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.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11493331PMC
http://dx.doi.org/10.1007/978-3-031-61932-8_27DOI Listing

Publication Analysis

Top Keywords

usability evaluation
8
trans women
8
training
5
design usability
4
evaluation web-based
4
pitch
4
web-based pitch
4
pitch control
4
control training
4
training app
4

Similar Publications

Aims And Background: The field of mobile healthcare (mHealth) has attracted attention, and the quality of mHealth applications is also being addressed. Therefore, usability evaluation should be conducted to verify the quality of mHealth applications. The aim of this study was to conduct an expert evaluation to verify the systematic aspects and usability of a mobile application ("CAMBRA-students") developed to evaluate caries risk in children and adolescents and to provide systematic caries management.

View Article and Find Full Text PDF

Background: Technologies that serve as assistants are growing more popular for entertainment and aiding in daily tasks. Artificial intelligence (AI) in these technologies could also be helpful to deliver interventions that assist older adults with symptoms or self-management. Personality traits may play a role in how older adults engage with AI technologies.

View Article and Find Full Text PDF

External Validation of an AI mHealth Tool for Gingivitis Detection among Older Adults at Daycare Centers: A Pilot Study.

Int Dent J

January 2025

Faculty of Dentistry, The University of Hong Kong, Hong Kong Special Administrative Region, China; Musketeers Foundation Institute of Data Science, The University of Hong Kong, Hong Kong Special Administrative Region, China. Electronic address:

Objectives: Periodontal disease is a significant public health concern among older adults due to its relationship with tooth loss and systemic health disease. However, there are numerous barriers that prevent older adults from receiving routine dental care, highlighting the need for innovative screening tools at the community level. This pilot study aimed first, to evaluate the accuracy of GumAI, a new mHealth tool that uses AI and smartphones to detect gingivitis, and the user acceptance of personalized oral hygiene instructions provided through the new tool, among older adults in day-care community centers.

View Article and Find Full Text PDF

Background: The use of mobile health interventions, such as apps, are proposed to meet the challenges faced by preventive health care services due to the increasing prevalence of type 2 diabetes (T2D). Thus, we developed and conducted initial feasibility testing of the Plunde app for promoting and monitoring individual goals related to lifestyle change for people at risk of T2D.

Objective: The primary aim of this study was to assess the feasibility of an app for promoting lifestyle change in people at risk of T2D.

View Article and Find Full Text PDF

Testing an Electronic Patient-Reported Outcome Platform in the Context of Traumatic Brain Injury: PRiORiTy Usability Study.

JMIR Form Res

January 2025

Centre for Patient Reported Outcomes Research, Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom.

Background: Traumatic brain injury (TBI) is a significant public health issue and a leading cause of death and disability globally. Advances in clinical care have improved survival rates, leading to a growing population living with long-term effects of TBI, which can impact physical, cognitive, and emotional health. These effects often require continuous management and individualized care.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!