{"title":"面向自动驾驶的高水平综合舒适性模型","authors":"Veronika Domova, Rebecca M. Currano, D. Sirkin","doi":"10.1145/3544999.3555725","DOIUrl":null,"url":null,"abstract":"Although the extant literature on comfort in the autonomous driving research is extensive, no integrative model has been proposed that includes major comfort-influencing factors and their interrelations. In this work, we conduct a literature review and elicit automation-related factors that directly influence a driver’s comfort. The 6 groups of factors include the driving environment, vehicle and automation, and the user’s activity, personality, and understanding of the system. We then structure these in a model comprising environment-, vehicle-, and user-related categories. The resulting framework supports framing research questions about comfort in automation.","PeriodicalId":350782,"journal":{"name":"Adjunct Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications","volume":"495 ","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Toward a High-Level Integrative Comfort Model in Autonomous Driving\",\"authors\":\"Veronika Domova, Rebecca M. Currano, D. Sirkin\",\"doi\":\"10.1145/3544999.3555725\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Although the extant literature on comfort in the autonomous driving research is extensive, no integrative model has been proposed that includes major comfort-influencing factors and their interrelations. In this work, we conduct a literature review and elicit automation-related factors that directly influence a driver’s comfort. The 6 groups of factors include the driving environment, vehicle and automation, and the user’s activity, personality, and understanding of the system. We then structure these in a model comprising environment-, vehicle-, and user-related categories. The resulting framework supports framing research questions about comfort in automation.\",\"PeriodicalId\":350782,\"journal\":{\"name\":\"Adjunct Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications\",\"volume\":\"495 \",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Adjunct Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3544999.3555725\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Adjunct Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3544999.3555725","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Toward a High-Level Integrative Comfort Model in Autonomous Driving
Although the extant literature on comfort in the autonomous driving research is extensive, no integrative model has been proposed that includes major comfort-influencing factors and their interrelations. In this work, we conduct a literature review and elicit automation-related factors that directly influence a driver’s comfort. The 6 groups of factors include the driving environment, vehicle and automation, and the user’s activity, personality, and understanding of the system. We then structure these in a model comprising environment-, vehicle-, and user-related categories. The resulting framework supports framing research questions about comfort in automation.