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A user-centred design framework for disaster risk visualisation

delete2022-07-01
delete15
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OA
AI
A
Anna Twomlow
S
Sam Grainger
K
Katarzyna Cieslik
J
Jonathan D. Paul
W
Wouter Buytaert *
DOI:10.1016/j.ijdrr.2022.103067delete
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摘要

摘要

En 中文
Visualisations are powerful communication tools that have the potential to help societies assess and manage natural hazard and disaster risks. However, the diversity of risk management contexts and user characteristics is a challenge to develop understandable and useable visualisations. We conducted a systematic literature review to understand the current state developing disaster risk visualisations following design best practices and accounting for the heterogeneity between end-users and disaster risk contexts. We find that, despite being widely recommended, tailoring visualisations to users through the process of user-centred design remains a relatively unexplored topic within disaster risk. To address this, we present a unifying user-centred design framework for disaster risk visualisation, based on existing visualisation frameworks. The framework contains three phases: the Define phase, which aims to define and characterise the disaster risk management context and end-user group who will benefit from a visualisation; the Design phase, which is highly iterative and presents an opportunity to test how users interpret different design elements; and the Refine phase, which focuses on evaluating how users understand, respond to, and make decisions based on the visualisation. The framework is sufficiently flexible to be applied to any disaster risk management and natural hazard context to identify challenges and design effective disaster risk visualisations that are understandable and useable.
Keyword:
Disaster risk management (DRM)
Natural hazard risk
User-centred design (UCD)
Visualisation
AI总结

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对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

International Journal of Disaster Risk Reduction 封面图
International Journal of Disaster Risk Reduction
IF:
4.5
论文数:
6.1K
被引数:
2.1W

机构

U
University of Cambridge
学者数:
7.7W
论文数: 7.1W
被引数: 13.7W
I
Imperial College London
学者数:
8.3W
论文数: 7.3W
被引数: 11.1W
M
maynooth university
学者数:
2.7K
论文数: 2.6K
被引数: 22
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