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Expectations and Sensemaking: Older People and Care Robots

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Human Aspects of IT for the Aged Population. Technology and Society (HCII 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12209))

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Abstract

We do not yet know how the robotization of eldercare will unfold, but one thing is clear: technology mediates human practices and experiences [1]. As such, care robots will co-shape the actions of care givers and older people and influence the perceptions and experiences of old age. The robotization of eldercare means that it is essential for developers, policy makers, and researchers to become increasingly aware of the intertwined and implicit expectations that older people impose on care robots. This paper both zooms in towards older people’s individual expectations and zooms out towards expectation configurations at a group level and the expectation imagery of care robots in future eldercare.

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Acknowledgements

I would like to thank all the senior volunteers, Professor Britt Östlund & Associate Professor Håkan Eftring, the GiraffPlus team and the HOBBIT team who worked together to make this happen. The research on which this paper is based on was partially funded the EC under FP7-ICT-288146 Hobbit, FP7-ICT-288173 GiraffPlus and INBOTS (grant agreement no 780073) and by the Knowledge Foundation through the Internet of Things and People research profile.

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  1. Internet of Things and People Research Center, Department of Computer Science and Media Technology, Malmö University, Malmö, Sweden

    Susanne Frennert

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  1. Susanne Frennert
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Correspondence to Susanne Frennert .

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Editors and Affiliations

  1. Tsinghua University, Beijing, China

    Qin Gao

  2. Chongqing University, Chongqing, China

    Jia Zhou

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Frennert, S. (2020). Expectations and Sensemaking: Older People and Care Robots. In: Gao, Q., Zhou, J. (eds) Human Aspects of IT for the Aged Population. Technology and Society. HCII 2020. Lecture Notes in Computer Science(), vol 12209. Springer, Cham. https://doi.org/10.1007/978-3-030-50232-4_14

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  • DOI: https://doi.org/10.1007/978-3-030-50232-4_14

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