2021/01/19 by André Rodrigues, Rodrigues, André, André Santos +5 · 1 citation
Computer Science · Engineering · Social Sciences · #AI in Service Interactions #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Technology Use by Older Adults #Transportation and Mobility Innovations
paper · pdf · doi:10.48550/arxiv.2101.07630
openalex publication_date 2021/01/19 · openalex created_date 2022/07/25 · openalex updated_date 2026/07/28
Accessibility assessments typically focus on determining a binary measurement\nof task performance success/failure; and often neglect to acknowledge the\nnuances of those interactions. Although a large population of blind people find\nsmartphone interactions possible, many experiences take a significant toll and\ncan have a lasting negative impact on the individual and their willingness to\nstep out of technological comfort zones. There is a need to assist and support\nindividuals with the adoption and learning process of new tasks to mitigate\nthese negative experiences. We contribute with a human-powered nonvisual task\nassistant for smartphones to provide pervasive assistance. We argue, in\naddition to success, one must carefully consider promoting and evaluating\nfactors such as self-efficacy and the belief in one's own abilities to control\nand learn to use technology. In this paper, we show effective assistant\npositively affects self-efficacy when performing new tasks with smartphones,\naffects perceptions of accessibility and enables systemic task-based learning.\n