Teresa Luther

Teresa Luther is a researcher and doctoral candidate at the Leibniz-Institut für Wissensmedien (IWM) in Tübingen, Germany, affiliated with the Knowledge Construction lab. She holds a Master of Science in Psychology from the University of Tübingen and is currently pursuing her PhD, focusing on human-AI collaboration in writing contexts.

Her educational background includes a B.Sc. and M.Sc. in Psychology from the University of Tübingen. She has served as a research assistant at the University Hospital for Psychiatry and Psychotherapy Tübingen and as a teaching assistant in Psychological Diagnostics at the Institute of Psychology, University of Tübingen.

Teresa's research centers on how humans collaborate with language-based AI agents like ChatGPT, examining both individual and team-level interactions. She investigates factors such as trust, anthropomorphism, task type, and team composition in collaborative writing scenarios. Her work bridges psychology, human-computer interaction, and AI ethics, aiming to understand how AI integration affects group dynamics, performance, and user perception.

The recent publications highlight a strong focus on human-AI co-writing, trust, perceived authorship, and interaction patterns. The research employs experimental, survey, and vignette-based methods, often using open science practices like preregistration and public data sharing. Key themes include the impact of writing perspectives, anthropomorphic design, and perceived competence in AI-generated content.

• Cortisol in schizophrenia spectrum disorders: A comprehensive meta-analysis (2025)
• Investigating Interaction Patterns of Co-writing with AI (2025)
• Teaming up with an AI: Exploring human-AI collaboration (2024)
• Co-writing with AI: How do people interact with ChatGPT? (2024)
• The impact of text topic and assumed human vs. AI authorship (2024)

Teresa actively contributes to the academic community through conference presentations at HCI International and the German Psychological Society. She collaborates with prominent researchers such as Joachim Kimmerle and Ulrike Cress. While she has not yet supervised students, her role in large-scale, interdisciplinary projects indicates growing leadership in her field. Her work is supported by open science practices, including public datasets and code availability.

She is involved in multiple research labs at IWM, including Knowledge Construction, Multimodal Interaction, Perception and Action, and Everyday Media, reflecting the interdisciplinary nature of her research. Her projects, such as 'Collaboration between humans and language-based agents' and 'A longitudinal study on the perceptions and dynamics of human-AI interaction', are central to understanding future human-AI collaboration in educational and professional settings.