Portrait of Lucas Memmert

Dr. Lucas Memmert

Postdoctoral Researcher, University of Zurich (UZH) · Human-AI Collaboration

I seek to understand and design how generative and agentic AI systems change how we work — bridging academia and industry to put this new technology to its best use.

Looking to Collaborate

Physiological AI Engagement

How people physiologically engage with AI solutions — EEG, eye tracking, heart rate, skin conductance.

Agentic Operating Models

Multi-agent use in knowledge work, and agents as dynamic company infrastructure reshaping how organizations operate.

GenAI & Creativity

Generative AI’s role in creative and ideation work, building on my dissertation and brainstorming research.

Looking for researchers interested in co-authoring papers or joint funding applications, and professionals and organizations open to case studies or occasional strategic input on AI adoption, informed by my consulting and research background. Get in touch.

Publications

2026 · Electronic Markets doi ↗

Episodic Oversight in Generative AI Workflows: A Nine-Step Protocol for Preserving Human Agency (OP-9)

Taş, E., Memmert, L., and Bittner, E. · (36:1), p. 58

2026 · DESRIST doi ↗

Designing Mobile Applications for Spontaneous Volunteers: Insights from a Design Science Research Approach

Milutzki, E., Memmert, L., Borchers, M., Zeybek, R., Magdych, V., and Semmann, M. · Münster, Germany, 08.06.2026–10.06.2026

2026 · NeuroIS Retreat 2026

'I Don't Really Care': How Generative AI Use Shapes Affective Reactions to Feedback on Work Outcomes

Memmert, L., and Bittner, E. · Vienna, Austria, 02.06.2026–04.06.2026

2025 · Business & Information Systems Engineering doi ↗

Brainstorming with a Generative Language Model: Effect of Exposure to AI Ideas on Brainstorming Performance and Cognitive Load

Memmert, L., Cvetkovic, I., Tavanapour, N., and Bittner, E.

2025 · Business & Information Systems Engineering doi ↗

From Effort Reduction to Effort Management: An Expectancy Theory Perspective on Professionals' Work Practices with Generative AI

Memmert, L., Soroko, D., and Bittner, E. · (67:5), pp. 615–635

2025 · HICSS cite ↗

Solving Coding Challenges Jointly with a Large Language Model: Understanding Student Journeys Through Bloom's Taxonomy

Memmert, L., Borchers, M., Plückhahn, J., and Bittner, E. · Waikoloa Village, HI, USA, 7.01.2025–10.01.2025

2025 · ICIS cite ↗

AI-Assisted Task Performance: The Moderating Role of Assistance Modality on Motivational Dynamics

de Vreede, T., and Memmert, L. · Nashville, TN, USA, 14.12.2025–17.12.2025

2024 · ICIS cite ↗

Brainstorming with a Generative Language Model: The Role of Creative Ability and Tool-Support for Brainstorming Performance

Memmert, L., Mies, J., and Bittner, E. · Bangkok, Thailand, 15.12.2024–18.12.2024

2024 · HICSS cite ↗

Human-AI Collaboration for Brainstorming: Effect of the Presence of AI Ideas on Breadth of Exploration

Memmert, L., and Bittner, E. · Honolulu, HI, USA, 03.01.2024–06.01.2024, pp. 421–430

2024 · HICSS cite ↗

The More Is Not the Merrier: Effects of Prompt Engineering on the Quality of Ideas Generated By GPT-3

Memmert, L., Cvetkovic, I., and Bittner, E. · Honolulu, HI, USA, 03.01.2024–06.01.2024, pp. 7520–7529

2024 · HICSS cite ↗

The Prompt-a-thon: Designing a Format for Value Co-Creation with Generative AI for Research and Practice

Kučević, E., von Brackel-Schmidt, C., Lewandowski, T., Leible, S., Memmert, L., and Böhmann, T. · Honolulu, HI, USA, 03.01.2024–06.01.2024, pp. 1586–1595

Nominated for Best Paper Award
2023 · ICIS cite ↗

A User-centric Taxonomy for Conversational Generative Language Models

von Brackel-Schmidt, C., Kucevic, E., Memmert, L., Tavanapour, N., Cvetkovic, I., Bittner, E., and Böhmann, T.

