This is the website for the CHI 2019 Course on Computational Interaction with Bayesian Methods, held in conjunction with CHI 2019: the 37th ACM Conference on Human Factors in Computing Systems. CHI 2019 will be held in Glasgow, United Kingdom 4-9 May, 2019. This exciting CHI course will be held on Wednesday May 8, 2019. See here for official CHI 2019 information about this course.
This CHI course is an excellent opportunity for a PhD student, practitioner or researcher to learn about how to apply Bayesian methods to solve technical HCI problems in a fun, practical and accessible manner. Complete code will be provided via interactive learning exercises using Python, minimizing friction in transitioning from theory to practice.
This CHI 2019 course is an evolution of two previously held successful CHI courses on computational interaction. This year we are specifically focusing on Bayesian methods for computational interaction.
The course will focus on optimization and inference and on applying these techniques to concrete HCI problems. The course will specifically look at Bayesian methods for solving decoding, adaptation, learning and optimization problems in HCI. For more information, please see our course paper, which includes details of the materials taught and the relative timing.
Instructors
The following faculty members will teach the course:
- Nikola Banovic, University of Michigan, USA
- Per Ola Kristensson, University of Cambridge, UK
- Antti Oulasvirta, Aalto University, Finland
- John Williamson, University of Glasgow, UK
Content
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 and 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.
Course Paper
Further information about the precise content in this course is available in the CHI course proposal paper (
).