Project Details
Description
Ambient Assisted Living (AAL) is concerned with using technological solutions to allow people with additional care needs live at home safely and independently. The long-term aim of this project is to support an external bid to research novel techniques for AAL, utilising advanced sensors and AI. The objective for this project is to study acceptability of the latest approaches and trends in AAL by engaging end users, carers, and other stakeholders.
Previous AAL technologies focused on ensuring safety in the home by monitoring for well-defined emergencies, such as fall/panic alarms, or help users with a specific task such as medication compliance. To meet future care needs, the next generation of AAL will be systems of interconnected devices that support the lifestyle of the person in their own home and help carers prioritise the interventions that they make. There have been several previous studies into user acceptability of AAL systems focusing on earlier technologies. However, the latest approaches utilising more advanced sensors and AI create very different implications for usability considerations, especially for security and privacy. Building on our prior work in AAL, this study will:
•Identify possible barriers for adoption of next generation AAL systems;
•Assess user attitudes towards different types of sensor technologies;
•Evaluate user perception of trade-offs between privacy/security concerns and safety/wellbeing benefits;
•Highlight possible user education needs in AAL technologies to facilitate acceptance.
Pressure on the NHS and social services will only increase as the population ages. Therefore, solutions that can help manage more conditions in the home, reduce hospital stays, and promote wellbeing will be crucial for addressing the impending care crisis. User acceptance is critical for successful deployment of any AAL technology. Acceptance issues in previous systems centred around interference with normal user activities, personal image, and device maintenance. We have been working on developing novel techniques for recognising and tracking daily activities using environmental sensors, such as cameras and smart home sensors. While this approach addresses the previous acceptability issues, there are open questions about user attitudes towards such systems given the privacy and security concerns. Thus, an acceptability study is essential for ensuring practical relevance and impact potential of AAL work.
Previous AAL technologies focused on ensuring safety in the home by monitoring for well-defined emergencies, such as fall/panic alarms, or help users with a specific task such as medication compliance. To meet future care needs, the next generation of AAL will be systems of interconnected devices that support the lifestyle of the person in their own home and help carers prioritise the interventions that they make. There have been several previous studies into user acceptability of AAL systems focusing on earlier technologies. However, the latest approaches utilising more advanced sensors and AI create very different implications for usability considerations, especially for security and privacy. Building on our prior work in AAL, this study will:
•Identify possible barriers for adoption of next generation AAL systems;
•Assess user attitudes towards different types of sensor technologies;
•Evaluate user perception of trade-offs between privacy/security concerns and safety/wellbeing benefits;
•Highlight possible user education needs in AAL technologies to facilitate acceptance.
Pressure on the NHS and social services will only increase as the population ages. Therefore, solutions that can help manage more conditions in the home, reduce hospital stays, and promote wellbeing will be crucial for addressing the impending care crisis. User acceptance is critical for successful deployment of any AAL technology. Acceptance issues in previous systems centred around interference with normal user activities, personal image, and device maintenance. We have been working on developing novel techniques for recognising and tracking daily activities using environmental sensors, such as cameras and smart home sensors. While this approach addresses the previous acceptability issues, there are open questions about user attitudes towards such systems given the privacy and security concerns. Thus, an acceptability study is essential for ensuring practical relevance and impact potential of AAL work.
| Acronym | ASAALT |
|---|---|
| Status | Finished |
| Effective start/end date | 7/06/23 → 31/07/23 |
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
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