Technology is transforming people’s lives, but it’s a constant struggle to ensure that technology designs address people’s values and preferences, especially those of traditionally underserved groups. Computer vision, as an example, empowers individuals with vision impairments, but it also carries with it privacy concerns; as an example, service providers risk leaking private information when collecting and sharing pictures. Our proposed research will address the conflict between convenience and privacy inherent to computer vision. Toward developing future computer vision technologies that support diverse users with visual impairments, especially those who are traditionally technologically underserved, we will discover what users value, what concerns they have, and what they prefer so that we can develop privacy recommendations for inclusive computer vision technologies.
Kenneth Fleischmann (Information), Danna Gurari (Information), Bo Xie (Nursing)