Asleep at the Virtual Wheel: The Increasing Inaccessibility of Virtual Reality Applications

Research Background and Issues

• Identified Problems or Challenges:
  This study highlights widespread accessibility issues in modern virtual reality (VR) applications, including the lack of interactive customization options and the decreasing flexibility of input, posture, and display output settings for special populations over the years. Moreover, support for display output features such as text font scaling and colorblind adjustments is almost entirely absent.

• Significance:
  VR technology is advancing rapidly and demonstrates immense potential in entertainment, education, and healthcare. However, its accessibility for over 1 billion people with disabilities is concerning. Developing applications that cater to the needs of users with disabilities not only expands the potential user base but also assists all users who experience temporary or situational disabilities due to special circumstances.

• Research Motivation and Related Work:
  Although there have been explorations of accessibility guidelines for XR (extended reality) (e.g., W3C's XR User Accessibility Requirements and Meta Quest's accessibility recommendations), there is currently a lack of empirical studies showcasing the adoption of these guidelines in industry practices. The evident lack of collaboration between academia and industry has resulted in mainstream VR applications significantly underperforming in designing for diversity and special needs.

Solution

• Proposed Method or Solution:
  Through a systematic software review, the authors conducted the first empirical analysis of accessibility features at various software levels in mainstream VR applications from 2016 to 2023. A total of 330 applications were selected from platforms including Steam, Meta, Oculus, Viveport, and SideQuest, and their accessibility features were categorized.

• Innovative Aspects:
  This study provides a comprehensive overview of the current state and evolutionary trends of accessibility features in mainstream VR applications, offering an unprecedented level of detailed analysis. This process not only enhances understanding of industry design decisions but also provides a data foundation for the formulation of future industry guidelines.

• Implementation Steps and Key Technologies:

  1. Sample Selection: Select 330 popular VR software applications from five major platforms based on download volume.
  2. Feature Extraction and Classification: Analyze accessibility features related to input, interaction, body posture, UI, customizable output, and social communication.
  3. Temporal Trend Analysis: Construct development trends for subcategories of features from 2016 to 2023.
  4. Systematic Evaluation: Identify prevalent issues in mainstream VR software based on growth or decline trends.
  5. Results Comparison and Recommendations: Compare findings with existing accessibility practices and guidelines, and propose improvement suggestions.

Research Outcomes

• Specific Findings:

  1. Mainstream VR applications generally lack essential accessibility features, such as customizable input device settings, adjustable UI text size, and options for color and brightness adjustments.
  2. Implementation of accessibility features, such as one-click switching and free gesture tracking, has significantly declined in recent years, particularly in alternative support for hardware input devices (e.g., keyboards, game controllers).
  3. Privacy protection and communication in social VR environments (e.g., subtitles, voice settings, sign language support) are inadequately addressed.

• Comparison with Existing Solutions and Advantages:

  1. The study provides the first systematic, cross-platform panoramic view of accessibility issues in mainstream VR applications.
  2. The data-driven discussion highlights the gap between industry practices and actual user needs, which is critical for developing more practical accessibility guidelines.

• Experimental or Evaluation Results:

  1. Among the sample, 148 applications support user-specified "dominant hand selection" (left or right hand), but full key mapping is implemented in only 25 applications.
  2. In terms of output, only three applications provide basic colorblind modes, and just one allows contrast adjustment.
  3. In social interaction, support for voice speed modification is minimal (only two applications), and no software-level sign language translation support is available.

• Limitations and Future Directions:

  1. The study's sample focuses on popular software, potentially overlooking some innovative but less widely adopted applications.
  2. Data analysis is primarily based on features presented by developers, without in-depth evaluation of specific feature usability or overall user experience from the user perspective.
  3. Future work could explore how the industry can more effectively translate academic research findings into improved technical practices through user studies and developer interviews.

In summary, this paper reveals significant deficiencies in accessibility design within mainstream VR applications and lays the foundation for subsequent research and the formulation of industry guidelines. By strengthening collaboration between industry and academia and promoting the implementation of stricter accessibility standards, the VR industry can better serve diverse user needs and realize the vision of "creating immersive experiences for everyone."