{"title":"用户建模以支持智能环境中的行为建模","authors":"Oluwande Adewoyin, J. Wesson, Dieter Vogts","doi":"10.1109/NextComp55567.2022.9932209","DOIUrl":null,"url":null,"abstract":"Behavioural modelling in smart environments has the capability to allow the adequate provision of services to users of smart environments with inputs from user modelling. Although promising behavioural models developed for users in smart and normal environments already exist, the effectiveness of these behavioural models in terms of user-specific preferences is unclear. This study aims to investigate ways in which user models can be constructed for behavioural modelling purposes in smart environments. To achieve this aim, the Generic User Model was developed to cater for the limitations of existing user models by ensuring that behavioural modelling and monitoring are conducted by using inputs from the user model. The Generic User Model comprises five sub models, namely, static, dynamic, internal activity and external context models.","PeriodicalId":422085,"journal":{"name":"2022 3rd International Conference on Next Generation Computing Applications (NextComp)","volume":"204 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"User Modelling to support Behavioural Modelling in Smart Environments\",\"authors\":\"Oluwande Adewoyin, J. Wesson, Dieter Vogts\",\"doi\":\"10.1109/NextComp55567.2022.9932209\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Behavioural modelling in smart environments has the capability to allow the adequate provision of services to users of smart environments with inputs from user modelling. Although promising behavioural models developed for users in smart and normal environments already exist, the effectiveness of these behavioural models in terms of user-specific preferences is unclear. This study aims to investigate ways in which user models can be constructed for behavioural modelling purposes in smart environments. To achieve this aim, the Generic User Model was developed to cater for the limitations of existing user models by ensuring that behavioural modelling and monitoring are conducted by using inputs from the user model. The Generic User Model comprises five sub models, namely, static, dynamic, internal activity and external context models.\",\"PeriodicalId\":422085,\"journal\":{\"name\":\"2022 3rd International Conference on Next Generation Computing Applications (NextComp)\",\"volume\":\"204 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 3rd International Conference on Next Generation Computing Applications (NextComp)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NextComp55567.2022.9932209\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 3rd International Conference on Next Generation Computing Applications (NextComp)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NextComp55567.2022.9932209","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
User Modelling to support Behavioural Modelling in Smart Environments
Behavioural modelling in smart environments has the capability to allow the adequate provision of services to users of smart environments with inputs from user modelling. Although promising behavioural models developed for users in smart and normal environments already exist, the effectiveness of these behavioural models in terms of user-specific preferences is unclear. This study aims to investigate ways in which user models can be constructed for behavioural modelling purposes in smart environments. To achieve this aim, the Generic User Model was developed to cater for the limitations of existing user models by ensuring that behavioural modelling and monitoring are conducted by using inputs from the user model. The Generic User Model comprises five sub models, namely, static, dynamic, internal activity and external context models.