• DocumentCode
    634460
  • Title

    Enhancing Emotional Well Being of Elderly Using Assistive Social Robots in Australia

  • Author

    Khosla, Rajiv ; Mei-Tai Chu ; Khanh Nguyen

  • Author_Institution
    Res. Centre for Comput. Commun. & Social Innovation (RECCSI), La Trobe Univ., Melbourne, VIC, Australia
  • fYear
    2013
  • fDate
    5-7 July 2013
  • Firstpage
    41
  • Lastpage
    46
  • Abstract
    Emotional well being is one of two aspects of personal well-being that can be measured in quality of life assessments, and is a critical part of a senior citizen to help them age gracefully and remain independent as well as integrated with society. In order to improve the emotional well being of the elderly in the era of looming ageing population crisis, in this paper the authors report on design and a field trial of Matilda, a human-like assistive communication assistive robot in Australian residential care and home-based care facilities. The work demonstrates that by marrying the embodiment of care with artificial intelligence, emotion measuring techniques and positive emotion generation in its design and applications, Matilda has the ability to improve emotional well being of the elderly.
  • Keywords
    artificial intelligence; assisted living; emotion recognition; human-robot interaction; mobile robots; service robots; Australia; Australian residential care; Matilda; artificial intelligence; assistive social robot; elderly people; emotion generation; emotion measuring technique; emotional well being enhancement; home-based care; human-like assistive communication; looming ageing population crisis; personal well being; quality of life assessment; senior citizen; Aging; Australia; Emotion recognition; Robots; Senior citizens; Speech; Speech recognition; Aged care; Emotion recognition and engagement; Emotional well-being; Quality of life; Social robot;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biometrics and Kansei Engineering (ICBAKE), 2013 International Conference on
  • Conference_Location
    Tokyo
  • Type

    conf

  • DOI
    10.1109/ICBAKE.2013.9
  • Filename
    6603469