{"title":"评估触觉技术对视障创意人员数字音频工作站的可及性。","authors":"Christina Karpodini","doi":"10.1145/3517428.3550414","DOIUrl":null,"url":null,"abstract":"This research suggests new ways of making interaction with Digital Audio Workstations more accessible for musicians with visual impairments. Accessible tools such as screen readers are often unable to support users within the music production environment. Haptic technologies have been proposed as solutions but are often generic and do not address the individual’s needs. A series of experiments is being suggested to examine the possibilities of mapping haptic feedback to audio effects parameters. Sequentially, machine learning is being proposed to enable automated mapping and expand access to the individual. The expected results will provide visually impaired musicians with a new way of producing music but also will provide academic research on material and technologies that can be used for future accessibility tools.","PeriodicalId":384752,"journal":{"name":"Proceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Evaluating haptic technology in accessibility of digital audio workstations for visual impaired creatives.\",\"authors\":\"Christina Karpodini\",\"doi\":\"10.1145/3517428.3550414\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This research suggests new ways of making interaction with Digital Audio Workstations more accessible for musicians with visual impairments. Accessible tools such as screen readers are often unable to support users within the music production environment. Haptic technologies have been proposed as solutions but are often generic and do not address the individual’s needs. A series of experiments is being suggested to examine the possibilities of mapping haptic feedback to audio effects parameters. Sequentially, machine learning is being proposed to enable automated mapping and expand access to the individual. The expected results will provide visually impaired musicians with a new way of producing music but also will provide academic research on material and technologies that can be used for future accessibility tools.\",\"PeriodicalId\":384752,\"journal\":{\"name\":\"Proceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility\",\"volume\":\"47 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3517428.3550414\",\"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 24th International ACM SIGACCESS Conference on Computers and Accessibility","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3517428.3550414","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evaluating haptic technology in accessibility of digital audio workstations for visual impaired creatives.
This research suggests new ways of making interaction with Digital Audio Workstations more accessible for musicians with visual impairments. Accessible tools such as screen readers are often unable to support users within the music production environment. Haptic technologies have been proposed as solutions but are often generic and do not address the individual’s needs. A series of experiments is being suggested to examine the possibilities of mapping haptic feedback to audio effects parameters. Sequentially, machine learning is being proposed to enable automated mapping and expand access to the individual. The expected results will provide visually impaired musicians with a new way of producing music but also will provide academic research on material and technologies that can be used for future accessibility tools.