Sebastian Zepf, Monique Dittrich, Javier Hernández, Alexander Schmitt
{"title":"走向移情汽车界面:驾驶时的情感触发","authors":"Sebastian Zepf, Monique Dittrich, Javier Hernández, Alexander Schmitt","doi":"10.1145/3290607.3312883","DOIUrl":null,"url":null,"abstract":"Monitoring the emotions of drivers can play a critical role to reduce road accidents and enable novel driver-car interactions. To help understand the possibilities, this work systematically studies the in-road triggers that may lead to different emotional states. In particular, we monitored the experience of 33 drivers during 50 minutes of naturalistic driving each. With a total of 531 voice self-reports, we identified four main groups of emotional triggers based on their originating source, being those related to human-machine interaction and navigation the ones that more commonly elicited negative emotions. Based on the findings, this work provides some recommendations for potential future emotion-enabled interventions.","PeriodicalId":389485,"journal":{"name":"Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"33","resultStr":"{\"title\":\"Towards Empathetic Car Interfaces: Emotional Triggers while Driving\",\"authors\":\"Sebastian Zepf, Monique Dittrich, Javier Hernández, Alexander Schmitt\",\"doi\":\"10.1145/3290607.3312883\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Monitoring the emotions of drivers can play a critical role to reduce road accidents and enable novel driver-car interactions. To help understand the possibilities, this work systematically studies the in-road triggers that may lead to different emotional states. In particular, we monitored the experience of 33 drivers during 50 minutes of naturalistic driving each. With a total of 531 voice self-reports, we identified four main groups of emotional triggers based on their originating source, being those related to human-machine interaction and navigation the ones that more commonly elicited negative emotions. Based on the findings, this work provides some recommendations for potential future emotion-enabled interventions.\",\"PeriodicalId\":389485,\"journal\":{\"name\":\"Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-05-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"33\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3290607.3312883\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3290607.3312883","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Towards Empathetic Car Interfaces: Emotional Triggers while Driving
Monitoring the emotions of drivers can play a critical role to reduce road accidents and enable novel driver-car interactions. To help understand the possibilities, this work systematically studies the in-road triggers that may lead to different emotional states. In particular, we monitored the experience of 33 drivers during 50 minutes of naturalistic driving each. With a total of 531 voice self-reports, we identified four main groups of emotional triggers based on their originating source, being those related to human-machine interaction and navigation the ones that more commonly elicited negative emotions. Based on the findings, this work provides some recommendations for potential future emotion-enabled interventions.