Pathways to green personalisation: reducing consumption through design

Kuksa, I. ORCID: 0000-0001-5398-8516, Kent, A. ORCID: 0000-0002-9741-4335 and West, H., 2024. Pathways to green personalisation: reducing consumption through design. The Design Journal. ISSN 1460-6925

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Abstract

Humanity has reached the point where current consumer lifestyles are not sustainable, and this status quo must be disrupted if we are to slow down climate change. Personalisation is a technique which, amongst other purposes, uses machine learning algorithms and personal data harvesting to prompt people to engage in various financial and social activities that often encourage us to consume more. It creates wealth for businesses and brings satisfaction to customers. We rely on personalised messaging and allow Artificial Intelligence (AI) select information for our personal newsfeeds, contributing to the overall personalisation economy. Personalisation is most often deliberately designed to promote consumption, but that purpose is not preordained. Designers could repurpose personalisation processes to promote ‘greener’ consumption choices or even to reduce consumption all together. This concept paper coins a new term ‘green personalisation’ and discusses pathways to inform new approaches to reduce consumption and the resulting environmental harm.

Item Type: Journal article
Publication Title: The Design Journal
Creators: Kuksa, I., Kent, A. and West, H.
Publisher: Informa UK Limited
Date: 17 July 2024
ISSN: 1460-6925
Identifiers:
NumberType
10.1080/14606925.2024.2377893DOI
2186409Other
Rights: © 2024 The Author(s). This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (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 properly cited, and is not altered, transformed, or built upon in any way.
Divisions: Schools > Nottingham School of Art & Design
Record created by: Jeremy Silvester
Date Added: 02 Aug 2024 13:16
Last Modified: 02 Aug 2024 13:16
URI: https://irep.ntu.ac.uk/id/eprint/51884

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