{"title":"用眼动和脑电图数据设计首选的美学用户界面","authors":"Shiwei Cheng, Qianjing Wei","doi":"10.1145/3280295.3281748","DOIUrl":null,"url":null,"abstract":"Traditional user interface (UI) optimization design mainly depends on the designer's manual adjustment, however it is a complex and inefficient process, and always dose not match the end users' preference. In order to solve this problem, this paper presents a new method that combines user's eye movement and electroencephalography (EEG) data to drive interactive genetic algorithm (IGA) and optimize UI design solutions automatically. We apply this method to optimize the UI of music player (panel of the software), and the pilot study proves that the method can evolve towards the user's preference and finally obtain the optimized aesthetic design solution that meets the user's preference.","PeriodicalId":103928,"journal":{"name":"Proceedings of the 2018 ACM Companion International Conference on Interactive Surfaces and Spaces","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Design Preferred Aesthetic User Interface with Eye Movement and Electroencephalography Data\",\"authors\":\"Shiwei Cheng, Qianjing Wei\",\"doi\":\"10.1145/3280295.3281748\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Traditional user interface (UI) optimization design mainly depends on the designer's manual adjustment, however it is a complex and inefficient process, and always dose not match the end users' preference. In order to solve this problem, this paper presents a new method that combines user's eye movement and electroencephalography (EEG) data to drive interactive genetic algorithm (IGA) and optimize UI design solutions automatically. We apply this method to optimize the UI of music player (panel of the software), and the pilot study proves that the method can evolve towards the user's preference and finally obtain the optimized aesthetic design solution that meets the user's preference.\",\"PeriodicalId\":103928,\"journal\":{\"name\":\"Proceedings of the 2018 ACM Companion International Conference on Interactive Surfaces and Spaces\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2018 ACM Companion International Conference on Interactive Surfaces and Spaces\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3280295.3281748\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2018 ACM Companion International Conference on Interactive Surfaces and Spaces","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3280295.3281748","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design Preferred Aesthetic User Interface with Eye Movement and Electroencephalography Data
Traditional user interface (UI) optimization design mainly depends on the designer's manual adjustment, however it is a complex and inefficient process, and always dose not match the end users' preference. In order to solve this problem, this paper presents a new method that combines user's eye movement and electroencephalography (EEG) data to drive interactive genetic algorithm (IGA) and optimize UI design solutions automatically. We apply this method to optimize the UI of music player (panel of the software), and the pilot study proves that the method can evolve towards the user's preference and finally obtain the optimized aesthetic design solution that meets the user's preference.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
