Asier Aztiria, A. Izaguirre, R. Basagoiti, J. Augusto
{"title":"了解用户在智能环境中的偏好和常见行为","authors":"Asier Aztiria, A. Izaguirre, R. Basagoiti, J. Augusto","doi":"10.3233/978-1-60750-048-3-289","DOIUrl":null,"url":null,"abstract":"Intelligent Environments are supposed to act proactively anticipating user’s needs and preferences in order to support people in their daily lives. Therefore, the capability of an Intelligent Environment to learn user’s habits and common behaviours becomes an important step towards allowing an environment to provide such personalized services. In this chapter, we use two scenarios, we highlight the opportunities given by learned patterns in order to interpret and understand the habits of the user which allows to automate services in an environment for the benefit of its user. We propose a system which learns user’s patterns of behaviour and an interaction system, based on speech recognition, which facilitates the use of such patterns in real applications.","PeriodicalId":111658,"journal":{"name":"BMI Book","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"27","resultStr":"{\"title\":\"Learning about preferences and common behaviours of the user in an intelligent environment\",\"authors\":\"Asier Aztiria, A. Izaguirre, R. Basagoiti, J. Augusto\",\"doi\":\"10.3233/978-1-60750-048-3-289\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Intelligent Environments are supposed to act proactively anticipating user’s needs and preferences in order to support people in their daily lives. Therefore, the capability of an Intelligent Environment to learn user’s habits and common behaviours becomes an important step towards allowing an environment to provide such personalized services. In this chapter, we use two scenarios, we highlight the opportunities given by learned patterns in order to interpret and understand the habits of the user which allows to automate services in an environment for the benefit of its user. We propose a system which learns user’s patterns of behaviour and an interaction system, based on speech recognition, which facilitates the use of such patterns in real applications.\",\"PeriodicalId\":111658,\"journal\":{\"name\":\"BMI Book\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"27\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BMI Book\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3233/978-1-60750-048-3-289\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMI Book","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/978-1-60750-048-3-289","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Learning about preferences and common behaviours of the user in an intelligent environment
Intelligent Environments are supposed to act proactively anticipating user’s needs and preferences in order to support people in their daily lives. Therefore, the capability of an Intelligent Environment to learn user’s habits and common behaviours becomes an important step towards allowing an environment to provide such personalized services. In this chapter, we use two scenarios, we highlight the opportunities given by learned patterns in order to interpret and understand the habits of the user which allows to automate services in an environment for the benefit of its user. We propose a system which learns user’s patterns of behaviour and an interaction system, based on speech recognition, which facilitates the use of such patterns in real applications.