Dr. Chris McTeague
Postdoctoral Researcher | Deputy Chair

Curriculum Vitae
Chris is an interdisciplinary researcher in engineering and design psychology. He researches creativity and cognition to help develop new methods and tools to improve professional practice. He originally trained in Product Design Engineering, completing his Master’s degree at the University of Strathclyde. There, he became a member of the Imagine-Design research team, completing both a PhD and a role as Research Assistant in engineering design cognition and neuroscience. He then completed a postdoc at the University of the West of England in Bristol. Now, he is a postdoc at the Chair for Integrated Product Design at TUM.
Research Focus
• Research topics:
- creative ideation;
- information comprehension;
- creative spaces;
- metacognition;
- the neural basis of design.
• Research methods:
- controlled experiments;
- cognitive modelling;
- creativity assessment
Research projects
• The role of metacognition in creative spaces
• Development of a causal theory of creative spaces
Teaching
IPD Research Seminar
Select Publications
McTeague, C., Dreyer, S., Liu, S., Kizilkaya, A., & Thoring, K. (2025). Emotional responses to the design of multisensory interior spaces. Proceedings of the Design Society, 5, 1475–1484. https://doi.org/10.1017/pds.2025.10161
McTeague, C., & Thoring, K. (2024a). Mediators of the relationship between physical indoor spaces and creativity. Proceedings of the Design Society, 1025–1034. https://doi.org/10.1017/pds.2024.105
McTeague, C., & Thoring, K. (2024b, June 23). Creative workspaces and designer metacognition: A framework, measures, and interventions. DRS2024. https://doi.org/10.21606/drs.2024.926
Campbell, G., Hay, L., Duffy, A., Lyall, L., Mcteague, C., Vuletic, T., Grealy, M., 2023. Investigating the Cognitive Processes Involved in Design Ideation Using Psychological Tests. Design Computing and Cognition’22 179–196. https://doi.org/10.1007/978-3-031-20418-0_12
McTeague, C., & Chatzimichali, A. (2024). An approach for enhancing and measuring information comprehensibility for engineering designers: Applied to patent documents. AI EDAM, 38, e10. doi.org/10.1017/S0890060424000076
Hay, L., Duffy, A.H.B., McTeague, C., Pidgeon, L.M., Vuletic, T., Grealy, M., 2017. Towards a shared ontology: A generic classification of cognitive processes in conceptual design. Design Science 3, e7. https://doi.org/10.1017/dsj.2017.6