IDEAS home Printed from https://ideas.repec.org/a/gam/jftint/v9y2017i3p30-d103949.html
   My bibliography  Save this article

Feasibility Study of a Socially Assistive Humanoid Robot for Guiding Elderly Individuals during Walking

Author

Listed:
  • Chiara Piezzo

    (University of Tsukuba, 305-8571 Ibaraki Prefecture, Japan)

  • Kenji Suzuki

    (University of Tsukuba, 305-8571 Ibaraki Prefecture, Japan)

Abstract

The impact of the world-wide ageing population has commenced with respect to society in developed countries. Several researchers focused on exploring new methods to improve the quality of life of elderly individuals by allowing them to remain independent and healthy to the maximum possible extent. For example, new walking aids are designed to allow elderly individuals to remain mobile in a safe manner because the importance of walking is well-known. The aim of the present study involves designing a humanoid robot guide as a walking trainer for elderly individuals. It is hypothesized that the same service robot provides an assistive and social contribution with respect to interaction between elderly users by motivating them to walk more and simultaneously provides assistance, such as physical assistance and gait monitoring, while walking. This study includes a detailed statement of the research problem as well as a literature review of existing studies related to walking companion robots. A user-centred design approach is adopted to report the results of the current first feasibility study by using a commercially available humanoid robot known as Pepper developed by Softbank-Aldebaran. A quantitative questionnaire was used to investigate all elements that assess intrinsic motivation in users while performing a given activity. Conversely, basic gait data were acquired through a video analysis to test the capability of the robot to modify the gait of human users. The results in terms of the feedback received from elderly subjects and the literature review improve the design of the walking trainer for elderly individuals.

Suggested Citation

  • Chiara Piezzo & Kenji Suzuki, 2017. "Feasibility Study of a Socially Assistive Humanoid Robot for Guiding Elderly Individuals during Walking," Future Internet, MDPI, vol. 9(3), pages 1-16, July.
  • Handle: RePEc:gam:jftint:v:9:y:2017:i:3:p:30-:d:103949
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1999-5903/9/3/30/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1999-5903/9/3/30/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sungwook Jung & Sung Hee Ahn & Jiwoong Ha & Sangwoo Bahn, 2022. "A Study on the Effectiveness of IT Application Education for Older Adults by Interaction Method of Humanoid Robots," IJERPH, MDPI, vol. 19(17), pages 1-17, September.
    2. Lucie Vidovićová & Tereza Menšíková, 2023. "Materiality, Corporeality, and Relationality in Older Human–Robot Interaction (OHRI)," Societies, MDPI, vol. 13(1), pages 1-13, January.
    3. Alina Betlej, 2022. "Designing Robots for Elderly from the Perspective of Potential End-Users: A Sociological Approach," IJERPH, MDPI, vol. 19(6), pages 1-17, March.
    4. Dang, Ngoc Bich & Bertrandias, Laurent, 2023. "Social robots as healing aids: How and why powerlessness influences the intention to adopt social robots," Technological Forecasting and Social Change, Elsevier, vol. 196(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jftint:v:9:y:2017:i:3:p:30-:d:103949. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.