{"title":"Context-Triggered Factor of an In-vehicle Adaptive Human-Computer Interface Architecture Based on Context-Awareness and Multi-agent","authors":"Fang You, Jingyu Yao, Jianmin Wang","doi":"10.1109/ICCAE55086.2022.9762428","DOIUrl":null,"url":null,"abstract":"Because providing redundant information for in-vehicle human-computer interactions could increase work and cognitive load, this article developed a conceptual architecture for an in-vehicle adaptive human-computer interface (AHCI) to promote the implementation of a clearer and adaptable interface design, discussed the triggered factor based on context-awareness and multi-agent theories. The article presented how to create an appropriate methodology for developing in-vehicle AHCI that could address the demands of multiple users operating in dynamically changing task processing.","PeriodicalId":294641,"journal":{"name":"2022 14th International Conference on Computer and Automation Engineering (ICCAE)","volume":"187 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 14th International Conference on Computer and Automation Engineering (ICCAE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCAE55086.2022.9762428","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Because providing redundant information for in-vehicle human-computer interactions could increase work and cognitive load, this article developed a conceptual architecture for an in-vehicle adaptive human-computer interface (AHCI) to promote the implementation of a clearer and adaptable interface design, discussed the triggered factor based on context-awareness and multi-agent theories. The article presented how to create an appropriate methodology for developing in-vehicle AHCI that could address the demands of multiple users operating in dynamically changing task processing.