HAIS LAB

Research

AI-based Writing

We design and develop AI-based writing support systems, e.g., to enable humans to receive adaptive feedback on their logical argumentation.

Conversational Agents

We deliver top-notch service, and handle requests with expertise, ensuring your journey is smooth and hassle-free

NLP and LLM

To build and study novel human-centered AI-based systems, we draw on Natural Language Processing and Machine Learning.

Ethics and Fairness in AI

We are committed to ensuring that our AI-based systems are fair, transparent, and unbiased, and we conduct research to understand and address ethical issues in AI.

Human-Centered Prompt Engineering

Our approach to prompt engineering is based on Design Thinking and User-Centered Design. For more details, you can read our article on Human-Centered Prompt Engineering here.

Explore our collection of papers acknowledged in various conferences and journals

Publications

Here you find an overview of all publications at Google Scholar and ReserachGate.

Selected publications:

  • Wambsganss, T., Janson, A., Söllner, M., Koedinger, K. & Leimeister, J. M. (2024). Improving Students’ Argumentation Skills Using Dynamic Machine-Learning–Based Modeling. In Information Systems Research 0(0) PDF
  • Lee, M., Gero, K. I., Chung, J. J. Y., Shum, S. B., Raheja, V., Shen, H., Venugopalan, S., Wambsganss, T., Zhou, D., Alghamdi, E. A., August, T., Bhat, A., Choksi, M. Z., Dutta, S., Guo, J. L. C., Hoque, M. N., Kim, Y., Knight, S., Neshaei, S. P., Shibani, A., Shrivastava, D., Shroff, L., Sergeyuk, A., Stark, J., Sterman, S., Wang, S., Bosselut, A., Buschek, D., Chang, J. C., Chen, S., Kreminski, M., Park, J., Pea, R., Rho, E. H. R., Shen, Z., & Siangliulue, P. (2024). A Design Space for Intelligent and Interactive Writing Assistants. In 2024 CHI Conference on Human Factors in Computing Systems 
  • Weber, F., Wambsganss, T., Neshaei, P., Söllner, M. (2024). LegalWriter: An Intelligent Writing Support System for Structured and Persuasive Legal Case Writing for Novice Law Students (2024): A Design Space for Intelligent and Interactive Writing Assistants. In 2024 CHI Conference on Human Factors in Computing Systems 
  • Davis, R., Wambsganss, T., Jiang, W., Kim, K., Käser, T., Dillenbourg, P. (2024): Fashioning Creative Expertise with Generative AI: Graphical Interfaces for Design Space Exploration Better Support Ideation Than Text Prompts. In 2024 CHI Conference on Human Factors in Computing Systems 
  • Göldi, A., Wambsganss, T., Neshaei, P., Rietsche, E. (2024): Intelligent Support Engages Writers Through Relevant Cognitive Processes. In 2024 CHI Conference on Human Factors in Computing Systems 
  • Wambsganss, T., Xiaotian, S., Swamy, V., Neshaei, P., Rietsche, R., Käser, T. (2023). Unraveling Downstream Gender Bias from Large Language Models: A Study on AI Educational Writing Assistance. Conference on Empirical Methods in Natural Language Processing (EMNLP). Singapore.  PDF
  • Wambsganss, T., Janson, A., & Leimeister, J. M. (2022): Enhancing Argumentative Writing With Automated Feedback and Social Comparison Nudging.  Computers & Education, Volume 191, 2022, Article 104644. PDF
  • Wambsganss, T., Söllner, M., Koedinger, K., & Leimeister, J. M. (2022): Adaptive Empathy Learning Support in Peer Review Scenarios. In CHI Conference on Human Factors in Computing Systems (CHI’22), April 29-May 5, 2022, New Orleans, LA, USA. ACM, New York, NY, USA .  PDF
  • Wambsganss, T., & Niklaus, C. (2022): Modeling Persuasive Discourse to Adaptively Support Students’ Argumentative Writing In The 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022) .  PDF
  • Wambsganss, T., Niklaus, C., Söllner, M., Handschuh, S., & Leimeister, J. M. (2021): Supporting Cognitive and Emotional Empathic Writing of Students. In The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021) .  PDF
  • Wambsganss, T.; Küng, T.; Matthias, S. & Leimeister, J. M. (2021): ArgueTutor: An Adaptive Dialog-Based Learning System for Argumentation Skills In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems PDF
  • Wambsganss, T., Niklaus, C., Cetto, M., Söllner, M., Handschuh, S., & Leimeister, J. M. (2020). AL: An adaptive learning support system for argumentation skills. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (pp. 1-14). PDF