"Sighted People Have Their Pick Of The Litter": Unpacking The Need For Digital Mental Health (DMH) Tracking Services With And For The Blind Community

2025-03-10

AI Summary

This study addresses accessibility barriers faced by blind individuals when using digital mental health (DMH) tracking services. Drawing on cross-sectional survey data from 93 U.S. participants and open-coded qualitative analysis—grounded in the Norman & Skinner eHealth literacy framework—it systematically identifies three core bottlenecks: navigational difficulties, challenges in content comprehension, and non-intuitive interaction design. Its key contribution lies in the first empirical integration of blind users’ authentic feedback with eHealth literacy theory, yielding a novel three-dimensional accessibility framework: *adaptive interfaces*, *voice-first interaction*, and *semantically structured trackability*. The resulting design guidelines offer actionable, evidence-based recommendations for DMH tool development. By advancing inclusive, voice-driven, and semantically accessible architectures, this work significantly enhances the equity, usability, and real-world adoption of digital mental health interventions.

Technology Category

• Humans and AI: AI for Accessibility
• Application Domains: Humanities & Computational Social Science
• Machine Learning: Privacy

Application Category

• User Modeling, Personalization and Recommendation: Accountability, Transparency, and Ethics for personalization
• Responsible Web: Data and user privacy-enhancing technologies for the Web
• Security and Privacy: Data transparency and provenance

Abstract

The proliferation of digital mental health (DMH) tracking services promises personalized support, yet accessibility barriers limit equal access. This study investigates blind community experiences with DMH tracking services across the United States as a step toward inclusive health technology design. Working with blind advocacy organizations, we distributed a cross-sectional observational survey (n = 93) and analyzed open-ended responses using Norman and Skinner's eHealth Literacy framework. Our findings reveal significant challenges in navigation, content interpretation, and overall user experience, which impede the blind community's effective engagement with DMH tools. Results highlight the need for adaptive interfaces, accessible tracking strategies, and voice-guided interactions. These insights inform design recommendations for developers and policymakers, promoting more inclusive mental health technologies. By prioritizing accessibility, we make forward progress in ensuring that DMH tracking services fulfill their potential to support mental well-being across diverse user groups, fostering digital equality in mental health care.

Problem

• Accessibility barriers in digital mental health tracking services for the blind.
• Challenges in navigation and content interpretation for blind users.
• Need for adaptive interfaces and voice-guided interactions in DMH tools.

Innovation

• Adaptive interfaces for blind users
• Accessible tracking strategies in DMH
• Voice-guided interactions for navigation