1

ADD-up: Visual Analytics for Augmented Deliberative Democracy

We demonstrate the first prototype of the ADD-up visual analytics system. The Augmented Deliberative Democracy (ADD-up) project aims to enhance public deliberations by providing argument analytics in real time. The system will ultimately take a …

Analyzing Visual Mappings of Traditional and Alternative Music Notation

In this paper, we postulate that combining the domains of information visualization and music studies paves the ground for a more structured analysis of the design space of music notation, enabling the creation of alternative music notations that are …

Augmenting Public Deliberations through Stream Argument Analytics and Visualisations

Public deliberations are organised by governments and other large institutions to take the views of citizens around controversial issues. Increasing public demand and the associated burden on public funding make the quality of public deliberation …

Distances, Neighborhoods, or Dimensions? Projection Literacy for the Analysis of Multivariate Data

Projections are some of the most common methods for presenting high-dimensional datasets on a 2D display. While these techniques provide overviews that highlight relations between observations, they are unavoidably subject to change depending on …

Going beyond Visualization: Verbalization as Complementary Medium to Explain Machine Learning Models

In this position paper, we argue that a combination of visualization and verbalization techniques is beneficial for creating broad and versatile insights into the structure and decision-making processes of machine learning models. Explainability of …

LTMA: Layered Topic Matching for the Comparative Exploration, Evaluation, and Refinement of Topic Modeling Results

We present LTMA, a Layered Topic Matching approach for the unsupervised comparative analysis of topic modeling results. Due to the vast number of available modeling algorithms, an efficient and effective comparison of their results is detrimental to …

Minions, Sheep, and Fruits: Metaphorical Narratives to Explain Artificial Intelligence and Build Trust

Advanced artificial intelligence models are used to solve complex real-world problems across different domains. While bringing along the expertise for their specific domain problems, users from these various application fields often do not readily …

Mixed-Initiative Active Learning for Generating Linguistic Insights in Question Classification

We propose a mixed-initiative active learning system to tackle the challenge of building descriptive models for under-studied linguistic phenomena. Our particular use case is the linguistic analysis of question types, in particular in understanding …

Speculative Execution for Guided Visual Analytics

We propose the concept of Speculative Execution for Visual Ana-lytics and discuss its effectiveness for model exploration and optimization. Speculative Execution enables the automatic generation of alternative, competing model configurations that do …

Towards Deliberation Analytics: Stream Processing of Argument Data for Deliberative Communication

Participants in a deliberative discourse are expected to follow specific rules of communication to legitimise outcomes. This paper focuses on technology developed around streams of computational argument data which is intended to inform and improve …