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Highlighted publications:

  1. Personalizing persuasive technologies: Explicit and implicit personalization using persuasion profiles
    International Journal of Human-Computer Studies, 2015.
    https://doi.org/10.1016/j.ijhcs.2014.11.006
  2. Adaptive persuasive systems: a study of tailored persuasive text messages to reduce snacking
    ACM Transactions on Interactive Intelligent Systems (TiiS), 2012.
    https://doi.org/10.1145/2209310.2209313
  3. Powerful and consistent analysis of Likert-type rating scales
    Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 2010.
    https://doi.org/10.1145/1753326.1753548
  4. Can you be persuaded? Individual differences in susceptibility to persuasion
    Human-Computer Interaction – INTERACT 2009, 2009.
    https://doi.org/10.1007/978-3-642-03655-2_12
  5. An introduction to modern statistical methods in HCI
    Modern Statistical Methods for HCI, 2016.
    https://doi.org/10.1007/978-3-319-26633-6_1
  6. Heterogeneity in the effects of online persuasion
    Journal of Interactive Marketing, 2012.
    https://doi.org/10.1016/j.intmar.2012.04.002
  7. Selecting effective means to any end: Futures and ethics of persuasion profiling
    International Conference on Persuasive Technology, 2010.
    https://doi.org/10.1007/978-3-642-13226-1_9
  8. Individual differences in persuadability in the health promotion domain
    International Conference on Persuasive Technology, 2010.
    https://doi.org/10.1007/978-3-642-13226-1_10
  9. Advancing e-commerce personalization: Process framework and case study
    International Journal of Electronic Commerce, 2015.
    https://doi.org/10.1080/10864415.2015.1000216
  10. Persuasion in ambient intelligence
    Journal of Ambient Intelligence and Smart Environments, 2010.
    https://doi.org/10.3233/AIS-2010-0075
  11. Bayesian multilevel multivariate logistic regression for superiority decision-making under observable treatment heterogeneity
    BMC Medical Research Methodology, 2023.
    https://doi.org/10.1186/s12874-023-01914-7
  12. Analyzing data streams for social scientists
    In Handbook of Computational Social Science, 2022.
    https://doi.org/10.4324/9781003027749-7
  13. Decision-making with multiple correlated binary outcomes in clinical trials
    Statistical Methods in Medical Research, 2020.
    https://doi.org/10.1177/0962280220932962
  14. Provably efficient exploration in constrained reinforcement learning: Posterior sampling is all you need
    arXiv preprint arXiv:2301.12345, 2023.
    https://arxiv.org/abs/2301.12345
  15. Statistics for Data Scientists: An Introduction to Probability, Statistics, and Data Analysis
    Springer, 2021.
    https://doi.org/10.1007/978-3-030-10531-0