Dr. Matthias Unfried

Dr. Matthias Unfried leitet die Forschungsgruppe Behavioral Science am Nürnberg Institut für Marktentscheidungen e. V. (NIM). In seiner Forschung untersucht er die verhaltenswissenschaftlichen Grundlagen von Entscheidungen von Marktakteuren. Seine Forschung umfasst daher ein breites Spektrum und reicht von der Identifikation von Einflussfaktoren von Entscheidungen des Top-Managements, z.B. über Innovationen, bis hin zur Analyse des Entscheidungsverhaltens von Konsumenten und wie es sich hin zum sozial Wünschenswerten ändern lässt.

Vor seiner Tätigkeit im Nürnberg Institut für Marktentscheidungen war er wissenschaftlicher Mitarbeiter am Lehrstuhl für Wirtschaftstheorie an der Friedrich-Alexander-Universität Erlangen-Nürnberg.

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., Dieckmann, A., Unfried, M., Ellgring, H., & Mortillaro, M. (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.

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.

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.

Heßler, P., Pfeiffer, J. & Unfried, M. (2023). Conversational Agents with Voice: How Social Presence influences the user behavior in microlending decisions, ECIS 2022 Research Papers. 315.

Freisinger, E., Unfried, M. & Schneider. (2022). The adoption of algorithmic decision-making agents over time: algorithm aversion as a temporary effect?, ECIS 2022 Research Papers. 82.

Eyben, F., Unfried, M., Hagerer, G., & Schuller, B. (2017). Automatic multi-lingual arousal detection from voice applied to real product testing applications. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 5155-5159.

Garbas, J. U., Ruf, T., Unfried, M., & Dieckmann, A. (2013). Towards robust real-time valence recognition from facial expressions for market research applications. Humaine Association Conference on Affective Computing and Intelligent Interaction, 570-575.

Unfried, M. (2012). Three Essays on Regulated Markets: Renewable Energies, Hospital Competition and Health Insurance. Dissertation

Zürn, M., Buder, F., & Unfried, M. (2023). Brand Purpose and Brand Success. NIM Marketing Intelligence Review, 15(1), 54-59.

Zuern, M. & Unfried, M. (2022). Markenzweck - Gutes tun und erfolgreich sein. Markenartikel 10/2022.

Hesel, N., Buder, F. & Unfried, M. (2022). The Next Frontier in Intelligent Augmentation: Human-Machine Collaboration in Strategic Marketing Decision-Making. NIM Marketing Intelligence Review,14(2) 49-53.

Stoltenberg, B, Unfried, M. & Manewitsch, V. (2022). Better Product Labels for Better Consumer Choices, NIM Marketing Intelligence Review, Vol 14, No. 1.

Unfried, M. (2022): Chatbots – Kundenbindung oder Abschreckung? In NIM INSIGHTS: Die Zukunft der Customer Journey (2022/2), 34-35. Nuremberg Institute for Market Decisions

Dieckmann, A., & Unfried, M. (2020). Thrilled or Upset: What Drives People to Share and Review Product Experiences?, NIM Marketing Intelligence Review, 12(2), 56-61.

Frank, R., Unfried, M., Schreder, R., & Dieckmann, A. (2016). Ethical Textile Consumption: Only a Question of Selflessness?. GfK Marketing Intelligence Review, 8(1), 52-58.

Dieckmann, A., & Unfried, M. (2014). Writ large on your face: Observing emotions using automatic facial analysis. GfK Marketing Intelligence Review, 6(1), 52-58.