Explanatory Journeys: Visualising to Understand and Explain Administrative Justice Paths of Redress
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In: IEEE Transactions on visualization and computer graphics, Vol. 28, No. 1, 01.2022, p. 518-528.
Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Explanatory Journeys: Visualising to Understand and Explain Administrative Justice Paths of Redress
AU - Roberts, Jonathan C.
AU - Butcher, Peter
AU - Sherlock, Ann
AU - Nason, Sarah
N1 - 10.13039/501100000279-Nuffield Foundation (Grant Number: JUS43523)
PY - 2022/1
Y1 - 2022/1
N2 - Administrative justice concerns the relationships between individuals and the state. It includes redress and complaints on decisions of a child's education, social care, licensing, planning, environment, housing and homelessness. However, if someone has a complaint or an issue, it is challenging for people to understand different possible redress paths and explore what path is suitable for their situation. Explanatory visualisation has the potential to display these paths of redress in a clear way, such that people can see, understand and explore their options. The visualisation challenge is further complicated because information is spread across many documents, laws, guidance and policies and requires judicial interpretation. Consequently, there is not a single database of paths of redress. In this work we present how we have co-designed a system to visualise administrative justice paths of redress. Simultaneously, we classify, collate and organise the underpinning data, from expert workshops, heuristic evaluation and expert critical reflection. We make four contributions: (i) an application design study of the explanatory visualisation tool (Artemus), (ii) coordinated and co-design approach to aggregating the data, (iii) two in-depth case studies in housing and education demonstrating explanatory paths of redress in administrative law, and (iv) reflections on the expert co-design process and expert data gathering and explanatory visualisation for administrative justice and law.
AB - Administrative justice concerns the relationships between individuals and the state. It includes redress and complaints on decisions of a child's education, social care, licensing, planning, environment, housing and homelessness. However, if someone has a complaint or an issue, it is challenging for people to understand different possible redress paths and explore what path is suitable for their situation. Explanatory visualisation has the potential to display these paths of redress in a clear way, such that people can see, understand and explore their options. The visualisation challenge is further complicated because information is spread across many documents, laws, guidance and policies and requires judicial interpretation. Consequently, there is not a single database of paths of redress. In this work we present how we have co-designed a system to visualise administrative justice paths of redress. Simultaneously, we classify, collate and organise the underpinning data, from expert workshops, heuristic evaluation and expert critical reflection. We make four contributions: (i) an application design study of the explanatory visualisation tool (Artemus), (ii) coordinated and co-design approach to aggregating the data, (iii) two in-depth case studies in housing and education demonstrating explanatory paths of redress in administrative law, and (iv) reflections on the expert co-design process and expert data gathering and explanatory visualisation for administrative justice and law.
KW - Explanatory visualisation
KW - law
KW - law visualisation
KW - visualisation
KW - Human computer interaction
KW - Computer science
KW - Administrative Justice
KW - Education law
KW - Housing law
KW - Redress
KW - Software Engineering
KW - Graphics
KW - Data analysis
KW - Five Design-Sheet
U2 - 10.1109/TVCG.2021.3114818
DO - 10.1109/TVCG.2021.3114818
M3 - Article
VL - 28
SP - 518
EP - 528
JO - IEEE Transactions on visualization and computer graphics
JF - IEEE Transactions on visualization and computer graphics
SN - 1077-2626
IS - 1
T2 - IEEE VIS 2021
Y2 - 24 October 2021 through 29 October 2021
ER -