Accessibility value comes from giving the user control over when AI is sufficient and when a human is needed.
AI value · Demonstrated task scope in user study
Verified
Fourteen users described Be My AI support across personal and social contexts.
Qualitative study; no causal time-saving or safety metric.
Before
Contacts a sighted volunteer or trusted person and shares a camera view. → Describes the visual scene and answers follow-up questions.
After
Captures an image and asks Be My AI for a description or follow-up detail. → Evaluates the answer and either acts, reprompts, or escalates to a human for high-stakes or uncertain tasks.
Human boundary
The user decides whether to trust, reprompt, or escalate; humans retain action decisions.
Why it matters
A blind or low-vision user can get immediate, private scene descriptions before choosing human assistance.
How the work changed
Before
How the work ran before the change.
Step 1 of 2
Blind or low-vision user
Contacts a sighted volunteer or trusted person and shares a camera view.
ControlUser explains intent and decides whether to act.
Step 2 of 2
Human assistant
Describes the visual scene and answers follow-up questions.
ControlUser judgment.
What changed
A blind or low-vision user can get immediate, private scene descriptions before choosing human assistance.
Decision rightHuman moves from creator to judge
After
How the same work runs now.
Step 1 of 2
User
Captures an image and asks Be My AI for a description or follow-up detail.
Step 2 of 2
User
Evaluates the answer and either acts, reprompts, or escalates to a human for high-stakes or uncertain tasks.
Process model built from the published workflow evidence for Be My Eyes. Every step, actor, and control appears in full below.Every step, actor, and control
Exception path
Users compensate for hallucinations or misunderstood context and intent through spatial memory, auditory cues, personal judgment, reprompting, orientation and mobility skills, or human assistance.
Decision authority
The user decides whether to trust, reprompt, or escalate; humans retain action decisions.
Before
#
Actor
Action
Control
01
Blind or low-vision user
Contacts a sighted volunteer or trusted person and shares a camera view.
User explains intent and decides whether to act.
02
Human assistant
Describes the visual scene and answers follow-up questions.
User judgment.
After
#
Actor
Action
Control
01
User
Captures an image and asks Be My AI for a description or follow-up detail.
User controls framing, prompting, and use.
02
User
Evaluates the answer and either acts, reprompts, or escalates to a human for high-stakes or uncertain tasks.
Human escalation remains available.
Work that left the path
Routine requests to sighted volunteers for many household, spatial, and social descriptions
Users independently frame questions and judge outputs; human volunteers handle uncertainty and consequential tasks.
AI role
Decision mode: advisory perception. Describes images and answers visual questions; it does not safely navigate or make high-stakes decisions.
Outcomes
Demonstrated task scope in user study
Verified
Visual interpretation commonly required sighted assistance.→Fourteen users described Be My AI support across personal and social contexts.
CHI 2025 qualitative study. · 14 visually impaired Be My AI users plus analysis of image descriptions.
Qualitative study; no causal time-saving or safety metric.
Observed failure modes
Verified
Human assistants can clarify intent and context interactively.→The study identified hallucinations, misinterpretations of social contexts, styles, and human identities, and failures to grasp or act on user intent.
CHI 2025 study. · 14 interviews plus image descriptions from participants and social media.
Small purposive sample; limitations may change with model updates.
What leaders can reuse
Anti-pattern
Positioning probabilistic image description as safe navigation or identity verification.
Questions
01Which tasks are explicitly out of scope?
02How quickly can users reach a human?
03How are hallucinations communicated accessibly?
Portability conditions
Accessible interface
Human fallback
Clear high-stakes limits
Rapid model-quality monitoring
Reputation risk
medium
Evidence and authority
What the public record supports.
Watch · updated
Watch status: verify the cited source and deployment condition before reusing this case.
1 peer reviewed; publication outcomes are verified.
Bundle 1.0.0 · reviewed 2026-09-06 · stable ID d8b354365bb9e260