E. Kassens-Noor, Mark Wilson, Meng Cai, Noah J. Durst, Travis Decaminada
{"title":"自动驾驶汽车与自动驾驶汽车:语言塑造公众认知的力量","authors":"E. Kassens-Noor, Mark Wilson, Meng Cai, Noah J. Durst, Travis Decaminada","doi":"10.1080/10630732.2020.1847983","DOIUrl":null,"url":null,"abstract":"ABSTRACT Public perception of the next generation of vehicles will affect their design, deployment, and ultimately their use. As the engineering terms of self-driving, driverless, fully automated, and autonomous were introduced to the social sciences and the public at large, the subtle differences among these terms have been lost. However, using them as synonyms even though they may not be interchangeable is problematic. To explore the semantics of different future vehicle terms we surveyed 963 Michigan residents on their understanding of “autonomous” and “self-driving.” We found significant differences in perceptions between the terms autonomous and self-driving vehicles. While the former invokes many more uncertain responses, the latter is laden with concerns. These results suggest that the language used to describe the next generation of vehicles may shape public reaction and acceptance. As new mobility options are introduced to the public, our understanding of them will be shaped, in part, by the language used to name and explain the technology. Far from being inconsequential, word choice plays a major, yet underappreciated, role in shaping public opinion.","PeriodicalId":47593,"journal":{"name":"Journal of Urban Technology","volume":"21 1","pages":"5 - 24"},"PeriodicalIF":4.6000,"publicationDate":"2020-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":"{\"title\":\"Autonomous vs. Self-Driving Vehicles: The Power of Language to Shape Public Perceptions\",\"authors\":\"E. Kassens-Noor, Mark Wilson, Meng Cai, Noah J. Durst, Travis Decaminada\",\"doi\":\"10.1080/10630732.2020.1847983\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT Public perception of the next generation of vehicles will affect their design, deployment, and ultimately their use. As the engineering terms of self-driving, driverless, fully automated, and autonomous were introduced to the social sciences and the public at large, the subtle differences among these terms have been lost. However, using them as synonyms even though they may not be interchangeable is problematic. To explore the semantics of different future vehicle terms we surveyed 963 Michigan residents on their understanding of “autonomous” and “self-driving.” We found significant differences in perceptions between the terms autonomous and self-driving vehicles. While the former invokes many more uncertain responses, the latter is laden with concerns. These results suggest that the language used to describe the next generation of vehicles may shape public reaction and acceptance. As new mobility options are introduced to the public, our understanding of them will be shaped, in part, by the language used to name and explain the technology. Far from being inconsequential, word choice plays a major, yet underappreciated, role in shaping public opinion.\",\"PeriodicalId\":47593,\"journal\":{\"name\":\"Journal of Urban Technology\",\"volume\":\"21 1\",\"pages\":\"5 - 24\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2020-12-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"21\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Urban Technology\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://doi.org/10.1080/10630732.2020.1847983\",\"RegionNum\":3,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"URBAN STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Urban Technology","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1080/10630732.2020.1847983","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"URBAN STUDIES","Score":null,"Total":0}
Autonomous vs. Self-Driving Vehicles: The Power of Language to Shape Public Perceptions
ABSTRACT Public perception of the next generation of vehicles will affect their design, deployment, and ultimately their use. As the engineering terms of self-driving, driverless, fully automated, and autonomous were introduced to the social sciences and the public at large, the subtle differences among these terms have been lost. However, using them as synonyms even though they may not be interchangeable is problematic. To explore the semantics of different future vehicle terms we surveyed 963 Michigan residents on their understanding of “autonomous” and “self-driving.” We found significant differences in perceptions between the terms autonomous and self-driving vehicles. While the former invokes many more uncertain responses, the latter is laden with concerns. These results suggest that the language used to describe the next generation of vehicles may shape public reaction and acceptance. As new mobility options are introduced to the public, our understanding of them will be shaped, in part, by the language used to name and explain the technology. Far from being inconsequential, word choice plays a major, yet underappreciated, role in shaping public opinion.
期刊介绍:
The Journal of Urban Technology publishes articles that review and analyze developments in urban technologies as well as articles that study the history and the political, economic, environmental, social, esthetic, and ethical effects of those technologies. The goal of the journal is, through education and discussion, to maximize the positive and minimize the adverse effects of technology on cities. The journal"s mission is to open a conversation between specialists and non-specialists (or among practitioners of different specialities) and is designed for both scholars and a general audience whose businesses, occupations, professions, or studies require that they become aware of the effects of new technologies on urban environments.