Enhancing Understanding of Constitutional Law through Visual Design

TY - CHAP

T1 - Enhancing Understanding of Constitutional Law through Visual Design

AU - Xing, Yiwen

AU - Cole, Nicholas

AU - Borgo, Rita

AU - Abdul-Rahman, Alfie

PY - 2021/10/24

Y1 - 2021/10/24

N2 - In this paper, we present a work-in-progress visual analysis prototype to support domain experts in their understanding and analysis of constitutional law. In accordance with digital humanities domain, constitutional data is rich in relational, hierarchical, temporal, and text features. Data have complex implicit network structures and event-based dynamics and as such they have always posed a challenge to visualization. Through ongoing discussion with experts in constitutional law, we design a prototype with paralleled ThemeRiver and hierarchy tree to support the understanding of constitutional-convention data by showing the hierarchical structures and trends of selected attributes through their temporal development, and making values and trends of different attributes comparable simultaneously.

AB - In this paper, we present a work-in-progress visual analysis prototype to support domain experts in their understanding and analysis of constitutional law. In accordance with digital humanities domain, constitutional data is rich in relational, hierarchical, temporal, and text features. Data have complex implicit network structures and event-based dynamics and as such they have always posed a challenge to visualization. Through ongoing discussion with experts in constitutional law, we design a prototype with paralleled ThemeRiver and hierarchy tree to support the understanding of constitutional-convention data by showing the hierarchical structures and trends of selected attributes through their temporal development, and making values and trends of different attributes comparable simultaneously.

M3 - Poster abstract

BT - IEEE VIS 2021

ER -