Examining the Use of Autonomous Systems for Home Health Support Using a Smart Mirror

Author:

Dowthwaite Liz12ORCID,Cruz Gisela Reyes12,Pena Ana Rita3,Pepper Cecily3ORCID,Jäger Nils4,Barnard Pepita12ORCID,Hughes Ann-Marie5,Nair Roshan das67ORCID,Crepaz-Keay David8,Cobb Sue9,Lang Alexandra9,Benford Steve2

Affiliation:

1. Horizon Digital Economy Research, University of Nottingham, Nottingham NG7 2TU, UK

2. School of Computer Science, University of Nottingham, Nottingham NG8 1BB, UK

3. Horizon Centre for Doctoral Training, University of Nottingham, Nottingham NG8 1BB, UK

4. Department of Architecture and Built Environment, University of Nottingham, Nottingham NG7 2RD, UK

5. School of Health Sciences, University of Southampton, Southampton SO17 1BJ, UK

6. Faculty of Medicine and Health Sciences, University of Nottingham, Nottingham NG7 2UH, UK

7. Health Division, Stiftelsen for Industriell og Teknisk Forskning (SINTEF), 0314 Oslo, Norway

8. Mental Health Foundation, London SE1 4PD, UK

9. Faculty of Engineering, University of Nottingham, Nottingham NG7 2RD, UK

Abstract

The home is becoming a key location for healthcare delivery, including the use of technology driven by autonomous systems (AS) to monitor and support healthcare plans. Using the example of a smart mirror, this paper describes the outcomes of focus groups with people with multiple sclerosis (MS; n = 6) and people who have had a stroke (n = 15) to understand their attitudes towards the use of AS for healthcare in the home. Qualitative data were analysed using a thematic analysis. The results indicate that the use of such technology depends on the level of adaptability and responsiveness to users’ specific circumstances, including their relationships with the healthcare system. A smart mirror would need to support manual entry, responsive goal setting, the effective aggregation of data sources and integration with other technology, have a range of input methods, be supportive rather than prescriptive in messaging, and give the user full control of their data. The barriers to its adoption include a perceived lack of portability and practicality, a lack of accessibility and inclusivity, a sense of redundancy, feeling overwhelmed by multiple technological devices, and a lack of trust in data sharing. These results inform the development and deployment of future health technologies based on the lived experiences of people with health conditions who require ongoing care.

Funder

Engineering and Physical Sciences Research Council

Publisher

MDPI AG

Subject

Health Information Management,Health Informatics,Health Policy,Leadership and Management

Reference73 articles.

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