Evidence map›Paper›PMID 39439900›Full record

ArticleHCI 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...2024

Design and usability evaluation of a web-based pitch control training app for transgender women.

Xiangyi Wang, Sam Weese, Tara McAllister, Victoria McKenna, Vesna Novak

Abstract read
In one paragraph

Article in 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..., 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Xiangyi WangUniversity of Cincinnati, Cincinnati, OH 45221, USA.
Sam WeeseUniversity of Cincinnati, Cincinnati, OH 45221, USA.
Tara McAllisterNew York University, New York, NY 10012, USA.
Victoria McKennaUniversity of Cincinnati, Cincinnati, OH 45221, USA.
Vesna NovakUniversity of Cincinnati, Cincinnati, OH 45221, USA.

Funding

Improving the accessibility of transgender voice training with visual-acoustic biofeedbackR21DC021537 · NIDCD · UNIVERSITY OF CINCINNATI · PI MCALLISTER, TARA, NOVAK, VESNA DOMINIKA · 2024 to 2025
$545k
NIDCD NIH HHS R21 DC021537
6 · The paper itself

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.

Indexed as

Computer-Aided Voice TherapySerious GamesTransgender Health

Identifiers

PMID39439900
PMCPMC11493331

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.