{"title":"快速原型:使用《绿野仙踪》模拟交互式艺术应用程序的机器学习功能","authors":"Alessandra Aleluia, G. Cabral","doi":"10.5753/sbcm.2021.19457","DOIUrl":null,"url":null,"abstract":"In this paper, we present using the Wizard of Oz method to rapid prototyping machine learning features in interactive artistic applications. Machine learning systems often require time and resources until they were available to be executed. But in the era of agile movement where we have to test as soon as possible and in artistic solutions whose scope initially perhaps be unclear, there is a need for a way to fast testing hypothesis. We also briefly described Ama, a system for adult ballet training at home, which served as a proof of concept of our strategy.","PeriodicalId":292360,"journal":{"name":"Anais do XVIII Simpósio Brasileiro de Computação Musical (SBCM 2021)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Rapid prototyping: using Wizard of Oz to emulate machine learning features for interactive artistic applications\",\"authors\":\"Alessandra Aleluia, G. Cabral\",\"doi\":\"10.5753/sbcm.2021.19457\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present using the Wizard of Oz method to rapid prototyping machine learning features in interactive artistic applications. Machine learning systems often require time and resources until they were available to be executed. But in the era of agile movement where we have to test as soon as possible and in artistic solutions whose scope initially perhaps be unclear, there is a need for a way to fast testing hypothesis. We also briefly described Ama, a system for adult ballet training at home, which served as a proof of concept of our strategy.\",\"PeriodicalId\":292360,\"journal\":{\"name\":\"Anais do XVIII Simpósio Brasileiro de Computação Musical (SBCM 2021)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Anais do XVIII Simpósio Brasileiro de Computação Musical (SBCM 2021)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5753/sbcm.2021.19457\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Anais do XVIII Simpósio Brasileiro de Computação Musical (SBCM 2021)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5753/sbcm.2021.19457","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Rapid prototyping: using Wizard of Oz to emulate machine learning features for interactive artistic applications
In this paper, we present using the Wizard of Oz method to rapid prototyping machine learning features in interactive artistic applications. Machine learning systems often require time and resources until they were available to be executed. But in the era of agile movement where we have to test as soon as possible and in artistic solutions whose scope initially perhaps be unclear, there is a need for a way to fast testing hypothesis. We also briefly described Ama, a system for adult ballet training at home, which served as a proof of concept of our strategy.