Lucas Memmert

After his studies in Business Informatics (Bsc) and IT Management and Consulting (MSc), Lucas worked for a consultancy in the field of Analytics & Cognitive. Since January 2021, he has been working for the Research Group on Information Systems, esp. Socio-Technical Systems Design at the Department of Computer Science at the University of Hamburg. As part of the research project "Hybridisation of Human and Artificial Intelligence in Knowledge Work", he is investigating the collaboration between humans and AI. In particular, he is interested in the question of how AI or its output should be designed to achieve the most effective collaboration.

Keywords: human-ai collaboration; human-ai teaming; complex problem solving; collaborative knowledge work

Memmert, L., Borchers, M., Plückhahn, J. & Bittner, E. (2025): Solving Coding Challenges Jointly with a Large Language Model: Understanding Student Journeys Through Bloom’s Taxonomy. In: 58th Hawaii International Conference on System Sciences (HICSS). (Accepted)

Memmert, L., Mies, J. & Bittner, E. (2024): Brainstorming with a Generative Language Model: The Role of Creative Ability and Tool-Support for Brainstorming Performance. In: 45th International Conference on Information Systems (ICIS) (Accepted)

Memmert, L. (2024): Brainstorming with a Generative Language Model: Understanding Performance Through Brainstorming Group Effects. In: 32nd European Conference on Information Systems (ECIS).

Memmert, L., & Bittner, E. (2024): Human-AI Collaboration for Brainstorming: Effect of the Presence of AI Ideas on Breadth of Exploration. In: 57th Hawaii International Conference on System Sciences (HICSS).

Memmert, L., Cvetkovic, I. & Bittner E. (2024): The More Is Not the Merrier: Effects of Prompt Engineering on the Quality of Ideas Generated By GPT-3. In: 57th Hawaii International Conference on System Sciences (HICSS).

Kučević, E. , von Brackel-Schmidt, C., Lewandowski, T., Leible, S., Memmert, L., Böhmann, T. (2024): The Prompt-a-thon: Designing Formats for Value Co-Creation with Generative AI for Research and Practice. In: 57th Hawaii International Conference on System Sciences (HICSS). Nominated for Best Paper Award

von Brackel-Schmidt, C., Kucevic, E., Memmert, L., Tavanapour, N., Cvetkovic, I., Bittner, E., & Böhmann, T. (2023). A User-centric Taxonomy for Conversational Generative Language Models. In: Proceedings of the 44th International Conference on Information Systems (ICIS). Nominated for Best Paper Award

Memmert, L., Tavanapour, N., & Bittner, E. (2023): Learning by Doing: Educators’ Perspective on an Illustrative Tool for AI-Generated Scaffolding for Students in Conceptualizing Design Science Research Studies. Journal of Information Systems Education, 34(3), 279-292.

Memmert, L. & Tavanapour, N. (2023): Towards Human-AI-Collaboration in Brainstorming: Empirical Insights into the Perception of working with a generative AI. In: 31st European Conference on Information Systems (ECIS).

Memmert, L., Cvetkovic, I. & Bittner, E. (2023): Human-AI Collaboration in Conceptualizing Design Science Research Studies: Perceived Helpfulness of Generative Language Model's Suggestions. In: 31st European Conference on Information Systems (ECIS).

Memmert, L. & Bittner, E. (2022). Complex Problem Solving through Human-AI Collaboration: Literature Review on Research Contexts. In: 55th Hawaii International Conference on System Sciences (HICSS). 

Oeste-Reiß, S., Bittner, E., Cvetkovic, I., Günther, A., Leimeister, J. M., Memmert, L., Ott, A., Sick, B. & Wolter, K. (2021). Hybride Wissensarbeit. Informatik Spektrum.