Visualisation in energy eco-feedback systems: a systematic review of good practice

Chalal, ML ORCID: https://orcid.org/0000-0002-2136-8862, Medjdoub, B ORCID: https://orcid.org/0000-0002-3402-4479, Bezai, N, Bull, R ORCID: https://orcid.org/0000-0002-4372-3589 and Zune, M, 2022. Visualisation in energy eco-feedback systems: a systematic review of good practice. Renewable and Sustainable Energy Reviews, 162: 112447. ISSN 1364-0321

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Abstract

While adopting eco-feedback systems can lead to significant energy savings, in the region of 5–20%, research has shown that the inappropriate use of visualisation patterns and techniques decreases their effectiveness. However, existing reviews on energy feedback visualisation provide little guidance on when to use them and how to enhance their effectiveness in various scenarios. The uncertainty and lack of clarity surrounding eco-feedback visualisation techniques and their impact on end-userengagement present challenges to the design of ecofeedback systems. This paper presents the first systematic review of a wide range of energy eco-feedback visualisation techniques, including, for the first time, Augmented-Reality (AR) and thermal imaging visualisation. We analysed 82 relevant studies published between 2000 and 2021 using the PRISMA protocol for systematic reviews. The visualisation techniques have been reported under five distinct categories, which we have identified: (a) statistical visualisation, (b) architectural and geospatial visualisation, (c) game-based visualisation, (d) artistic visualisation, (e) emerging visualisation. Furthermore, they have been analysed based on the following criteria: type of visualised information, the purpose of use, end-user perception, scholar suggestions, and potential impact. The findings show that statistical visualisation techniques are essential in any energy eco-feedback system. Furthermore, they suggested combining different visualisation techniques to accommodate different user profiles, but such combinations must be carefully planned based on usage scenarios. Following this analysis, a series of considerations and good practice guidelines are presented for each of the reviewed techniques to assist practitioners in this area (e.g., designers and researchers) while providing recommendations for future work.

Item Type:	Journal article
Publication Title:	Renewable and Sustainable Energy Reviews
Creators:	Chalal, M.L., Medjdoub, B., Bezai, N., Bull, R. and Zune, M.
Publisher:	Elsevier
Date:	July 2022
Volume:	162
ISSN:	1364-0321
Identifiers:	Number Type 10.1016/j.rser.2022.112447 DOI 1538615 Other
Rights:	© 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Divisions:	Schools > School of Architecture, Design and the Built Environment
Record created by:	Laura Ward
Date Added:	20 Apr 2022 09:04
Last Modified:	20 Apr 2022 09:04
URI:	https://irep.ntu.ac.uk/id/eprint/46139

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