Abstract
The need for personalised Ambient Assisted Living (AAL) solutions is widely recognised. However, many existing solutions lack flexibility in terms of long-term user-adaption, a natural effect of working within the constraints of lab-based evaluation. As such, few approaches directly address a potentially desirable heterogeneous future where AAL is accessible to all: people should be able to create solutions that work for them through bricolages of assorted off-the-shelf (OTS) devices, including robots. For AAL to succeed at scale, these devices must share experiences of user interactions within and outwith the home. Adaptivity as a Service (AaaS) sandboxes adaptivity into its own research domain and posits that adaptation should be managed by a highly specialised adaptivity service that ‘fits in’ with different AAL solutions.
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This work is supported by the Engineering and Physical Sciences Research Council (grant EP/L016834/1).
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Smith, R. (2021). Adaptivity as a Service (AaaS): Personalised Assistive Robotics for Ambient Assisted Living. In: Novais, P., Vercelli, G., Larriba-Pey, J.L., Herrera, F., Chamoso, P. (eds) Ambient Intelligence – Software and Applications . ISAmI 2020. Advances in Intelligent Systems and Computing, vol 1239. Springer, Cham. https://doi.org/10.1007/978-3-030-58356-9_23
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DOI: https://doi.org/10.1007/978-3-030-58356-9_23
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