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Daniel Brand

Daniel Brand

Address:

Center for Cognitive Science

Hebelstraße 10

D-79104 Freiburg, Germany

Room:

02-012

Email: danielbrand1@gmx.de
Phone:
Fax:
Consultation: on request

 

Research interests

  • Predictive Modelling of Human Reasoning
  • Information Systems
  • Modelling
  • Web experiments
  • Human-computer interaction

Projects

  •  CCOBRA (Cognitive COmputation for Behavioral Reasoning Analysis) Framework: Online predictive modelling of human reasoning. [github][website]

Publications

  • Truong, N. H., Brand, D., von Stülpnagel, R. (2019). How usable is Galaxy? A usability evaluation of Galaxy [version 1; not peer reviewed]. F1000Research, 8:1035 (poster). doi: 10.7490/f1000research.1116995.1
  • Brand, D., Riesterer, N., & Ragni, M. (2019). On the Matter of Aggregate Models for Syllogistic Reasoning: A Transitive Set-Based Account for Predicting the Population. In Stewart T. (Ed.), Proceedings of the 17th International Conference on Cognitive Modeling. [pdf][code]
  • Riesterer, N., Brand, D., & Ragni, M. (2019). Predictive Modeling of Individual Human Cognition: Upper Bounds and a New Perspective on Performance. In Stewart T. (Ed.), Proceedings of the 17th International Conference on Cognitive Modeling. [pdf][slides][code]
  • Riesterer, N., Brand, D., Dames, H., & Ragni, M. (2019). Modeling Human Syllogistic Reasoning: The Role of "No Valid Conclusion", In Goel, A., Seifert, C., & Freska, C. (Eds.), Proceedings of the 41st Annual Conference of the Cognitive Science Society. [code]
  • Ragni, M., Dames, H., Brand, D., & Riesterer, N. (2019). When Does a Reasoner Respond: Nothing Follows?, In Goel, A., Seifert, C., & Freska, C. (Eds.), Proceedings of the 41st Annual Conference of the Cognitive Science Society.
  • Riesterer N., Brand D., Ragni M. (2018) The Predictive Power of Heuristic Portfolios in Human Syllogistic Reasoning. In: Trollmann F., Turhan AY. (Eds.) KI 2018: Advances in Artificial Intelligence. KI 2018. Lecture Notes in Computer Science, vol 11117. Springer, Cham. [poster][code]
  • Riesterer, N., Brand, D., & Ragni, M. (2018) A Machine Learning Approach for Syllogistic Reasoning. In C. Rothkopf et al. (Eds.), Proceedings of the 14th Biannual Conference of the German Society for Cognitive Science (p. 54). [poster]
  • Truong, N. H., Brand, D., Ewert, C., Wächter, L., & von Stülpnagel, R. (2018). Developers' Needs and Severity Conceptions of Usability Problems. In Dachselt R., Weber G. (Eds.) Mensch und Computer 2018 – Tagungsband, 13-22. Dresden, Germany, September 2nd-5th 2018. doi: https://doi.org/10.18420/muc2018-mci-0200