{"title":"Social interactions between automated vehicles and human drivers: a narrative review.","authors":"Peng Liu","doi":"10.1080/00140139.2024.2435038","DOIUrl":null,"url":null,"abstract":"<p><p>Roads are social spaces where human road users engage in communication, cooperation, and competition. With the introduction of automated vehicles (AVs) into this space, it becomes crucial to understand human-AV social interactions. This narrative review examines current research in this emerging field, synthesising insights from empirical studies that compare human-human interactions (regular traffic) with human-AV interactions (mixed traffic). We reviewed empirical studies using survey experiments, simulator experiments, test-track experiments, on-road observations, and AV accident analysis. They present mixed evidence on the influences of human-AV interactions in mixed traffic, with an overall negative trend. Negative influences are bi-directional: humans may interact with AVs less cautiously, such as driving more aggressively or exploiting AVs, while AVs can induce negative changes in driver behaviours, including exerting negative peer influences and creating challenges for drivers. We develop a typology of problematic social interactions and highlight outstanding research opportunities.</p>","PeriodicalId":50503,"journal":{"name":"Ergonomics","volume":" ","pages":"1-20"},"PeriodicalIF":2.0000,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ergonomics","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/00140139.2024.2435038","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
引用次数: 0
Abstract
Roads are social spaces where human road users engage in communication, cooperation, and competition. With the introduction of automated vehicles (AVs) into this space, it becomes crucial to understand human-AV social interactions. This narrative review examines current research in this emerging field, synthesising insights from empirical studies that compare human-human interactions (regular traffic) with human-AV interactions (mixed traffic). We reviewed empirical studies using survey experiments, simulator experiments, test-track experiments, on-road observations, and AV accident analysis. They present mixed evidence on the influences of human-AV interactions in mixed traffic, with an overall negative trend. Negative influences are bi-directional: humans may interact with AVs less cautiously, such as driving more aggressively or exploiting AVs, while AVs can induce negative changes in driver behaviours, including exerting negative peer influences and creating challenges for drivers. We develop a typology of problematic social interactions and highlight outstanding research opportunities.
期刊介绍:
Ergonomics, also known as human factors, is the scientific discipline that seeks to understand and improve human interactions with products, equipment, environments and systems. Drawing upon human biology, psychology, engineering and design, Ergonomics aims to develop and apply knowledge and techniques to optimise system performance, whilst protecting the health, safety and well-being of individuals involved. The attention of ergonomics extends across work, leisure and other aspects of our daily lives.
The journal Ergonomics is an international refereed publication, with a 60 year tradition of disseminating high quality research. Original submissions, both theoretical and applied, are invited from across the subject, including physical, cognitive, organisational and environmental ergonomics. Papers reporting the findings of research from cognate disciplines are also welcome, where these contribute to understanding equipment, tasks, jobs, systems and environments and the corresponding needs, abilities and limitations of people.
All published research articles in this journal have undergone rigorous peer review, based on initial editor screening and anonymous refereeing by independent expert referees.