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

Journal: JMIR aging
PMID: 39586076

Abstract

BACKGROUND: Population aging affects society, with a profound impact on daily activities for those of a low socioeconomic status and with motor impairments. Social assistive robots (SARs) and monitoring technologies can improve older adults' well-being by assisting with and monitoring home activities.

Authors

  • Roberto Vagnetti
    Department of Sport Science, School of Science and Technology, Nottingham Trent University, Nottingham, United Kingdom.
  • Nicola Camp
    Department of Sport Science, School of Science and Technology, Nottingham Trent University, Nottingham, United Kingdom.
  • Matthew Story
    Department of Computing & Advanced Wellbeing Research Centre, Sheffield Hallam University, Sheffield, United Kingdom.
  • Khaoula Ait-Belaid
    Wolfson School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University, Loughborough, United Kingdom.
  • Suvobrata Mitra
    Department of Psychology, Nottingham Trent University, Nottingham, United Kingdom.
  • Sally Fowler Davis
    Faculty of Allied Health and Social Care, Anglia Ruskin University, Chelmsford, United Kingdom.
  • Helen Meese
    The Care Machine Ltd, Potterhanworth, United Kingdom.
  • Massimiliano Zecca
    Wolfson School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University, Loughborough, United Kingdom.
  • Alessandro Di Nuovo
    Sheffield Robotics, Sheffield Hallam University, Howard Street, Sheffield, S11WB, UK. a.dinuovo@shu.ac.uk.
  • Daniele Magistro
    Department of Sport Science, School of Science and Technology, Nottingham Trent University, Nottingham, United Kingdom.

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