Research

Explore our collection of papers acknowledged in various conferences and journals

Publications

Here you find an overview of all publications from Thiemo Wambsganss and Roman Rietsche.

Selected journal publications:

  • Ritz, E., Joas, A., Wambsganss, T., Rietsche, R., & Leimeister, J. M. (2024). How a Swiss luxury retailer implements process mining to improve data-driven customer excellence. Journal of Information Technology Teaching Cases, 15(2), 355-363. https://doi.org/10.1177/20438869241261399 (Original work published 2025)
  • 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
  • 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

Selected conference publications:

  • Wettstein, L., Neshaei, S. P., Rietsche, R. & Wambsganss, T. (2026). Adaptive Tutoring Modalities for Supporting Learners’ Reflective Writing Practices. In Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI ’26)
  • Göldi, A., Rietsche, R., & Ungar, L. (2025). Efficient Management of LLM-Based Coaching Agents’ Reasoning While Maintaining Interaction Quality and Speed. In 2025 CHI Conference on Human Factors in Computing Systems (CHI ’25)
  • 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 (CHI’24)
  • 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 (CHI’24)
  • 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 (CHI’24)
  • 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 (CHI’24)
  • 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., 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

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.