{"title":"The impact of personality traits on automation complacency in human-machine collaborative systems","authors":"Xiaofang Yuan, Kexin Han, Yuming Sun","doi":"10.1002/jsid.2091","DOIUrl":null,"url":null,"abstract":"<p>This study investigates the impact of five personality traits of operators on automation complacency within human-machine collaborative systems. The aim is to provide a basis for the design of human-machine collaborative systems, thereby optimizing the systems to accommodate users with different personality traits and improving the safety and efficiency of collaboration. An experiment was conducted on the OpenMATB (Open-source Multi-Attribute Task Battery) platform, collecting data on personality traits, automation complacency scale scores, task performance metrics, and EEG (Electroencephalography) data from 48 participants. The analysis revealed that individuals with low conscientiousness, high openness, and low agreeableness are more likely to exhibit automation complacency. Conversely, individuals with low neuroticism and extraversion did not show significant differences in automation complacency.</p>","PeriodicalId":49979,"journal":{"name":"Journal of the Society for Information Display","volume":"33 7","pages":"880-893"},"PeriodicalIF":2.2000,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Society for Information Display","FirstCategoryId":"5","ListUrlMain":"https://sid.onlinelibrary.wiley.com/doi/10.1002/jsid.2091","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
This study investigates the impact of five personality traits of operators on automation complacency within human-machine collaborative systems. The aim is to provide a basis for the design of human-machine collaborative systems, thereby optimizing the systems to accommodate users with different personality traits and improving the safety and efficiency of collaboration. An experiment was conducted on the OpenMATB (Open-source Multi-Attribute Task Battery) platform, collecting data on personality traits, automation complacency scale scores, task performance metrics, and EEG (Electroencephalography) data from 48 participants. The analysis revealed that individuals with low conscientiousness, high openness, and low agreeableness are more likely to exhibit automation complacency. Conversely, individuals with low neuroticism and extraversion did not show significant differences in automation complacency.
期刊介绍：
The Journal of the Society for Information Display publishes original works dealing with the theory and practice of information display. Coverage includes materials, devices and systems; the underlying chemistry, physics, physiology and psychology; measurement techniques, manufacturing technologies; and all aspects of the interaction between equipment and its users. Review articles are also published in all of these areas. Occasional special issues or sections consist of collections of papers on specific topical areas or collections of full length papers based in part on oral or poster presentations given at SID sponsored conferences.
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