Abstract
To design robots that meet older adults’ caregiving needs, one would need to understand what caregivers do to support aging in place. Thus, analyses of caregivers’ work are needed. To do so, one must first identify the type of work system in which such caregiving is embedded because that will determine the type of work analyses that should be conducted. Toward that end, researchers observed caregiving in older adults’ homes, and interviewed caregivers. The resultant qualitative data were leveraged to address whether caregiving exhibited the main characteristics of a complex socio-technical system. The present data suggests caregiving should be analyzed via formative work analysis.
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Acknowledgements
This research was supported in part by the U.S. National Science Foundation (Award #: 1452460). Opinions, findings, and conclusions are those of the authors and do not necessarily reflect the views of the NSF.
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Jones, K.S., Harris, D.J., Cherry, B., Sridharan, M. (2021). A Qualitative Study of Caregiving in Support of Aging in Place to Inform Analyses of Caregivers’ Work and Design of Robot Caregivers. In: Kalra, J., Lightner, N.J., Taiar, R. (eds) Advances in Human Factors and Ergonomics in Healthcare and Medical Devices. AHFE 2021. Lecture Notes in Networks and Systems, vol 263. Springer, Cham. https://doi.org/10.1007/978-3-030-80744-3_33
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DOI: https://doi.org/10.1007/978-3-030-80744-3_33
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