6DotsLab evidence desk

Research reviews for people who put accessibility into practice.

We review peer-reviewed work on blindness, low vision, assistive technology, and human-computer interaction—then turn it into decisions practitioners can use.

1review published

Review library

Blind-accessibility research, carefully unpacked.

Each review includes a plain-language summary, study snapshot, real-world readiness, practitioner actions, safety limits, original figures, and full citation credit.

First figure from the reviewed research paper

REVIEW 01

CHI Conference on Human Factors in Computing Systems (CHI '25)2025

Beyond Visual Perception: Insights from Smartphone Interaction of Visually Impaired Users with Large Multimodal Models

Jingyi Xie, Rui Yu, He Zhang, Syed Masum Billah, Sooyeon Lee, John M. Carroll

Be My AI gave blind and low-vision smartphone users useful descriptions and follow-up answers for everyday visual tasks, but participants still needed their own senses, orientation and mobility skills, and human help when the system invented details, misunderstood their goal, made sensitive identity assumptions, or could not provide real-time guidance.

14participants

6key findings

HCIresearch lens

People with visual impairments (PVI)large multimodal models (LMMs)Human-AI interactionvisual question answering (VQA)remote sighted assistance (RSA)

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Evidence, not hype

Every claim is tied to the reviewed paper. We separate tested findings from proposed future features and product promises.

Written for practice

We translate methods and results for O&M specialists, teachers, caregivers, policymakers, and accessibility teams.

Dignity and safety

Each review surfaces limitations, human fallback needs, privacy concerns, and where a tool should not be trusted alone.

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