Head of Behavioral Science
Dr. Matthias Unfried
In his research, he investigates the behavioral foundations of market decisions. The focus is on the influencing factors and the effects of the interaction between humans and machines. In addition, he works on so-called cognitive biases in management decision-making.
Before he joined the Nuremberg Institute for Market Decisions, he was a teaching and research assistant at the University of Erlangen-Nürnberg where he received a PhD in Economics.
Current projects
- Digital Nudges for Sustainable Online Shopping
- DontWasteMeNow
- How Do Risk Perception and Past Experience Shape the Future Business Model?
- One Strike and I'm Out
- How much is the (labelled) pig?
- Do Anthropomorphic Chatbots Influence our Financial Decision-Making?
- There's Fair and there's Fair – Interaction Between Humans and Machines
- Facial Coding and Emotion Detection
Selected publications
- Freisinger, E., Schneider, S. & Unfried, M. (2023). The AI Augmented Crowd: How Human Crowdvoters Adopt AI (or not). Journal of Product Innovation Management, 1-25. https://doi.org/10.1111/jpim.12708
- Eppler, M. J. et al. (2023), Debias by design - A Leader’s Guide to Thinking Errors & Better Decision Making, St. Gallen: Institute for Media and Communications Management, University of St. Gallen
- Heßler, Pascal; Pfeiffer, Jella; and Unfried, Matthias, "Conversational Agents With Voice: How Social Presence Influences the User Behavior in Microlending Decisions" (2023). ECIS 2023 Research Papers. 315.
- Freisinger, E., Unfried, M., & Schneider, S. (2022). The adoption of algorithmic decision-making agents over time: algorithm aversion as a temporary effect? ECIS 2022 Research Papers, 82.
- Seuss, D., Hassan, T., Dieckmann, A., Unfried, M., Scherer, K. R., Mortillaro, M., & Garbas, J. (2021). Automatic Estimation of Action Unit Intensities and Inference of Emotional Appraisals. IEEE Transactions on Affective Computing.
- Scherer, K. R., Mortillaro, M., Dieckmann, A., Unfried M., & Ellgring, H. (2021). Investigating appraisal-driven facial expression and inference in emotion communication. Emotion, 21(1), 73-95.
- Scherer, K. R., Ellgring, H., Dieckmann, A., Unfried, M., & Mortillaro, M. (2019). Dynamic facial expression of emotion and observer inference. Frontiers in Psychology, 10, 508.
- Eyben, F., Unfried, M., Hagerer, G., & Schuller, B. (2017). Automatic multi-lingual arousal detection from voice applied to real product testing applications. Proceedings of the 42nd IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP, New Orleans, LA, USA.
- Dieckmann, A., Grimm, V., Unfried, M., Utikal, V., & Valmasoni, L. (2016). On Trust in Honesty and Volunteering among Europeans: Cross-Country Evidence on Perceptions and Behavior. European Economic Review, 90, 225–253.
- Garbas, J. U., Ruf, T., Unfried, M., & Dieckmann, A. (2013). Towards robust real-time valence recognition from facial expressions for market research applications. Proceedings of the Humaine Association Conference on Affective Computing and Intelligent Interaction, 570–575.
- Leepa, C., & Unfried, M. (2013). Effects of a cut-off in feed-in tariffs on photovoltaic capacity: Evidence from Germany. Energy Policy, 56, 536–542.