Published on in Vol 7 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63092, first published .
Social Robots and Sensors for Enhanced Aging at Home: Mixed Methods Study With a Focus on Mobility and Socioeconomic Factors

Social Robots and Sensors for Enhanced Aging at Home: Mixed Methods Study With a Focus on Mobility and Socioeconomic Factors

Social Robots and Sensors for Enhanced Aging at Home: Mixed Methods Study With a Focus on Mobility and Socioeconomic Factors

Roberto Vagnetti   1 , PhD ;   Nicola Camp   1 , MSc ;   Matthew Story   2 , PhD ;   Khaoula Ait-Belaid   3 , PhD ;   Suvobrata Mitra   4 , PhD ;   Sally Fowler Davis   5 , PhD ;   Helen Meese   6 , PhD ;   Massimiliano Zecca   3 , PhD ;   Alessandro Di Nuovo   2 , PhD ;   Daniele Magistro   1 , PhD

1 Department of Sport Science, School of Science and Technology, Nottingham Trent University, Nottingham, United Kingdom

2 Department of Computing & Advanced Wellbeing Research Centre, Sheffield Hallam University, Sheffield, United Kingdom

3 Wolfson School of Mechanical, Electrical, and Manufacturing Engineering, Loughborough University, Loughborough, United Kingdom

4 Department of Psychology, Nottingham Trent University, Nottingham, United Kingdom

5 Faculty of Allied Health and Social Care, Anglia Ruskin University, Chelmsford, United Kingdom

6 The Care Machine Ltd, Potterhanworth, United Kingdom

Corresponding Author:

  • Daniele Magistro, PhD
  • Department of Sport Science
  • School of Science and Technology
  • Nottingham Trent University
  • College Drive, Clifton
  • Nottingham, NG11 8NS
  • United Kingdom
  • Phone: 44 1158483522
  • Email: daniele.magistro@ntu.ac.uk