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GI_Forum 2022, Volume 10, Issue 1
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Verlag der Österreichischen Akademie der Wissenschaften Austrian Academy of Sciences Press
A-1011 Wien, Dr. Ignaz Seipel-Platz 2
Tel. +43-1-515 81/DW 3420, Fax +43-1-515 81/DW 3400 https://verlag.oeaw.ac.at, e-mail: verlag@oeaw.ac.at |
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DATUM, UNTERSCHRIFT / DATE, SIGNATURE
BANK AUSTRIA CREDITANSTALT, WIEN (IBAN AT04 1100 0006 2280 0100, BIC BKAUATWW), DEUTSCHE BANK MÜNCHEN (IBAN DE16 7007 0024 0238 8270 00, BIC DEUTDEDBMUC)
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GI_Forum 2022, Volume 10, Issue 1, pp. 33-47, 2022/06/29
Due to population aging, the need for home care has increased. This leads not only to staff shortages, but also to planning challenges for care organizations. Rescheduling home visits places a strain on everyone involved in care provision. Above all, it is a difficulty for care-service users and their relatives that the only way of getting information about changes in care visits is to call the care organization. These additional phonecalls add to the stress of care workers. This paper presents an ICT service that allows home-care service users to request the arrival time for a care worker’s next visit using a voice-based approach. The voice-supported service, ‘notification of care workers’ arrival time’, uses two-stage data processing to predict the time of the visit the closer it gets. In the first step, staff-scheduling data is used; in the second step, the data is enriched with the individual care worker’s current movement data. This approach was tested in a pilot in 2021 and validated using data for 174 care-service users and 26 care workers. Improvements for future research are suggested.
Keywords: spatio-temporal data mining, home care, ambient assisted living, voice assistant, AAL