Accessibility of High-Fidelity Prototyping Tools
Junchen Li, Garreth W. Tigwell, Kristen Shinohara
Abstract
High-fidelity prototyping tools are used by software designers and developers to iron out interface details without full implementation. However, the lack of visual accessibility in these tools creates a barrier for designers who may use screen readers, such as those who are vision impaired. We assessed conformance of four prototyping tools (Sketch, Adobe XD, Balsamiq, UXPin) with accessibility guidelines, using two screen readers (Narrator and VoiceOver), focusing our analysis on GUI element accessibility and critical workflows used to create prototypes. We found few tools were fully accessible, with 45.9% of GUI elements meeting accessibility criteria (34.2% partially supported accessibility, 19.9% not supporting accessibility). Accessibility issues stymied efforts to create prototypes using screen readers. Though no screen reader-tool pairs were completely accessible, the most accessible pairs were VoiceOver-Sketch, VoiceOver-Balsamiq, and Narrator-Balsamiq. We recommend prioritizing improved accessibility for input and control instruction, alternative text, focus order, canvas element properties, and keyboard operations.
Ask about this paper
Ask your agent about it.
Lune has read the top-tier papers around this one, so every answer names the papers it rests on.
Your agent calls
Lunesearch_papers
Free to start. No credit card required.
Terminal
Install the CLIlune papers get 9bb8ba05-49c1-4a8e-9d45-c7cd5d9ac3c6Cited by top-tier papers6
- Anticipate and Adjust: Cultivating Access in Human-Centered MethodsKelly Mack, Emma McDonnell, Venkatesh Potluri, Maggie Xu et al.CHI 2022 · 80 citations
- GenAssist: Making Image Generation AccessibleMina Huh, Yi-Hao Peng, Amy PavelUIST 2023 · 58 citations
- CollabAlly: Accessible Collaboration Awareness in Document EditingCheuk Yin Phipson Lee, Zhuohao Zhang, Jaylin Herskovitz, Jooyoung Seo et al.CHI 2022 · 28 citations
- A Large-Scale Longitudinal Analysis of Missing Label Accessibility Failures in Android AppsRaymond Fok, Mingyuan Zhong, Anne Spencer Ross, James Fogarty et al.CHI 2022 · 25 citations
- MotorEase: Automated Detection of Motor Impairment Accessibility Issues in Mobile App UIsArun Krishna Vajjala, S. M. Hasan Mansur, Justin Jose, Kevin MoranICSE 2024 · 11 citations
Related papers
- Understanding Blind Screen-Reader Users' Experiences of Digital ArtboardsAnastasia Schaadhardt, Alexis Hiniker, Jacob O. WobbrockCHI 2021 · 44 citations
- Automated Detection of Web Application Navigation Barriers for Screen Reader UsersShubhi Jain, Syed Fatiul Huq, Ziyao He, Sam MalekASE 2025 · 1 citation
- Chart Reader: Accessible Visualization Experiences Designed with Screen Reader UsersJohn R. Thompson, Jesse J. Martinez, Alper Sarikaya, Edward Cutrell et al.CHI 2023 · 43 citations
- Inaccessible and Deceptive: Examining Experiences of Deceptive Design with People Who Use Visual Accessibility TechnologyAaleyah Lewis, Jesse J. Martinez, Maitraye Das, James FogartyCHI 2025 · 8 citations
- Idea11y: Enhancing Accessibility in Collaborative Ideation for Blind or Low Vision Screen Reader UsersMingyi Li, Huiru Yang, Nihar Sanda, Maitraye DasCHI 2026 · 1 citation
