Name
Abstract | ||
|---|---|---|
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 optimization and probabilistic inference as principled methods. Lectures center on hands-on Python programming, interleaving theory and practical examples.
|
Year | Venue | Field |
|---|---|---|
2018 | CHI Extended Abstracts | Probabilistic inference,Abstraction,Inference,Computer science,Computational thinking,Automation,Human–computer interaction,Artificial intelligence,Interaction theory,Interleaving,Python (programming language) |
DocType | ISBN | Citations |
Conference | 978-1-4503-5621-3 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| John Williamson | 1 | 209 | 20.23 |
| Antti Oulasvirta | 2 | 3131 | 217.78 |
| Otmar Hilliges | 3 | 3075 | 140.20 |
| Per Ola Kristensson | 4 | 1317 | 91.21 |