O1 Abstract
Cognitive Modeling : From GOMS to Deep Reinforcement Learning (2024)
Jokinen, J. P.P., Oulasvirta, A., & Howes, A. (2024). Cognitive Modeling : From GOMS to Deep Reinforcement Learning. In F. F. Mueller, P. Kyburz, J. R. Williamson, & C. Sas (Eds.), CHI EA '24 : Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems (Article 594). ACM. https://doi.org/10.1145/3613905.3636278
JYU authors or editors
Publication details
All authors or editors: Jokinen, Jussi P. P.; Oulasvirta, Antti; Howes, Andrew
Parent publication: CHI EA '24 : Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems
Parent publication editors: Mueller, Florian Floyd; Kyburz, Penny; Williamson, Julie R.; Sas, Corina
Conference:
- Extended abstracts on human factors in computing systems
Place and date of conference: Honolulu, USA, 11.-16.5.2024
eISBN: 979-8-4007-0331-7
Publication year: 2024
Publication date: 11/05/2024
Article number: 594
Publisher: ACM
Place of Publication: New York
Publication country: United States
Publication language: English
DOI: https://doi.org/10.1145/3613905.3636278
Research data link: https://github.com/jussippjokinen/CogMod-Tutorial
Publication open access: Not open
Publication channel open access:
Additional information: Extended Abstracts: Course
Abstract
This course introduces computational cognitive modeling for researchers and practitioners in the field of HCI. Cognitive models use computer programs to model how users perceive, think, and act in human–computer interaction. They offer a powerful approach for understanding interactive tasks and improving user interfaces. This course starts with a review of classic architecture based models such as GOMS and ACT-R. It then rapidly progresses to introducing modern modeling approaches powered by machine learning methods, in particular deep reinforcement learning. The course is built around hands-on Python programming using notebooks.
Keywords: machine learning; reinforcement learning; human-computer interaction; user interfaces; modelling (representation); cognition
Free keywords: cognitive modeling; cognitive architectures; reinforcement learning; computational rationality; cooperative intelligence; user interface optimization
Contributing organizations
Ministry reporting: Won't be reported
