David Hoppe

David Hoppe

My current research focus is on the temporal dynamics of human eye movements. Particularly, I am interested in how humans perceive and learn temporal regularities in the environment and adapt their eye movement behavior accordingly in order to optimize the outcome of their actions. I use behavioral experiments with human subjects as well as computational modelling involving machine learning, specifically Bayesian and reinforcement learning models to describe and understand the characteristics of human visual behavior.

Publications

  • Hoppe, D., Helfmann, S., & Rothkopf, C. A. (2018). Humans quickly learn to blink strategically in response to environmental task demands. Proceedings of the National Academy of Sciences, 201714220.
  • Hoppe, D., & Rothkopf, C. A. (2017). Optimal planning of eye movements. bioRxiv, 240010.
  • Hoppe, D., & Rothkopf, C. A. (2016). Learning rational temporal eye movement strategies. Proceedings of the National Academy of Sciences, 201601305.
  • Nazemi, K., Burkhardt, D., Hoppe, D., Nazemi, M., & Kohlhammer, J. (2015). Web-based evaluation of information visualization. Procedia Manufacturing, 3, 5527-5534.
  • Kampmann, E., Diana, T., Kanitz, M., Hoppe, D., & Kahaly, G. J. (2015). Thyroid stimulating but not blocking autoantibodies are highly prevalent in severe and active thyroid-associated orbitopathy: a prospective study. International journal of endocrinology, 2015.

Awards

  • GK Best Paper Award (2016-2018) for the best publication in cognitive science by a young investigator (awarded by the Gesellschaft für Kognitionswissenschaft e.V.)

Conference presentations

  • Hoppe, D., Helfmann, S., & Rothkopf, C.A.: 'Learning when to blink: Environmental statistics guide blinking behavior.' Poster at the annual meeting of the Vision Science Society, May 19-24, 2017, St. Pete Beach, Florida, USA.
  • Zhao, H., Hoppe, D. & Rothkopf, C.A.: 'Eye movement and steering control in locomotor interception.' Poster at the annual meeting of the Vision Science Society, May 13-18, 2016, St. Pete Beach, Florida, USA.
  • Hoppe, D., & Rothkopf, C.A.: 'Modelling the dynamics of visual attention under uncertainty.' Talk at the annual meeting of the Vision Science Society, May 15-20, 2015, St. Pete Beach, Florida, USA.
  • Umbach, N., Naumann, K., Hoppe, D., Brandt, H., Kelava, A., & Schmitz, B. (2015). Introducing nlsem: An R Package for Estimating Nonlinear Structural Equation Mixture Models. Talk at SEM meeting 2015, February 26-27, Berlin, Germany

Software

  • Umbach, N., Naumann, K., Hoppe, D., Brandt, H., Kelava, A., Schmitz, B., & Umbach, M. N. (2017). Package ‘nlsem’.

Teaching

  • WS 2017-2018 Multivariate Methods (Exercise)
  • SS 2017 General Psychology (Exercise) and Cognitive Psychology (Exercise)
  • WS 2016-2017 Latent variable models (Exercise and Seminar)
  • SS 2016 General Psychology (Exercise) and Cognitive Psychology (Exercise)
  • WS 2015-2016 Latent variable models (Exercise and Seminar)
  • SS 2015 General Psychology (Exercise)
  • WS 2014-2015 Latent variable models (Exercise and Seminar)
  • SS 2014 General Psychology (Exercise)
  • WS 2013-2014 Latent variable models (Exercise and Seminar)

Professional Experience

since 2014 PhD student at the Psychology of Information Processing lab
2013 – 2014 Student Researcher
Technical University Darmstadt, Institute of Psychology
Psychological and Psychophysiological Methods
2012 – 2014 Student Researcher
Fraunhofer Institute for Computer Graphics Research IGD

Education

2012 – 2014 M.Sc. Computer Science
Technical University Darmstadt, Germany
2012 – 2014 M.Sc. Psychology
Technical University Darmstadt, Germany
2008 – 2012 B.Sc. Psychology
University of Innsbruck, Austria
2009 – 2012 B.Sc. Computer Science
University of Innsbruck, Austria