Computational interaction with Bayesian methods

© 2019 Copyright held by the owner/author(s). ACM This course introduces computational methods in human-computer interaction. Computational interaction methods use computational thinking-abstraction, automation, and analysis-to explain and enhance interaction. This course introduces the theory of practice of computational interaction by teaching Bayesian methods for interaction across four wide areas of interest when designing computationally-driven user interfaces: decoding, adaptation, learning and optimization. The lectures center on hands-on Python programming interleaved with theory and practical examples grounded in problems of wide interest in human-computer interaction