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Thomas Kosch

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Preprint Aug 2026

A Modular Workflow for Multimodal Reading Experiments

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 mouse and keyboard, synchronizes them via Lab Streaming Layer, and links gaze to browser-based text at the word, sentence, and AOI levels. I...

Thomas Krämer, Thomas Kosch, Dagmar Kern et al. · 0 citations
Conference Open access Aug 2026

Nobody Talks About the Prompt Club: Evaluating Diverse Persona Generation Through System Prompts and Guidelines

Personas are widely used to represent users' motivations, goals, and needs, yet the perspectives of underrepresented groups are rarely addressed in human-centered design. Large Language Models (LLMs) promise to generate personas from vast datasets, but achieving genuine diversity and accurate representation requires de...

C. Lazik, Charlotte Kauter, Isabella Graßl et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Available but Unclaimed: An Empirical Study of Human-AI Synergy

People increasingly reason with large language models (LLMs), yet complementary capabilities do not guarantee outperforming both components. In a between-subjects study, participants (N=535) solved a 40-item battery of matrix reasoning, mental rotation, syllogisms, and letter-string analogies, unaided or with GPT-5.6-L...

Robin Welsch, Michelle Rausch, Pascal Knierim et al. · 0 citations
Book Open access Aug 2026

Does Great Power Come with Great Explainability? Comparing Explanation Strategies for Automated Program Diagnosis

AlHAZEN and AVICENNA show that effective debugging tools have tradeoffs between accuracy and interpretability to support developers’ decision-making in increasingly complex software environments.

C. Lazik, Martin Eberlein, Aaron Ziglowski et al. · 0 citations

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