Xiangyi Wang, Sam Weese, Tara McAllister, Victoria McKenna, Vesna Novak
{"title":"Design and usability evaluation of a web-based pitch control training app for transgender women.","authors":"Xiangyi Wang, Sam Weese, Tara McAllister, Victoria McKenna, Vesna Novak","doi":"10.1007/978-3-031-61932-8_27","DOIUrl":null,"url":null,"abstract":"<p><p>Transgender people often experience dysphoria because the way their voice is perceived does not match their gender identity. Such dysphoria negatively affects mental health and quality of life, and is particularly an issue in trans women. Dysphoria can be reduced via gender-affirming voice and communication training provided by human experts, but the accessibility of such training is often limited. As a supplement or alternative to human-guided training, our team has thus developed an early prototype of voice training software for transfeminine users (i.e., trans women and nonbinary users who were assigned male at birth). The software is accessible via a web browser and provides three vocal pitch exercises together with real-time feedback about the user's pitch relative to a desired target pitch curve. This paper presents the main technical features and results of a single-session usability evaluation with 5 transfeminine participants. We further present future plans for expansion to other exercises and voice aspects (particularly resonance) as well as plans for clinical trials.</p>","PeriodicalId":520266,"journal":{"name":"HCI International 2024 Posters : 26th International Conference on Human-Computer Interaction, HCII 2024, Washington, DC, USA, June 29-July 4, 2024, Proceedings. Part I. International Conference on Human-Computer Interaction (26th : 2024...","volume":"2114 ","pages":"224-234"},"PeriodicalIF":0.0000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11493331/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"HCI International 2024 Posters : 26th International Conference on Human-Computer Interaction, HCII 2024, Washington, DC, USA, June 29-July 4, 2024, Proceedings. Part I. International Conference on Human-Computer Interaction (26th : 2024...","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/978-3-031-61932-8_27","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/6/1 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Transgender people often experience dysphoria because the way their voice is perceived does not match their gender identity. Such dysphoria negatively affects mental health and quality of life, and is particularly an issue in trans women. Dysphoria can be reduced via gender-affirming voice and communication training provided by human experts, but the accessibility of such training is often limited. As a supplement or alternative to human-guided training, our team has thus developed an early prototype of voice training software for transfeminine users (i.e., trans women and nonbinary users who were assigned male at birth). The software is accessible via a web browser and provides three vocal pitch exercises together with real-time feedback about the user's pitch relative to a desired target pitch curve. This paper presents the main technical features and results of a single-session usability evaluation with 5 transfeminine participants. We further present future plans for expansion to other exercises and voice aspects (particularly resonance) as well as plans for clinical trials.