What does this research mean for the field?

Integrating Generative AI within an accessible VR framework is feasible for supporting library orientation for users with visual impairments, though current prototypes exhibit marginal usability and require faster processing and improved spatial guidance. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To develop and evaluate a generative AI-augmented accessible virtual reality information system designed to support library orientation for users with visual impairments.

September 8, 2026InformaticsOpen Access

A Generative AI-Augmented Accessible VR Information System for Library Orientation: Prototype Development and Formative Evaluation Involving Users with Visual Impairments

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Authors

SCSuphakan CharoenkitChiang Mai University SKSongpon KhanchaiChiang Mai University PWPerasuk WorraginChiang Mai University

Discussion

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Implication

Mixed-methods evaluation demonstrates preliminary feasibility but marginal usability of accessible VR in visually impaired users, highlighting needs for lower AI latency and better navigation.

Key Points

To develop and evaluate a generative AI-augmented accessible virtual reality information system designed to support library orientation for users with visual impairments.
Engineered a virtual reality prototype integrating visual enhancement, audio guidance, contextual notifications, speech interaction, and multimodal generative AI for scene description and navigation.
Conducted a mixed-methods formative evaluation with eight participants (N=8) exhibiting diverse visual impairments.
All participants successfully completed sign interpretation and general library information access tasks, confirming basic functional feasibility.
The system achieved a System Usability Scale (SUS) score of 63.4, reflecting marginal usability driven primarily by difficulties in multi-floor spatial navigation.
Participants appreciated auditory descriptions and visual adjustments, but slow generative AI processing speeds frequently interrupted exploration.

Cite This Study

Charoenkit et al. (2026) studied this question.

synapsesocial.com/papers/6aa0091858e84d0ff5b47c88 https://doi.org/10.3390/informatics13090145

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Implication

Mixed-methods evaluation demonstrates preliminary feasibility but marginal usability of accessible VR in visually impaired users, highlighting needs for lower AI latency and better navigation.

A Generative AI-Augmented Accessible VR Information System for Library Orientation: Prototype Development and Formative Evaluation Involving Users with Visual Impairments

Discussion

Member takes

Implication

Key Points

Cite This Study

A Generative AI-Augmented Accessible VR Information System for Library Orientation: Prototype Development and Formative Evaluation Involving Users with Visual Impairments

Discussion

Member takes

Implication

Key Points

Cite This Study

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