activity
20112024
most citedToward a deeper understanding of Visualization through keyword analysis

81 citations · 188 across the 15 of their papers we have counts for

collaborators

15 papers

cs.HC2024★ 2 cited

Better Together? The Role of Explanations in Supporting Novices in Individual and Collective Deliberations about AI

Timothée Schmude, Laura Koesten, Torsten Möller +1

Deploying AI systems in public institutions can have far-reaching consequences for many people, making it a matter of public interest. Providing opportunities for stakeholders to c…

cs.HC2024★ 2 cited

An Image-based Typology for Visualization

Jian Chen, Petra Isenberg, Robert S. Laramee +4

We present and discuss the results of a qualitative analysis of visualization images to derive an image-based typology of visualizations. For each image, we seek to identify its ma…

cs.HC2024★ 12 cited

Information That Matters: Exploring Information Needs of People Affected by Algorithmic Decisions

Timothée Schmude, Laura Koesten, Torsten Möller +1

Every AI system that makes decisions about people has a group of stakeholders that are personally affected by these decisions. However, explanations of AI systems rarely address th…

cs.HC2023★ 5 cited

The Gulf of Interpretation: From Chart to Message and Back Again

Christian Knoll, Torsten Möller, Kathleen Gregory +1

Charts are used to communicate data visually, but often, we do not know whether a chart's intended message aligns with the message readers perceive. In this mixed-methods study, we…

cs.HC2023

Practitioners' Perspectives on Designing Data Visualizations for the General Public

Regina Schuster, Kathleen Gregory, Torsten Möller +1

Public-facing data visualizations can play a vital role in making complex information clear and engaging, thereby encouraging informed public discourse and participation. However,…

cs.HC2023

On the Impact of Explanations on Understanding of Algorithmic Decision-Making

Timothée Schmude, Laura Koesten, Torsten Möller +1

Ethical principles for algorithms are gaining importance as more and more stakeholders are affected by "high-risk" algorithmic decision-making (ADM) systems. Understanding how thes…

cs.HC2022

"Being Simple on Complex Issues" -- Accounts on Visual Data Communication about Climate Change

Regina Schuster, Kathleen Gregory, Torsten Möller +1

Data visualizations play a critical role in both communicating scientific evidence about climate change and in stimulating engagement and action. To investigate how visualizations…

cs.GR2022★ 4 cited

Not As Easy As You Think -- Experiences and Lessons Learnt from Trying to Create a Bottom-Up Visualization Image Typology

Jian Chen, Petra Isenberg, Robert S. Laramee +4

We present and discuss the results of a two-year qualitative analysis of images published in IEEE Visualization (VIS) papers. Specifically, we derive a typology of 13 visualization…

cs.LG2022

FuNNscope: Visual microscope for interactively exploring the loss landscape of fully connected neural networks

Aleksandar Doknic, Torsten Möller

Despite their effective use in various fields, many aspects of neural networks are poorly understood. One important way to investigate the characteristics of neural networks is to…

cs.CV2021★ 50 cited

VIS30K: A Collection of Figures and Tables from IEEE Visualization Conference Publications

Jian Chen, Meng Ling, Rui Li +8

We present the VIS30K dataset, a collection of 29,689 images that represents 30 years of figures and tables from each track of the IEEE Visualization conference series (Vis, SciVis…

cs.HC2019★ 31 cited

embComp: Visual Interactive Comparison of Vector Embeddings

Florian Heimerl, Christoph Kralj, Torsten Möller +1

This paper introduces embComp, a novel approach for comparing two embeddings that capture the similarity between objects, such as word and document embeddings. We survey scenarios…

cs.SI2019★ 1 cited

Nonuniform Timeslicing of Dynamic Graphs Based on Visual Complexity

Yong Wang, Daniel Archambault, Hammad Haleem +3

Uniform timeslicing of dynamic graphs has been used due to its convenience and uniformity across the time dimension. However, uniform timeslicing does not take the data set into ac…

cs.GR2018

cellPACKexplorer: Interactive Model Building for Volumetric Data of Complex Cells

M. Schwarzl, L. Autin, G. Johnson +2

Given an algorithm the quality of the output largely depends on a proper specification of the input parameters. A lot of work has been done to analyze tasks related to using a fixe…

cs.DL2014★ 81 cited

Toward a deeper understanding of Visualization through keyword analysis

Petra Isenberg, Tobias Isenberg, Michael Sedlmair +2

We present the results of a comprehensive analysis of visualization paper keywords supplied for 4366 papers submitted to five main visualization conferences. We describe main keywo…

eess.SY2011

Paraglide: Interactive Parameter Space Partitioning for Computer Simulations

Steven Bergner, Michael Sedlmair, Sareh Nabi +2

In this paper we introduce paraglide, a visualization system designed for interactive exploration of parameter spaces of multi-variate simulation models. To get the right parameter…