{"title":"卡在卡车后面:一种有效应对自动化系统局限性的协作交互设计方法","authors":"Jürgen Pichen, M. Baumann, T. Stoll","doi":"10.1145/3349263.3351519","DOIUrl":null,"url":null,"abstract":"Even though automated driving seems to be a promising approach, an arising problem is the cars possible disability to fulfill the needed requirements efficiently in specific situations. Recent research is addressing driver take-over requests coping with these limitations. A more efficient way is to support the vehicle cooperatively and address the particular requirements that the car cannot meet sufficiently. Based on the examination of human information processing and behavioral execution processes a new interface framework, which relies on learned behavior patterns, is presented. A simulator study compared touch interaction with the proposed approach and a gesture control for maneuver initiation without a complete take-over. The new approach seems to improve the assurance behavior and proper situation awareness, whereas usability mistakes were found in the practical implementation of the new interaction concept.","PeriodicalId":237150,"journal":{"name":"Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Stuck behind a truck: a cooperative interaction design approach to efficiently cope with the limitations of automated systems\",\"authors\":\"Jürgen Pichen, M. Baumann, T. Stoll\",\"doi\":\"10.1145/3349263.3351519\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Even though automated driving seems to be a promising approach, an arising problem is the cars possible disability to fulfill the needed requirements efficiently in specific situations. Recent research is addressing driver take-over requests coping with these limitations. A more efficient way is to support the vehicle cooperatively and address the particular requirements that the car cannot meet sufficiently. Based on the examination of human information processing and behavioral execution processes a new interface framework, which relies on learned behavior patterns, is presented. A simulator study compared touch interaction with the proposed approach and a gesture control for maneuver initiation without a complete take-over. The new approach seems to improve the assurance behavior and proper situation awareness, whereas usability mistakes were found in the practical implementation of the new interaction concept.\",\"PeriodicalId\":237150,\"journal\":{\"name\":\"Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3349263.3351519\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3349263.3351519","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Stuck behind a truck: a cooperative interaction design approach to efficiently cope with the limitations of automated systems
Even though automated driving seems to be a promising approach, an arising problem is the cars possible disability to fulfill the needed requirements efficiently in specific situations. Recent research is addressing driver take-over requests coping with these limitations. A more efficient way is to support the vehicle cooperatively and address the particular requirements that the car cannot meet sufficiently. Based on the examination of human information processing and behavioral execution processes a new interface framework, which relies on learned behavior patterns, is presented. A simulator study compared touch interaction with the proposed approach and a gesture control for maneuver initiation without a complete take-over. The new approach seems to improve the assurance behavior and proper situation awareness, whereas usability mistakes were found in the practical implementation of the new interaction concept.