Article(id=1281616656426320751, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281616655499366465, articleNumber=null, orderNo=null, doi=10.16265/j.cnki.issn1003-3033.2026.02.0459, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1760457600000, receivedDateStr=2025-10-15, revisedDate=1766332800000, revisedDateStr=2025-12-22, acceptedDate=null, acceptedDateStr=null, onlineDate=1783490822178, onlineDateStr=2026-07-08, pubDate=1772208000000, pubDateStr=2026-02-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1783490822178, onlineIssueDateStr=2026-07-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1783490822178, creator=13701087609, updateTime=1783490822178, 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=27, endPage=36, ext={EN=ArticleExt(id=1281616656648618864, articleId=1281616656426320751, tenantId=1146029695717560320, journalId=1146031787341344770, language=EN, title=Association analysis between driving-scenario-induced negative emotions and cognitive load in drivers, columnId=1277328386947150682, journalTitle=China Safety Science Journal, columnName=Safety Science Theories and Methods, runingTitle=null, highlight=null, articleAbstract=

In order to reduce traffic safety incidents, the mechanism by which negative emotions affect drivers' CL was investigated, and the influence of driving scenarios on emotional intensity and multi-channel CL levels was analyzed. A simulated driving experiment was designed, integrating emotion-inducing materials with a driving simulator, and young drivers were recruited to complete driving tasks. The interaction characteristics between negative emotions and CL were systematically examined through the Self-Assessment Manikin (SAM) scale, the VACP multidimensional assessment model, and retrospective interviews. The results indicate that negative emotions significantly increase CL. Specifically, anger and fear tend to trigger transient fluctuations in load, whereas anxiety is associated with the highest average load level. Furthermore, stressors embedded in driving scenarios induce negative emotions of varying intensities: aggressive cut-ins and sudden lane changes commonly elicited high levels of anger. Traffic accidents and pedestrians running red lights predominantly evoke intense fear, and unfamiliar routes primarily trigger heightened anxiety. Finally, emotional intensity is significantly positively correlated with CL level, highly arousing emotions lead to a substantial increase in the demand for visual, cognitive, and motor resources.

, authors=Weiwei WANG, Zhiqiang WEN^**, Xiaoyan YANG, Qizhao PENG, Zihao ZHANG, Congge SHI, authorsList=Weiwei WANG, Zhiqiang WEN, Xiaoyan YANG, Qizhao PENG, Zihao ZHANG, Congge SHI, authorCompany=null, correspAuthors=Zhiqiang WEN, 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=1281616657126769523, articleId=1281616656426320751, tenantId=1146029695717560320, journalId=1146031787341344770, language=CN, title=驾驶情景诱发驾驶员负性情绪与认知负荷的关联分析, columnId=1277328387270112092, journalTitle=中国安全科学学报, columnName=安全科学理论与方法, runingTitle=null, highlight=null, articleAbstract=

为减少交通安全事故，研究负性情绪对驾驶员认知负荷（CL）的作用机制，并分析驾驶情景事件对情绪强度与多通道CL水平的影响；通过模拟驾驶试验设计，结合情绪诱发材料与驾驶模拟器，并招募年轻驾驶员完成驾驶任务；通过自我评估（SAM）量表、视觉-听觉-认知-运动（VACP）多维评估模型和回溯访谈，系统解析负性情绪与CL的交互特征。结果表明：负性情绪显著导致CL增加，其中，愤怒与恐惧易引发瞬时负荷波动，而焦虑状态下的平均负荷最高。其次，情景事件的压力源可诱发不同强度的负性情绪，别车加塞和突然变道等易触发高愤怒；交通事故、行人闯红灯等易引起高恐惧；陌生线路等易触发高焦虑。最后，情绪强度与CL水平呈显著正相关，高唤醒情绪导致视觉、认知及运动资源需求显著增加。

, authors=王伟伟教授, 温志强^**, 杨晓燕, 朋启钊, 张子豪, 史聪格, authorsList=王伟伟教授, 温志强, 杨晓燕, 朋启钊, 张子豪, 史聪格, authorCompany=null, correspAuthors=温志强, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=EBI60xpOIdZRTfgaCcioyg==, magXml=BxSD9P0PlT5El02+3BFqIg==, pdfUrl=null, pdf=gl0jOsD3Kg94oTB+IblhMw==, pdfFileSize=8147734, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=CPBpqCIkB66YLnpGw6wLuw==, mapNumber=null, fund=null)}, authors=[Author(id=1281616657458119544, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1281616656426320751, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=wangweiwei@sust.edu.cn, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1281616657550394234, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1281616656426320751, authorId=1281616657458119544, language=EN, stringName=Weiwei WANG, firstName=Weiwei, middleName=null, lastName=WANG, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=Research Center for Ergonomics, Shaanxi University of Science and Technology, Xi'an Shaanxi 710021, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1281616657617503099, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1281616656426320751, authorId=1281616657458119544, language=CN, stringName=王伟伟教授, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=陕西科技大学 人机工效研究中心，陕西 西安 710021, bio={"content":"

王伟伟（1983—），男，山西长治人，博士，教授，博士生导师，主要从事驾驶人因安全、人机交互和工效学方面的研究。E-mail: wangweiwei@sust.edu.cn。

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王伟伟（1983—），男，山西长治人，博士，教授，博士生导师，主要从事驾驶人因安全、人机交互和工效学方面的研究。E-mail: wangweiwei@sust.edu.cn。

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