8 citations · 30 across the 22 of their papers we have counts for
10 papers · 1 filter
Let Me Clarify: Interactive Modeling of Soft Attributes
Steffen Holter, Rita Sevastjanova, Michaela Benk +1
People commonly express preferences through soft attributes such as is interesting,'' which are difficult to operationalize for computational preference modeling. Latent representa…
MIVAIS: A Study Environment for Multi-Agent Mixed-Initiative Visual Analytics Applications
Tobias Stähle, Simon Schneider, Rita Sevastjanova +1
Mixed-initiative Visual Analytics (VA) systems empower human users by interleaving human intuition with software agents and their machine intelligence. However, the development and…
Creativity from Friction: Human-AI Interaction for Exploratory Structural Design
Ricardo Maia Avelino, Rita Sevastjanova, Tom Van Mele +2
AI agents that generate final answers based on user input often do not meet the needs of creative fields. Fields such as structural design and architecture need interactive systems…
VACP: Visual Analytics Context Protocol
Tobias Stähle, Péter Ferenc Gyarmati, Thilo Spinner +3
The rise of AI agents introduces a fundamental shift in Visual Analytics (VA), in which agents act as a new user group. Current agentic approaches - based on computer vision and ra…
PleaSQLarify: Visual Pragmatic Repair for Natural Language Database Querying
Robin Shing Moon Chan, Rita Sevastjanova, Mennatallah El-Assady
Natural language database interfaces broaden data access, yet they remain brittle under input ambiguity. Standard approaches often collapse uncertainty into a single query, offerin…
A Design Space for Intelligent Agents in Mixed-Initiative Visual Analytics
Tobias Stähle, Matthijs Jansen op de Haar, Sophia Boyer +3
Mixed-initiative visual analytics (VA) systems, where human and artificial intelligence (AI) agents collaborate as equal partners during analysis, represented a paradigm shift in h…
Dia-Lingle: A Gamified Interface for Dialectal Data Collection
Jiugeng Sun, Rita Sevastjanova, Sina Ahmadi +2
Dialects suffer from the scarcity of computational textual resources as they exist predominantly in spoken rather than written form and exhibit remarkable geographical diversity. C…
Is General-Purpose AI Reasoning Sensitive to Data-Induced Cognitive Biases? Dynamic Benchmarking on Typical Software Engineering Dilemmas
Francesco Sovrano, Gabriele Dominici, Rita Sevastjanova +2
Human cognitive biases in software engineering can lead to costly errors. While general-purpose AI (GPAI) systems may help mitigate these biases due to their non-human nature, thei…
generAItor: Tree-in-the-Loop Text Generation for Language Model Explainability and Adaptation
Thilo Spinner, Rebecca Kehlbeck, Rita Sevastjanova +4
Large language models (LLMs) are widely deployed in various downstream tasks, e.g., auto-completion, aided writing, or chat-based text generation. However, the considered output ca…
CommAID: Visual Analytics for Communication Analysis through Interactive Dynamics Modeling
Maximilian T. Fischer, Daniel Seebacher, Rita Sevastjanova +2
Communication consists of both meta-information as well as content. Currently, the automated analysis of such data often focuses either on the network aspects via social network an…