University of Bamberg
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Center for Innovative Applications of Computer Science

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  6. WG Cognition and Interaction

Cognition and Interaction

The research cluster on cognition and interaction studies natural and artificial cognitive systems and their interaction. Research is performed from two perspectives: Methods of artificial intelligence are used to develop cognitive models which can support a deeper understanding of specific characteristics of cognitive processes. Empirical studies and insights from cognitive science research, psychology and sociology can used as blueprint for the development of human-level cognitive systems. We are interested in what people expect from intelligent systems, how they interpret system reactions in companion systems such as recommender or assistant technologies, and how they use these technologies. On the other side we study how artificial cognitive systems need to be built to allow for smooth and quasi-natural interaction with humans.

Selected Research Projects

Effects of Intelligence and Gender Role Self-concept on Response Patterns and Components of the Cognitive Process in Falsification

Anti-Stotter: Assistive Anti-Stotter KI-Technologie

The overall project aims to address the significant clinical need with a science-based solution. Its starting point is a discovery by applicants Dr. Belke and Prof. Dr. Carbon. The researchers have identified a brain mechanism that could revolutionize the treatment of stuttering. Using AI-based voice conversion, the auditory perception of one's own voice is altered so that it is neurally processed as the voice of another person.  The project is funded by the Federal Ministry of Education and Research.

Context-Sensitive Qualitative Spatial Reasoning for Interpreting Vague Place Descriptions

Automated Pain Detection from Video Monitoring of Facial Expressions

DiGiKarriereNav: „Interactive Career Map: Digital Navigation through Career Opportunities“

Civic Innovation (Artificial Intelligence (AI) oriented towards the common good); Federal Ministry of Labour and Social Affairs: 2024 

Title of the project: DiGiKarriereNav: „Interactive Career Map: Digital Navigation through Career Opportunities“; PIs: J. Volmer & K. Schubert. 

You can find more information here.

LEA: Leading digital and agile in times of COVID-19

REACT-EU (Bavarian Ministry of Science & European Social Funds)

Title of the project: “LEA: Leading digital and agile in times of COVID-19”; sole applicant and PI: J. Volmer

