Factor Analysis Reveals Two Distinct Human–Automation Trust Constructs</title><author>Yamani, Yusuke ; Long, Shelby K. ; Sato, Tetsuya ; Braitman, Abby L. ; Politowicz, Michael S. ; Chancey, Eric T.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c250t-95e45c8b35fe361cef691d91281a818eda75d91725d040ab747e399a45a7f07d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2025</creationdate><topic>Adult</topic><topic>Automation</topic><topic>Data analysis</topic><topic>Discriminant analysis</topic><topic>Factor analysis</topic><topic>Factor Analysis, Statistical</topic><topic>Female</topic><topic>Humans</topic><topic>Male</topic><topic>Man-Machine Systems</topic><topic>Multilevel</topic><topic>Trust</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yamani, Yusuke</creatorcontrib><creatorcontrib>Long, Shelby K.</creatorcontrib><creatorcontrib>Sato, Tetsuya</creatorcontrib><creatorcontrib>Braitman, Abby L.</creatorcontrib><creatorcontrib>Politowicz, Michael S.</creatorcontrib><creatorcontrib>Chancey, Eric T.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</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>Yamani, Yusuke</au><au>Long, Shelby K.</au><au>Sato, Tetsuya</au><au>Braitman, Abby L.</au><au>Politowicz, Michael S.</au><au>Chancey, Eric T.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multilevel Confirmatory Factor Analysis Reveals Two Distinct Human–Automation Trust Constructs</atitle><jtitle>Human factors</jtitle><addtitle>Hum Factors</addtitle><date>2025-02</date><risdate>2025</risdate><volume>67</volume><issue>2</issue><spage>166</spage><epage>180</epage><pages>166-180</pages><issn>0018-7208</issn><issn>1547-8181</issn><eissn>1547-8181</eissn><abstract>Objective
This work examined the relationship of the constructs measured by the trust scales developed by Chancey et al. (2017) and Jian et al. (2000) using a multilevel confirmatory factor analysis (CFA).
Background
Modern theories of automation trust have been proposed based on data collected using trust scales. Chancey et al. (2017) adapted Madsen and Gregor’s (2000) trust scale to align with Lee and See’s (2004) human–automation trust framework. In contrast, Jian et al. (2000) developed a scale empirically with trust and distrust as factors. However, it remains unclear whether these two scales measure the same construct.
Method
We analyzed data collected from previous experiments to investigate the relationship between the two trust scales using a multilevel CFA.
Results
Data provided evidence that Jian et al. (2000) and Chancey et al. (2017) automation trust scales are only weakly related. Trust and distrust are found to be distinct factors in Jian et al.’s (2000) scale, whereas performance, process, and purpose are distinct factors in Chancey et al.’s (2017) trust scale.
Conclusion
The analysis suggested that the two scales purporting to measure human–automation trust are only weakly related.
Application
Trust researchers and automation designers may consider using Chancey et al. (2017) and Jian et al. (2000) scales to capture different characteristics of human–automation trust.</abstract><cop>Los Angeles, CA</cop><pub>SAGE Publications</pub><pmid>39042835</pmid><doi>10.1177/00187208241263774</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0001-8990-0010</orcidid></addata></record> |
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subjects | Adult Automation Data analysis Discriminant analysis Factor analysis Factor Analysis, Statistical Female Humans Male Man-Machine Systems Multilevel Trust |
title | Multilevel Confirmatory Factor Analysis Reveals Two Distinct Human–Automation Trust Constructs |
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