Jonas Andersson, Daban Rizgary, Mikael Söderman, Johanna Vännström
{"title":"探索重型车辆的远程操作——模拟器研究的结果","authors":"Jonas Andersson, Daban Rizgary, Mikael Söderman, Johanna Vännström","doi":"10.54941/ahfe1002820","DOIUrl":null,"url":null,"abstract":"Fully automated driving has posed more challenges than expected, and\n remote operation of heavy vehicles is increasingly getting attention.\n Therefore, human remote operators may have an essential role in compensating\n for the technological shortcomings in vehicle automation. This poses\n challenges in designing the work of human remote operators of automated\n heavy vehicles. This paper presents findings from a research project\n performed in collaboration between the RISE Research Institutes of Sweden\n and Scania. In the project, human-automation interaction requirements and\n challenges for remote operator work were explored through a simulator study.\n Before the study, three main operator tasks were defined: assessment,\n assistance, and remote driving. The simulation occurred in a transportation\n scenario where operators handled ten trucks driving on a public road and\n confined areas (transportation hub). Fifteen participants completed the\n study. The results provide examples and insights into classical\n automation-related challenges in a new context – the remote operation of\n heavy vehicles. Instances of challenges with situational awareness,\n out-of-the-loop, trust, and attention management were found and are\n discussed in relation to HMI design and requirements.","PeriodicalId":269162,"journal":{"name":"Proceedings of the 6th International Conference on Intelligent Human Systems Integration (IHSI 2023) Integrating People and Intelligent Systems, February 22–24, 2023, Venice, Italy","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Exploring remote operation of heavy vehicles – findings from a simulator\\n study\",\"authors\":\"Jonas Andersson, Daban Rizgary, Mikael Söderman, Johanna Vännström\",\"doi\":\"10.54941/ahfe1002820\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Fully automated driving has posed more challenges than expected, and\\n remote operation of heavy vehicles is increasingly getting attention.\\n Therefore, human remote operators may have an essential role in compensating\\n for the technological shortcomings in vehicle automation. This poses\\n challenges in designing the work of human remote operators of automated\\n heavy vehicles. This paper presents findings from a research project\\n performed in collaboration between the RISE Research Institutes of Sweden\\n and Scania. In the project, human-automation interaction requirements and\\n challenges for remote operator work were explored through a simulator study.\\n Before the study, three main operator tasks were defined: assessment,\\n assistance, and remote driving. The simulation occurred in a transportation\\n scenario where operators handled ten trucks driving on a public road and\\n confined areas (transportation hub). Fifteen participants completed the\\n study. The results provide examples and insights into classical\\n automation-related challenges in a new context – the remote operation of\\n heavy vehicles. 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Exploring remote operation of heavy vehicles – findings from a simulator
study
Fully automated driving has posed more challenges than expected, and
remote operation of heavy vehicles is increasingly getting attention.
Therefore, human remote operators may have an essential role in compensating
for the technological shortcomings in vehicle automation. This poses
challenges in designing the work of human remote operators of automated
heavy vehicles. This paper presents findings from a research project
performed in collaboration between the RISE Research Institutes of Sweden
and Scania. In the project, human-automation interaction requirements and
challenges for remote operator work were explored through a simulator study.
Before the study, three main operator tasks were defined: assessment,
assistance, and remote driving. The simulation occurred in a transportation
scenario where operators handled ten trucks driving on a public road and
confined areas (transportation hub). Fifteen participants completed the
study. The results provide examples and insights into classical
automation-related challenges in a new context – the remote operation of
heavy vehicles. Instances of challenges with situational awareness,
out-of-the-loop, trust, and attention management were found and are
discussed in relation to HMI design and requirements.