Adapting Products for Elderly: Generic Design Taxonomies

Neha Yaragatti, Ravi Kumar Gupta

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

As the ageing demographic has grown over time, it has brought with it both obstacles and opportunities for development and fulfilment. Due to their reduced physical capability, the elderly are unable to comfortably perform their everyday activities with the exiting products used in the activities of daily living. However, they are familiar with how these existing products work and how to use them. As a result, these well-known existing products should be modified and redesigned to suit the needs of the elderly. The objectives of this paper are to study the problems faced by the elderly while using the existing products in daily activities and modify/redesign them according to the needs of the elderly. To achieve these objectives, this paper proposes two generic design taxonomies that are developed based on the literature review and research. These taxonomies are developed to help designers to determine design priorities based on the needs of the elderly and facilitate the process of redesigning existing products for the elderly. The usage of the proposed taxonomies will reduce the product development time. In this paper, the taxonomies are used to create survey questionnaires for the elderly to identify trouble using existing products in-order to adapt them. The survey is conducted to study the problems faced by the elderly while using existing kitchen containers.

Original languageEnglish
Title of host publicationProduct Lifecycle Management. Green and Blue Technologies to Support Smart and Sustainable Organizations
EditorsOsiris Canciglieri Junior, Frédéric Noël, Louis Rivest, Abdelaziz Bouras
PublisherSpringer Science and Business Media Deutschland GmbH
Pages297-312
Number of pages16
ISBN (Print)9783030943981
DOIs
Publication statusPublished - 2022
Event7th International Conference on Machine Learning, Optimization, and Data Science, LOD 2021 - Virtual, Online
Duration: 04-10-202108-10-2021

Publication series

NameIFIP Advances in Information and Communication Technology
Volume640 IFIP
ISSN (Print)1868-4238
ISSN (Electronic)1868-422X

Conference

Conference7th International Conference on Machine Learning, Optimization, and Data Science, LOD 2021
CityVirtual, Online
Period04-10-2108-10-21

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Networks and Communications
  • Information Systems and Management

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