{"title":"可靠性及其框架和误差偏差对人车协作信任的影响","authors":"Jue Li, Yilu Ye, Long Liu, Andreas Butz","doi":"10.1002/hfm.70008","DOIUrl":null,"url":null,"abstract":"<p>System reliability promotes trust, but may also impair human monitoring performance and in turn affects trust. This effect varies across different errors. This study examined the effect of automation reliability (100%, 75%, and 50%) and its framing (negative and positive description of reliability), and error bias (false alarm and miss) on user trust and its related factors in the automated driving system (ADS). Each participant completed 16 trials with human-vehicle collaboration task in a static driving simulator. The results showed that ADS with higher reliability positively impact user trust, but negatively impact situation awareness. Users' trust was higher in false alarm (FA) events than in miss events, but task success and situation awareness were higher in miss events. This study revealed an unusual negative correlation between trust and situational awareness in human-vehicle collaboration and provided possible insights into the internal factors of error bias in automation. Our finding has implications for reliability disclosure strategies and trust calibration.</p>","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":"35 3","pages":""},"PeriodicalIF":2.2000,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hfm.70008","citationCount":"0","resultStr":"{\"title\":\"Effect of Reliability, Its Framing and Error Bias on Trust in Human-Vehicle Collaboration\",\"authors\":\"Jue Li, Yilu Ye, Long Liu, Andreas Butz\",\"doi\":\"10.1002/hfm.70008\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>System reliability promotes trust, but may also impair human monitoring performance and in turn affects trust. This effect varies across different errors. This study examined the effect of automation reliability (100%, 75%, and 50%) and its framing (negative and positive description of reliability), and error bias (false alarm and miss) on user trust and its related factors in the automated driving system (ADS). Each participant completed 16 trials with human-vehicle collaboration task in a static driving simulator. The results showed that ADS with higher reliability positively impact user trust, but negatively impact situation awareness. Users' trust was higher in false alarm (FA) events than in miss events, but task success and situation awareness were higher in miss events. This study revealed an unusual negative correlation between trust and situational awareness in human-vehicle collaboration and provided possible insights into the internal factors of error bias in automation. Our finding has implications for reliability disclosure strategies and trust calibration.</p>\",\"PeriodicalId\":55048,\"journal\":{\"name\":\"Human Factors and Ergonomics in Manufacturing & Service Industries\",\"volume\":\"35 3\",\"pages\":\"\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2025-05-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hfm.70008\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Human Factors and Ergonomics in Manufacturing & Service Industries\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/hfm.70008\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, MANUFACTURING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Human Factors and Ergonomics in Manufacturing & Service Industries","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/hfm.70008","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, MANUFACTURING","Score":null,"Total":0}
Effect of Reliability, Its Framing and Error Bias on Trust in Human-Vehicle Collaboration
System reliability promotes trust, but may also impair human monitoring performance and in turn affects trust. This effect varies across different errors. This study examined the effect of automation reliability (100%, 75%, and 50%) and its framing (negative and positive description of reliability), and error bias (false alarm and miss) on user trust and its related factors in the automated driving system (ADS). Each participant completed 16 trials with human-vehicle collaboration task in a static driving simulator. The results showed that ADS with higher reliability positively impact user trust, but negatively impact situation awareness. Users' trust was higher in false alarm (FA) events than in miss events, but task success and situation awareness were higher in miss events. This study revealed an unusual negative correlation between trust and situational awareness in human-vehicle collaboration and provided possible insights into the internal factors of error bias in automation. Our finding has implications for reliability disclosure strategies and trust calibration.
期刊介绍：
The purpose of Human Factors and Ergonomics in Manufacturing & Service Industries is to facilitate discovery, integration, and application of scientific knowledge about human aspects of manufacturing, and to provide a forum for worldwide dissemination of such knowledge for its application and benefit to manufacturing industries. The journal covers a broad spectrum of ergonomics and human factors issues with a focus on the design, operation and management of contemporary manufacturing systems, both in the shop floor and office environments, in the quest for manufacturing agility, i.e. enhancement and integration of human skills with hardware performance for improved market competitiveness, management of change, product and process quality, and human-system reliability. The inter- and cross-disciplinary nature of the journal allows for a wide scope of issues relevant to manufacturing system design and engineering, human resource management, social, organizational, safety, and health issues. Examples of specific subject areas of interest include: implementation of advanced manufacturing technology, human aspects of computer-aided design and engineering, work design, compensation and appraisal, selection training and education, labor-management relations, agile manufacturing and virtual companies, human factors in total quality management, prevention of work-related musculoskeletal disorders, ergonomics of workplace, equipment and tool design, ergonomics programs, guides and standards for industry, automation safety and robot systems, human skills development and knowledge enhancing technologies, reliability, and safety and worker health issues.
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