  Knowing who is in one's vicinity is key to managing privacy in everyday
environments, but is challenging for people with visual impairments. Wearable
cameras and other sensors may be able to detect such information, but how
should this complex visually-derived information be conveyed in a way that is
discreet, intuitive, and unobtrusive? Motivated by previous studies on the
specific information that visually impaired people would like to have about
their surroundings, we created three medium-fidelity prototypes: 1) a 3D
printed model of a watch to convey tactile information; 2) a smartwatch app for
haptic feedback; and 3) a smartphone app for audio feedback. A usability study
with 14 participants with visual impairments identified a range of practical
issues (e.g., speed of conveying information) and design considerations (e.g.,
configurable privacy bubble) for conveying privacy feedback in real-world
contexts.
