15 papers
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…
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…
Fostering human learning is crucial for boosting human-AI synergy
Julian Berger, Jason W. Burton, Ralph Hertwig +9
The collaboration between humans and artificial intelligence (AI) holds the promise of achieving superior outcomes compared to either acting alone-a phenomenon called human-AI syne…
Explaining Too Much? Understanding How Large Language Model Reasoning Traces Influence Performance and Metacognition
Daniela Fernandes, Daniel Buschek, Lev Tankelevitch +2
Large Language Model interfaces are increasingly verbose, exposing intermediate reasoning traces alongside final answers. Traces are framed as transparency mechanisms, yet it is un…
LLM-Based Educational Simulation: Evaluating Temporal Student Persona Stability Across ADHD Profiles
Jana Gonnermann-Müller, Jana Gonnermann-Müller, Jennifer Haase +3
Student simulation with Large language models (LLMs) offers a scalable alternative for educational research and teacher training. Yet, its validity depends on whether models mainta…
Stable Personas: Dual-Assessment of Temporal Stability in LLM-Based Human Simulation
Jana Gonnermann-Müller, Jennifer Haase, Nicolas Leins +2
Large Language Models (LLMs) acting as artificial agents offer the potential for scalable behavioral research, yet their validity depends on whether LLMs can maintain stable person…