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Daniel Brand

Note that Daniel Brand can now be reached at TU Chemnitz.

 

Research interests

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

Projects

  • FADEp - Intentionales Vergessen und Änderungen in Arbeitsprozessen: The project is part of the DFG Schwerpunktprogramm "Intentional Forgetting in Organisationen" (SPP1921) founded by the Deutsche Forschungsgemeinschaft (DFG)
  • CCOBRA (Cognitive COmputation for Behavioral Reasoning Analysis) Framework: Online predictive modelling of human reasoning. [GitHub] [website]

Teaching

Publications

  • Brand, D., Riesterer, N., and Ragni, M. (in press). Unifying models for belief and syllogistic reasoning. In Proceedings of the 43th Annual Meeting of the Cognitive Science Society, eds. T. Fitch, C. Lamm, H. Leder, and K. T. mar Raible
  • Brand, D., Riesterer, N., & Ragni, M. (in press). Model-Based Explanation of Feedback Effects in Syllogistic Reasoning. In Proceedings of the 19th International Conference on Cognitive Modeling. [materials]
  • Riesterer, N., Brand, D., & Ragni, M. (2020). Feedback Influences Syllogistic Strategy: An Analysis based on Joint Nonnegative Matrix Factorization. In Proceedings of the 18th International Conference on Cognitive Modeling. [pdf][code]
  • Brand, D., Riesterer, N., & Ragni, M. (2020). Extending TransSet: An Individualized Model for Human Syllogistic Reasoning. In Proceedings of the 18th International Conference on Cognitive Modeling. [pdf][code]
  • Riesterer, N., Brand, D., & Ragni, M. (2020). Do Models Capture Individuals? Evaluating Parameterized Models for Syllogistic Reasoning. In S. Denison, M. Mack, Y. Xu, & B. C. Armstrong (Eds.), Proceedings of the 42nd Annual Conference of the Cognitive Science Society (pp. 3377-3383). Cognitive Science Society. [pdf][code]
  • Brand, D., Riesterer, N., Dames, H., & Ragni, M. (2020). Analyzing the Differences in Human Reasoning via Joint Nonnegative Matrix Factorization. In S. Denison, M. Mack, Y. Xu, & B. C. Armstrong (Eds.), Proceedings of the 42nd Annual Conference of the Cognitive Science Society (pp. 3254-3260). Cognitive Science Society. [pdf][code]
  • Riesterer, N., Brand, D., & Ragni, M. (2020) Predictive Modeling of Individual Human Cognition: Upper Bounds and a New Perspective on Performance. Topics in Cognitive Science. doi: 10.1111/tops.12501
  • Riesterer, N., Brand, D., Dames, H., & Ragni, M. (2020). Modeling Human Syllogistic Reasoning: The Role of "No Valid Conclusion". Topics in Cognitive Science, 12(1), 446-459. doi:  10.1111/tops.12487
  • 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][slides][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: 10.18420/muc2018-mci-0200