Explanatory Journeys: Visualising to Understand and Explain Administrative Justice Paths of Redress

Research output: Contribution to journalArticlepeer-review

Electronic versions

Documents

Links

DOI

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.

Keywords

  • Explanatory visualisation, law, law visualisation, visualisation, Human computer interaction, Computer science, Administrative Justice, Education law, Housing law, Redress, Software Engineering, Graphics, Data analysis, Five Design-Sheet
Original languageEnglish
Pages (from-to)518-528
Number of pages11
JournalIEEE Transactions on visualization and computer graphics
Volume28
Issue number1
Early online date29 Sept 2021
DOIs
Publication statusPublished - Jan 2022
EventIEEE VIS 2021: IEEE Visualization 2021 - New Orleans, United States
Duration: 24 Oct 202129 Oct 2021
http://ieeevis.org/year/2021/welcome

Total downloads

No data available
View graph of relations