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    Informing Caregivers Through an Assistive Tool: An Investigation of Elderly Care Metrics

    HCI 2017 - Digital make-believe

    Proceedings of the 31st International BCS Human Computer Interaction Conference (HCI 2017)

    University of Sunderland, St Peter’s campus, Sunderland, UK, 3 - 6 July 2017

    AUTHORS

    Simon Klakegg, Niels van Berkel, Aku Visuri, Chu Luo, Jorge Goncalves, Simo Hosio, Hanna-Leena Huttunen & Denzil Ferreira

    ABSTRACT

    http://dx.doi.org/10.14236/ewic/HCI2017.46

    Elderly care is a pressing societal challenge: government's financial burden is expected to exponentially increase in the next 20 years as the population is aging rapidly. Solutions to mitigate this challenge include the use of IoT and software solutions to minimise the effort of elderly care, in care centres and at home. To accomplish this, we set to quantify what are the most important elderly care metrics (i.e., what is important to support caregivers’ work) through field observations and interviews at a local care centre housing 14 old adults. We designed iteratively and evaluated the usefulness of a mobile application with 8 caregivers, to summarise and communicate the care metrics, juxtaposed with wellbeing data (e.g., social interaction, mobility and others), part of a larger elderly care support platform, CARE. The goal of the mobile application is to enable a better care service by raising awareness to daily needs and routines of the elderly and to provide quick access to their wellbeing information. Our findings advocate that our design could positively benefit the care personnel and assist them carrying out the daily duties at the care centre.

    PAPER FORMATS

    PDF filePDF Version of this Paper (685kb)