Participatory AI Atlas
Accessibility / computer visionaccessibilityParticipation documented

MYCam

College Park, United States

Blind participants used MYCam in their homes to shape how training descriptors work in teachable object recognition.

inclusive designdisability-first designhuman-centered designdata collectionUI_UX_designevaluationmodel_teaching
Project documentationEvidence source
Overview
Region
North America
Lead organization
University of Maryland TRACE Center
Organization type
university
Technology group
computer vision / teachable object recognition
Activity status
published_case
Start year
2022
Last updated
Mar 25, 2026
Participation documentation
Participation mode
disability-first participatory design
Participants
blind users
Methods
in-home study; iterative interface design; feedback on training images
AI lifecycle stages
data collection; UI_UX_design; evaluation; model_teaching
Evidence summary
Blind participants used MYCam in their homes to shape how training descriptors work in teachable object recognition.
Atlas assessment
Core · High confidence · evidence grade A
Uncertainty
Public evidence indicates that stakeholders directly shaped AI design, data, deployment, evaluation, or oversight; residual uncertainty concerns the exact degree of shared decision power rather than project existence.
Project details
Participation group
Co Design
Technology description
computer vision / teachable object recognition
Funding
Not documented
Region of activity
local
Verification status
Live Verified
Links
Project documentationUniversity NewsEvidence sourceResearch paper

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