Using a human centred design approach to develop a fall detection sock for older women

Rahemtulla, Z ORCID: https://orcid.org/0000-0002-4695-821X, Wickenden, R ORCID: https://orcid.org/0000-0003-2573-349X and Hughes-Riley, T ORCID: https://orcid.org/0000-0001-8020-430X, 2025. Using a human centred design approach to develop a fall detection sock for older women. Design for Health. ISSN 2473-5132

Preview

Text 2366903_Rahemtulla.pdf - Published version Download (2MB) | Preview

Abstract

This work focuses on using a human centred design approach for the creation of electronic textiles with monitoring capabilities for use by older women. This study specifically looked at the creation of a system for fall detection, as falls can be a serious issue for older adults. Beyond this, the study also strove to understand older women’s views on clothing, technology and falls more generally. Twelve women aged 65 and over were first asked to participate in semi-structured interviews. From this initial insight, prototype garments were produced and a workshop with five women was held to gain deeper feedback and refine the design. This work has shown that when designing electronic textiles for older women, key factors include comfort, easy-care clothing, flexibility in clothing choice, and the technology being invisible when worn. This also acts as an important case study for human centred design with electronic textiles for older women.

Item Type:	Journal article
Publication Title:	Design for Health
Creators:	Rahemtulla, Z., Wickenden, R. and Hughes-Riley, T.
Publisher:	Taylor & Francis
Date:	20 January 2025
ISSN:	2473-5132
Identifiers:	Number Type 10.1080/24735132.2025.2454718 DOI 2366903 Other
Rights:	© 2025 the author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an open access article distributed under the terms of the Creative Commons attribution license (http://creativecom-mons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Divisions:	Schools > Nottingham School of Art & Design Schools > School of Science and Technology
Record created by:	Jonathan Gallacher
Date Added:	10 Feb 2025 10:16
Last Modified:	10 Feb 2025 10:37
Related URLs:	Dataset used by this publication
URI:	https://irep.ntu.ac.uk/id/eprint/52999

Actions (login required)

Edit View

Statistics

Views

Downloads