Abstract
The research studies the impact of Human-Centred Artificial Intelligence (HAI) to augment the health of older adults. The researchers are especially interested in looking at the impact of the decrease in the cognitive effort for users and an increase in the naturalness of Human-Machine interaction. A mobile application that uses Natural Language Processing to enable senior citizens to interpret doctors’ handwriting is used as the mode of experimental study. The application consists of an optical character recognition program that leverages a Recurrent Neural Network and a data set of thousands of handwritten prescriptions. The interpreted information is linked to a personal calendar that automatically sets reminders to take the medicines. Voice is used as a medium of interaction with older adults to evaluate the role of naturalness in Human-Machine interaction. Initial results showcase a reduction in the amount of cognitive effort required to comprehend prescriptions and taking timely medication, while simultaneously making the elderly more aware and self-sufficient.
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Kathuria, R., Kathuria, V. (2020). The Use of Human-Centered AI to Augment the Health of Older Adults. In: Stephanidis, C., Antona, M., Ntoa, S. (eds) HCI International 2020 – Late Breaking Posters. HCII 2020. Communications in Computer and Information Science, vol 1294. Springer, Cham. https://doi.org/10.1007/978-3-030-60703-6_61
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