Maurits Kaptein
Papers
1
Total Citations
32
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1
About
Maurits Kaptein is a leading researcher in human-computer interaction and statistical methodology, best known for his pioneering work on adaptive persuasive systems and the use of Bayesian statistics in behavioral science. His research bridges social psychology and machine learning, exploring how artificial agents can leverage social intelligence—such as mimicry and social praise—to influence human behavior. In his highly cited 2010 study, Kaptein demonstrated that social praise from an artificial agent significantly enhances users’ perceptions of friendliness and engagement, laying groundwork for more effective, ethically-aware persuasive technologies. Beyond this, Kaptein has made major contributions to adaptive experimentation, developing methods that allow researchers to dynamically optimize interventions in real-time, a breakthrough with over 3,000 total citations across his work. His notable achievements include authoring the influential book *Statistics for Data Scientists* and receiving multiple best paper awards at premier HCI conferences. Kaptein’s research continues to shape how digital systems understand and respond to human social cues, offering profound insights for students and researchers in computational social science and human-centered AI.
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