The study of algorithms to automatically answer visual questions currently is motivated by visual question answering (VQA) datasets constructed in artificial VQA settings. We propose VizWiz, the first goal-oriented VQA dataset arising from a natural VQA setting. VizWiz consists of over 31,000 visual questions originating from blind people who each took a picture using a mobile phone and recorded a spoken question about it, together with 10 crowdsourced answers per visual question. VizWiz differs from the many existing VQA datasets because (1) images are captured by blind photographers and so are often poor quality, (2) questions are spoken and so are more conversational, and (3) often visual questions cannot be answered. Evaluation of modern algorithms for answering visual questions and deciding if a visual question is answerable reveals that VizWiz is a challenging dataset. We introduce this dataset to encourage a larger community to develop more generalized algorithms that can assist blind people.
Young children with visual impairments greatly benefit from tactile graphics (illustrations, images, puzzles, objects) during their learning processes. In this paper we present insight about using a 3D printed tactile picture book as a design probe. This has allowed us to identify and engage stakeholders in our research on improving the technical and human processes required for creating 3D printed tactile pictures, and cultivate a community of practice around these processes. We also contribute insight about how our in-person and digital methods of interacting with teachers, parents, and other professionals dedicated to supporting children with visual impairments contributes to research practices.
We investigate the role of aesthetic customization in managing sociocultural issues of assistive technology (AT) use. First, we examined an online forum dedicated to customized hearing aids and cochlear implants to understand the breadth of activity occurring in this space. Next, we conducted a series of interviews to understand motivational factors and sociocultural outcomes related to expressive AT. We found that community members discussed customization tools and techniques, shared their customizations, and provided each other with encouragement and support. Community members customized their devices as a means of self-expression that demonstrated the wearer's fashion sense, revealed favorite sports teams and characters, and marked holidays and personal milestones. We also found that aesthetic customization worked on multiple levels to create personal and meaningful relationships with one's AT and with other AT users, and also to manage societal expectations regarding hearing loss. Our findings may inform the design of assistive technologies that better support personalization, customization, and self-expression.
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