Article(id=1281616694187635471, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281616655499366465, articleNumber=null, orderNo=null, doi=10.16265/j.cnki.issn1003-3033.2026.02.1791, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1755619200000, receivedDateStr=2025-08-20, revisedDate=1764345600000, revisedDateStr=2025-11-29, acceptedDate=null, acceptedDateStr=null, onlineDate=1783490831181, onlineDateStr=2026-07-08, pubDate=1772208000000, pubDateStr=2026-02-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1783490831181, onlineIssueDateStr=2026-07-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1783490831181, creator=13701087609, updateTime=1783490831181, updator=13701087609, issue=Issue{id=1281616655499366465, tenantId=1146029695717560320, journalId=1146031787341344770, year='2026', volume='36', issue='2', pageStart='1', pageEnd='270', issueExtLink='null', onlineDate='null', pubDate='1772208000000', pubDateStr='2026-02-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1783490821957, creator='13701087609', updateTime=1783588693138, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1282027157069218127, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281616655499366465, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1282027157069218128, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281616655499366465, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=244, endPage=252, ext={EN=ArticleExt(id=1281616695668224784, articleId=1281616694187635471, tenantId=1146029695717560320, journalId=1146031787341344770, language=EN, title=Impact of human-AI trust on collaborative decision-making quality: mediating role of human-AI shared mental model, columnId=1281608091074543639, journalTitle=China Safety Science Journal, columnName=Intelligent Safety Technology, runingTitle=null, highlight=null, articleAbstract=
In order to enhance human-artificial intelligence(AI) collaborative decision-making quality in complex industrial environments, mitigate the deficiency of human trust in AI, and bridge cognitive gaps in human-AI collaboration, based on the theory of mind, the study constructed a model of the relationship between human-AI trust, Human-AI SMM and human-AI collaborative decision-making quality, and task complexity was introduced as a moderating variable. First, hypotheses were proposed based on the theoretical relationships among the variables, and a questionnaire was designed by integrating the human-AI trust scale, Human-AI SMM scale, the human-AI collaborative decision-making quality scale, and the task complexity scale. Then, the questionnaires were distributed to frontline employees of AI-using companies nationwide, and 493 valid samples were collected. Finally, SPSS 26.0, AMOS 24.0 and Process 4.0 were used for data analysis and hypothesis testing on the collected valid samples. The results of the study show that human-AI trust significantly and positively affects human-AI collaborative decision-making quality. Human-AI SMM mediates the relationship between human-AI trust and human-AI collaborative decision-making quality. Task complexity positively moderates the relationship between human-AI trust and Human-AI SMM.
, authors=Lixia NIU, Yanhong LIN
**, authorsList=Lixia NIU, Yanhong LIN, authorCompany=null, correspAuthors=Yanhong LIN, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1281616695928271633, articleId=1281616694187635471, tenantId=1146029695717560320, journalId=1146031787341344770, language=CN, title=人机信任对协同决策质量的影响:人机共享心智模式的中介作用, columnId=1281608091288453145, journalTitle=中国安全科学学报, columnName=智能安全技术, runingTitle=null, highlight=null, articleAbstract=
为提升复杂工业场景下人机协同决策质量,缓解人类对人工智能(AI)的信任不足并弥合人机协作中的认知差异,基于心智理论,构建人机信任、人机共享心智模式(Human-AI SMM)与人机协同决策质量之间的关系模型,并引入任务复杂性作为调节变量。首先,根据各变量间的理论关系提出假设,并结合人机信任量表、Human-AI SMM量表、人机协同决策质量量表以及任务复杂性量表设计问卷;然后,向全国范围内AI使用企业的一线员工发放问卷,并收集有效样本493份;最后,采用SPSS 26.0、AMOS 24.0及Process 4.0对收集的有效样本进行数据分析与假设检验。结果表明:人机信任显著正向影响人机协同决策质量;Human-AI SMM在人机信任与人机协同决策质量之间起中介作用;任务复杂性正向调节人机信任与Human-AI SMM之间的关系。
, authors=牛莉霞
教授, 林彦宏
**, authorsList=牛莉霞
教授, 林彦宏, authorCompany=null, correspAuthors=林彦宏, authorNote=
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牛莉霞(1983—),女,山西吕梁人,博士,教授,主要从事组织行为管理与人因工程方面的研究。E-mail: nlx8941@126.com。
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牛莉霞(1983—),女,山西吕梁人,博士,教授,主要从事组织行为管理与人因工程方面的研究。E-mail: nlx8941@126.com。
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