activity
20132026
most citedWhat is Visualization Really for?

40 citations · 97 across the 17 of their papers we have counts for

collaborators

17 papers

cs.HC2026

Exploring 3D Glyph Physicalizations for Public Engagement through River Health

Maria Teresa Ortoleva, Min Chen, Rita Borgo +1

Introduction: In this paper, we present the preliminary design of a toolkit for making glyph-based physicalizations for public engagement. We use London river health data as a case…

cs.CR2024

A Formal Approach For Modelling And Analysing Surgical Procedures (Extended Version)

Ioana Sandu, Rita Borgo, Prokar Dasgupta +2

Surgical procedures are often not "standardised" (i.e., defined in a unique and unambiguous way), but rather exist as implicit knowledge in the minds of the surgeon and the surgica…

cs.HC2024

Mental Well-being Opportunities in Interacting and Reflecting with Personal Data Sculptures of EEG

Maria Teresa Ortoleva, Rita Borgo, Alfie Abdul-Rahman

Data physicalization is a research area in quick expansion whose necessity and popularity are motivated by the pervasiveness of data in our everyday. While the reflective ability o…

cs.CL2024

Visual Analytics for Fine-grained Text Classification Models and Datasets

Munkhtulga Battogtokh, Yiwen Xing, Cosmin Davidescu +3

In natural language processing (NLP), text classification tasks are increasingly fine-grained, as datasets are fragmented into a larger number of classes that are more difficult to…

cs.HC2023★ 5 cited

Visualizing Historical Book Trade Data: An Iterative Design Study with Close Collaboration with Domain Experts

Yiwen Xing, Cristina Dondi, Rita Borgo +1

The circulation of historical books has always been an area of interest for historians. However, the data used to represent the journey of a book across different places and times…

cs.HC2023★ 6 cited

Reclaiming the Horizon: Novel Visualization Designs for Time-Series Data with Large Value Ranges

Daniel Braun, Rita Borgo, Max Sondag +1

We introduce two novel visualization designs to support practitioners in performing identification and discrimination tasks on large value ranges (i.e., several orders of magnitude…