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AN APPROACH TO ENHANCE PRODUCT UNIVERSALITY USING VAGUE NUMBERS DURING INITIAL DESIGN PHASE

Published online by Cambridge University Press:  27 July 2021

Ravindra Singh  and
Puneet Tandon
Ravindra Singh*
Affiliation:
Delhi Technological University
Puneet Tandon
Affiliation:
PDPM Indian Institute of Information Technology, Design and Manufacturing, Jabalpur
*
Singh, Ravindra, Delhi Technological University, Design, India, [email protected]

Abstract

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Universal design facilitates all user, a convenient interaction with the environment, product and services without the need for any adaptation and specialized designs. Recent studies have shown that designers and manufacturers are focusing only on a limited group of users during product development. Current design process or methodology cannot cater to all set of users i.e. Fully Abled People (FAP), Specially Abled People (SAP), and Differently Abled People (DAP) due to complexity in need interpretation. Identification and extraction of needs of diverse user set is a complex problem. Generally, information gathered from the users is linguistic in nature and comprises of uncertainties and ambiguities, which hamper conversion of users’ requirements into product attributes to deliver universal solutions. The aim of this work is to eliminate these uncertainties and extract the actual needs of all users. This work proposes the integration of Universal Product Design model with generic design process to improve universal product design practice. Linguistic preferences of the users are captured and converted into vague numbers to identify the important product attributes and provides a systematic framework of need prioritization.

Keywords

universal designDecision makingDesign methodsDesign practiceEarly design phases
Type
Article
Information
Proceedings of the Design Society , Volume 1: ICED21 , August 2021 , pp. 395 - 404
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2021. Published by Cambridge University Press

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