Conferences  >  Informatics  >  Human-Computer Interaction, User Experience, Virtual Reality  >  Germany

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

Faithful data representation is key. While this is universally true for visual analysis, the field of biological data communication has its unique challenges and open questions. Researchers need the right context to interpret data accurately, especially when uncertainties arise from factors like sampling choices or analysis parameters. Simplifying data for wider audiences must still convey its complexity and uncertainty to support informed decisions. This Dagstuhl Seminar will bring together experts in data visualisation and design, researchers, public educators, and journalists to explore methods for embracing and communicating biodata complexity and uncertainty.

Multimedia, Computer Graphics and Visualization, Games,    Scientific Computing and Data Science

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

Neural Networks and Artificial Intelligence, Machine Learning,    Implementation and Applications of Artificial Intelligence

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

When designing and evaluating new interactive systems, we are quick to discourage and reject new technical opportunities that would cause fatigue. This is especially constraining as we design evermore body-based devices and experiences, where, initially, users' arms can feel heavy and sensations of fatigue be more acute. We argue that our simplistic view and avoidance of fatigue discredits opportunities around adaptation, training, optimisation, and the resilience built through expertise and repeated use. Despite advances in wearable and physiological sensing and modelling, there is still much room for developing a more nuanced view of fatigue. From its effects on low-level action-perception loops, through to impacts on decision-making in social-technical systems, to modelling and predicting its onset, development and experiential properties, significant work remains for the Human-Computer Interaction (HCI) community and beyond. This Dagstuhl Seminar aims to explore the role of fatigue in body-based interactions, bringing together experts from HCI, biomechanics, ergonomics, and cognitive psychology.

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

Human-Computer Interaction (HCI) is undergoing a profound epistemological shift. For decades, the field has developed a rich repertoire of research methods informed by its interdisciplinary origins. These methods have enabled HCI researchers to explore phenomena across a wide range of domains—from desktop work environments to everyday life—with approaches that span controlled experiments, ethnographic fieldwork, and design interventions. However, the increasing integration of artificial intelligence (AI), and particularly generative AI (genAI), into both interactive systems and research workflows is disrupting the foundational assumptions behind these methods. This Dagstuhl Seminar invites participants to examine how HCI research methods must adapt in light of these developments—and what new opportunities and risks this transformation entails.

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

Speech Translation; Human Interpretation; Multilingual AI Assistant; Speech Processing; Human-Computer Interaction

Natural Language Processing, Computational Linguistics,    Linguistics

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

In this Dagstuhl Seminar, we aim to bring together researchers and industry practitioners who study and build digital games. The goal is to generate a better understanding of the harms in games and progress towards enriching playful experiences for broad groups of players.

games; toxicity; deceptive design; problematic gaming; accessibility;

Social Networks and Social Aspects of Information Technology,    Multimedia, Computer Graphics and Visualization, Games

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

This Dagstuhl Seminar is relevant to the diverse fields of data management, data engineering, human computation and crowdsourcing, data-driven decision-making, responsible AI, and data governance. The seminar looks at three perspectives: Human, Computational, and Institutional. There is an evident need to bring together perspectives from domain experts who understand the properties and semantics of the datasets (human perspective); from algorithmic advancements that can help improve data quality (computational perspective); and from institutional imperatives including regulations, standards and organizational policies that create necessary safeguards for governance of data pipeline processes (institutional perspective).

Data Quality; Bias and Fairness; Responsible AI

Database Technology and Design, Search Engines and Data Mining,    Social Networks and Social Aspects of Information Technology