Abstract

People with visual impairments (PVI) experience simple tasks, such as grocery shopping, to be an essential difficulty. Although the recent emergence of AI-technology has been dramatically improving visual recognition capabilities, the application to the daily life of PVI is still complex and erroneous. For example, image recognition engines require a clear shot of the targeted object and a contextual understanding of the information the user requires. In this paper, we aimed to understand the PVI's needs and their pain points in the task of identifying grocery items. Following a user-centered design process, we iteratively

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