Nominated for Best Paper Award
2023 · Journal of Information Systems Education cite ↗

Learning by Doing: Educators' Perspective on an Illustrative Tool for AI-Generated Scaffolding for Students in Conceptualizing Design Science Research Studies

Memmert, L., Tavanapour, N., and Bittner, E. · (34:3), pp. 279–292

2023 · ECIS cite ↗

Towards Human-AI Collaboration in Brainstorming: Empirical Insights into the Perception of Working with a Generative AI

Memmert, L., and Tavanapour, N. · Kristiansand, Norway, 11.06.2023–16.06.2023

2023 · ECIS cite ↗

Human-AI Collaboration in Conceptualizing Design Science Research Studies: Perceived Helpfulness of Generative Language Model's Suggestions

Memmert, L., Cvetkovic, I., and Bittner, E. · Kristiansand, Norway, 11.06.2023–16.06.2023

2022 · HICSS doi ↗

Complex Problem Solving through Human-AI Collaboration: Literature Review on Research Contexts

Memmert, L., and Bittner, E. · Virtual Event/Maui, HI, USA, 04.01.2022–07.01.2022, pp. 378–387

2021 · Informatik Spektrum doi ↗

Hybride Wissensarbeit

Oeste-Reiß, S., Bittner, E., Cvetkovic, I., Günther, A., Leimeister, J., Memmert, L., Ott, A., Sick, B., and Wolter, K. · (44:3), pp. 148–152

Dissertation

2025 · PhD Dissertation record ↗

How Generative Language Models Shape Human Problem Solving: A Phenomenon-centered, Sociotechnical Perspective

Memmert, L. · Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky, Universität Hamburg

Talks

  • Panel discussion on AI and creativity at the “Future Playgrounds 2025” festival by Peter Schmidt Group
  • Podcast episode with the Digital and Data Literacy in Teaching Lab on our EU AI Act-related seminar (Jan 2025)
  • Paper presentation at 45th International Conference on Information Systems (ICIS), Bangkok, Thailand. 15.12.2024–18.12.2024.
  • Paper presentation at 32nd European Conference on Information Systems (ECIS), Paphos, Cyprus.
  • Paper presentations at the 57th Hawaii International Conference on System Sciences, Honolulu, HI, USA. 03.01.2024–06.01.2024.
  • Paper presentations at the 31st European Conference on Information Systems (ECIS), Kristiansand, Norway. 11.06.2023–16.06.2023.
  • Paper presentation at the 55th Hawaii International Conference on System Sciences (HICSS).

Teaching

University of Zurich

  • Information Management (Lecture with integrated exercise) · Autumn Semester 2026
  • Collaboration Engineering (Lecture with integrated exercise) · Spring Semester 2026
  • Design Science Research (Seminar) · Autumn Semester 2026
  • Human-AI Collaboration (Lecture) · Autumn Semester 2026

University of Hamburg

  • BreAkIng Bad – Hacking the EU AI Act (Seminar) · Winter Semester 2023/24
  • Guest lecture in Collaboration Engineering (CE) & CSCW and Social Computing
  • Guest lecture in Data-driven Solutions for the Smart City Hamburg
  • Guest lecture in Knowledge Work and Knowledge Management

Supervision

Supervisor and/or reviewer for 25 bachelor and master theses, with particular focus on generative AI in creativity and design science research (DSR). Two of the theses I supervised have received awards:

Service to the Research Community

Served as a reviewer for over 15 manuscripts for both journals and conferences including Journal of Information Technology (JIT), Business & Information Systems Engineering (BISE), Group Decision and Negotiation, Communications of the Association for Information Systems (CAIS), Journal of Information Systems Education (JISE), International Conference on Information Systems (ICIS), European Conference on Information Systems (ECIS), Internationale Tagung Wirtschaftsinformatik (WI), Pacific Asia Conference on Information Systems (PACIS), and Hawaii International Conference on System Sciences (HICSS).

Invited to serve as Associate Editor (AE) for two upcoming conferences.

Projects

About Me

I’m passionate about how technology transforms the way we work and create value. After studying Information Systems — B.Sc. Wirtschaftsinformatik at Wismar University of Applied Sciences, M.Sc. IT Management & Consulting at the University of Hamburg, with a semester abroad at the University of St Andrews — I gained hands-on experience in software development, process optimization, and enterprise architecture.

I then spent four years at Deloitte, most recently as a Senior Consultant, where I helped organizations leverage data, analytics, and AI—shaping strategies, building agile teams, and establishing AI governance. I worked with medium to large organizations across industries such as telecommunications, chemicals, consumer goods, and industrial goods, both in Germany and abroad.

I completed my PhD in 2026, focusing on how individuals can benefit from generative AI and how it reshapes human behavior. From Jan–Mar 2025, I expanded this research during a stay at the University of South Florida in Tampa. Since March 2026, I have been a postdoc at the Human-centered Information Systems Engineering (HISE) group, Department of Informatics, University of Zurich (UZH).

Contact

Contact me to discuss joint interests or projects! — lucas.memmert [at] uzh.ch