Participating Disciplines and Researchers

Relevant Publications

  • Schubert, K., Mader, N., Welt, M. S., Hommel, B. E., Wollang, F. J. M., & Volmer, J. (2025). The Interactive Career Atlas – An AI-based web application for informed career decisions. In F. Bellas & O. Fontenla-Romero (Eds.), AI in education and educational research. AIEER 2024 (Communications in Computer and Information Science, Vol. 2519). Springer. https://doi.org/10.1007/978-3-031-93409-4_4
  • Mader, N., Schubert, K., Welt, M.S., Hommel, B.E., Wollang, J.M., & Volmer, J. (2024). The Interactive Career Atlas - an AI-based Web Application for Informed Career Decisions. Talk at the 27th European Conference on Artificial Intelligence (ECAI), Santiago de Compostela, Spain.
  • Volmer, J., Menhardt, A.-K., & Schubert, K. (2024). Digital führen: Gesundheitsförderung durch Coachings und die App „e-relate“. Personal Quarterly, 2, 24–29.
  • Volmer, J., Menhardt, A.-K., & Otto, P.E. (2023). LeA: Leading digital and agile. Poster Presentation at the VdW-Congress, Bamberg.
  • Hebel, V., Röder, E.S., Volmer, J. (2025). Development and validation of a questionnaire for measuring resources and demands at work (ReDema). Zeitschrift für Arbeits- und Organisationspsychologie, 69(4). https://doi.org/10.1026/0932-4089/a000452
  • Bianchi, R., Schonfeld, I. S., Sowden, J. F., Cavalcante, D. C., Queirós, C., Hebel, V. M., Volmer, J., Fiorilli, C., Angelini, G., Golonka, K., Manzano-García, G., Montañés-Muro, P., Jansson-Fröjmark, M., & De Beer, L. T. (2024). Measurement invariance of the Occupational Depression Inventory: A study of 12,589 participants across 14 countries. Work & Stress, 38(4), 420–436. https://doi.org/10.1080/02678373.2024.2364594
  • Volmer, J., & Hebel, V. (2022). Gesunde Arbeitsgestaltung per App: Moderne, digitale Tools für Unternehmen [Healthy Labour Organisation with the Help of an App: Modern, digital tools for businesses]. uni.vers Forschung, 32–35.
  • Hebel, V., Volmer, J., & Roeder, E.S. (2024). PsyGesA – ein Online-Toolbox zur Verbesserung psychischer Gesundheit im Arbeitskontext [PsyGesA – an online toolbox to foster psychological health at work].  Poster at the 16th European Occupational Health Psychology (EAOHP) Conference, Granada, Spain.
  • Hebel, V., Volmer, J., & Roeder, E.S. (2024). PsyGesA – ein Online-Toolbox zur Verbesserung psychischer Gesundheit im Arbeitskontext [PsyGesA – an online toolbox to foster psychological health at work].  Talk at the 53rd German Psychological Association (DGPs) Congress, Vienna, Austria.
  • Hebel, V., Volmer, J., & Roeder, E. (2023). Development and validation of a scale for measuring psychological well-being in the work context (PsyGesA). Paper presented at the 21st conference of the European Association for Work & Organizational Psychology (EAWOP), Katowice, Poland.
  • Volmer, J., & Hebel. V. (2023). PsyGesA: Psychological Health at Work. Poster Presentation at the VdW-Congress, Bamberg.
  • Khozaei, F., Carbon, C. C., Al-Abed, N., Hassan, A. S., Nikpour, M., Ul Islam, Q. & Tadayon, Z. (2025, in press). Understanding audience engagement in AIgenerated biophilic architecture: a multi-criteria analysis using the ELECTRE model inspired by traditional Omani design. Journal of Asian Architecture and Building Engineering.
  • Knoblach, J., Vogl, L., Wehnert, C., Carbon, C.-C., Franz, J., & Schmid, U. (2025, in press). The SME AI Experience Center: Overcoming AI Adoption Barriers for SMEs in Industrial Production. KI—Künstliche Intelligenz.
  • Khozaei, F., Carbon, C. C., Ul Islam, Q., & Khozaei Ravari, Z. (2025, in press). I am a woman, I am a migrant—are you there for me? Exploring the perceived social support (PPS)of ChatGPT among female migrants in the Gulf countries. The Open Psychology Journal.
  • Witt, J., Dumančić, S., Guns, T., & Carbon, C. C. (2025). A Divide, Align & Conquer Strategy For Program Synthesis. Journal of Artificial Intelligence Research, 82, 1961-1997.
  • Münder, M., Vitale, R., & Carbon, C. C. (2025, in press). Back to the Future: Innovativeness in Sound Design for Electrified Vehicles. I-Perception.
  • Leistner, M., Hommel, B. E., Wendt, L. P., & Leising, D. (2025). Properties of Person Descriptors in the Natural German Language: A Preregistered Replication and Extension. Personality Science, 6. https://doi.org/10.1177/27000710251391608
  • Leistner, M. & Schütz, A. (2025). Do Classic Thin-Slice Effects Generalize to AI-Generated Faces? Evidence from Intelligence Perceptions. Submitted Manuscript.
  • Tagscherer, F., & Carbon, C. C. (2024). Digital servitization and leadership: A holistic view on required leadership traits and skills. Journal of Entrepreneurship, Management and Innovation, 20(4), 104-129.
  • Schramm, L., & Carbon, C. C. (2024). Critical success factors for creating sustainable digital health applications: A systematic review of the German case. Digital Health, 10, 1-14.
  • Breitschaft, S., Pastukhov, & Carbon, C. C. (2021). Where’s My Button? Evaluating the User Experience of Surface Haptics in Featureless Automotive User Interfaces.Transactions on Haptics.
  • Breitschaft, S., & Carbon, C. C. (2021). Function Follows Form: Using the Aesthetic Association Principle to enhance haptic interface design. Frontiers in Psychology—Human Media Interaction, 12(2619), 1-23.
  • Breitschaft, S., Clarke, S., & Carbon, C. C. (2019). A theoretical framework of haptic processing in automotive user interfaces and its implications on design and engineering. Frontiers in Psychology, 10(1470), 1-18.
  • Gerrits, L., Wirtz, M. & Hemesath, S. (2019). Der elektronische Personalausweis im internationalen Vergleich. In: Klenk, T. Nullmeier, F. & Wewer, G. (eds). Handbuch Digitalisierung in Staat und Verwaltung. Berlin: Springer.
  • Carbon, C. C. (2019). Psychology of Design. Design Science, 5(e26), 1-18.
  • Carbon, C. C., & Gebauer, F. (2017). The Safe-Range-Inventory (SRI): An assistance tool for optimizing the charging infrastructure for electric vehicles. Transportation Research Part F: Psychology and Behaviour, 47, 101-113.
  • Köppe, C., Held, M. J., & Schütz, A. (2019). Improving emotion perception and emotion regulation through a web-based emotional intelligence training (WEIT) program for future leaders. International Journal of Emotional Education.
  • Leder, J., Horlitz, T., Puschmann, P., Wittstock, V., & Schütz, A. (2018). Comparing immersive virtual reality and powerpoint as methods for delivering safety training. Safety Science, 3 (July), 0–1.
  • Münder, M., & Carbon, C. C. (2022). Howl, whirr, and whistle: The perception of electric powertrain noise and its importance for perceived quality in electrified vehicles.Applied Acoustics, 185.
  • Röhner, J., Thoss, P., & Uziel, L. (2023). Can people with higher versus lower scores on impression management or self-monitoring be identified through different traces under faking? Educational and Psychological Measurement.
  • Röhner, J., Thoss, P. J., & Schütz, A. (2022). Lying on the dissection table: Anatomizing faked responses. Behavior Research Methods, 54, 2878–2904. https://doi.org/10.3758/s13428-021-01770-8
  • Stieg, J., Marks, P., Gerrits, L. (2019). UN-CODE: Software for Structuring and Visualizing Collective Decision-Making Based on Qualitative Data. Journal of Open Research Software, 7(1), p.25. DOI: doi.org/10.5334/jors.246
  • Wolter, D.. & Özçep, Ö. L. (2021). Wissen über Raum und Zeit, In Handbuch für Künstliche Intelligenz, editiert von Görz, G., Schmid, U. & Braun, T.