Mark Steyvers
Scholar

Mark Steyvers

Google Scholar ID: szUb_isAAAAJ
University of California, Irvine
cognitive sciencemachine learninglearninghuman AI collaboration
Citations & Impact
All-time
Citations
11,732
 
H-index
46
 
i10-index
108
 
Publications
20
 
Co-authors
143
list available
Contact
Resume (English only)
Academic Achievements
  • Published multiple papers on topics including AI-assisted decision-making, modeling human-AI complementarity, and analyzing large-scale cognitive training data. Some representative works have been featured in journals such as Perspectives on Psychological Science and Nature Machine Intelligence.
Research Experience
  • Research experience includes: exploring how humans can collaborate with AI/machine learning models to enhance decision-making; developing new AI capabilities such as mental models and metacognition; using large-scale datasets from platforms like Lumosity to develop and test theories of learning, memory, and cognition.
Background
  • Research Interests: High-level cognition, human-AI collaboration in decision-making, application of large-scale datasets to theories of learning and memory. Professional Field: Cognitive Sciences. Brief Introduction: Through empirical studies and computational modeling, aims to understand how people self-reflect, learn, and make decisions, with insights applied to AI research.