activity
20112026
most citedHow Accurate Does It Feel? -- Human Perception of Different Types of Classification Mistakes

23 citations · 200 across the 44 of their papers we have counts for

collaborators

45 papers

cs.IR2026★ 14 cited

Genuine Information Needs of Social Scientists Looking for Data

Andrea Papenmeier, Thomas Krämer, Tanja Friedrich +2

Publishing research data is widely expected to increase its reuse and to inspire new research. In the social sciences, data from surveys, interviews, polls, and statistics are prim…

cs.HC2026

"I don't know anything about laptops!" - User Perception of Digital Product Advisors Adapting to Their Knowledge Levels

Kevin Schott, Andrea Papenmeier, Daniel Hienert +1

Conversational commerce uses digital assistants to support the search process and decision-making in e-commerce. Effective communication in these interactions can be facilitated by…

cs.HC2026

Cleo: A Transparent and Controllable Chatbot for Conversational Commerce

Kevin Schott, Jan Lattenkamp, Daniel Hienert +1

We demonstrate Cleo, a transparent and controllable conversational product advisor that addresses the challenges of opacity, unpredictability of LLMs, and the complexity of compari…

cs.HC2026

A Modular Workflow for Multimodal Reading Experiments

Thomas Krämer, Thomas Kosch, Dagmar Kern +1

We introduce a web-based modular workflow for real-time multimodal experiments in naturalistic online reading. The workflow integrates eye tracking, EEG, and interaction data from…

cs.HC2026

Topic Matters: How Linguistic Properties can Shape Reading Behaviour in Selective Exposure Studies

Thomas Krämer, Dagmar Kern, Thomas Kosch +1

Research on selective exposure frequently relies on eye tracking to study reading behaviour, often assuming that texts across different controversial topics are comparable once bas…

cs.IR2026

Continuous Online Evaluation of Recommendation Strategies in Social Science Academic Search

Mehmet Deniz Türkmen, Daniel Hienert

Delivering relevant recommendations in academic search engines is a complex task due to the diversity of subject areas, information types, and user preferences. In this case study,…