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View all- Filimonov I(2022)AUTOMATION OF A NETWORK OF PROBLEMS USING PROGRAMMING TOOLSVestnik komp'iuternykh i informatsionnykh tekhnologii10.14489/vkit.2022.11.pp.052-065(52-65)Online publication date: Nov-2022
Cognitive Modelling: From GOMS to Deep Reinforcement Learning
Article No.: 121, Pages 1 - 3
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 modelling approaches powered by machine learning methods, in particular deep learning, reinforcement learning (RL), and deep RL. The course is built around hands-on Python programming using notebooks.
References
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Xiuli Chen, Aditya Acharya, Antti Oulasvirta, and Andrew Howes. 2021. An adaptive model of gaze-based selection. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. 1–11.
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Jussi PP Jokinen, Aditya Acharya, Mohammad Uzair, Xinhui Jiang, and Antti Oulasvirta. 2021. Touchscreen typing as optimal supervisory control. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. 1–14.
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- Cognitive Modelling: From GOMS to Deep Reinforcement Learning
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Published In
April 2022
3066 pages
ISBN:9781450391566
DOI:10.1145/3491101
Copyright © 2022 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 28 April 2022
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- Course
- Research
- Refereed limited
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CHI '22
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CHI '22: CHI Conference on Human Factors in Computing Systems
April 29 - May 5, 2022
LA, New Orleans, USA
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Overall Acceptance Rate 6,164 of 23,696 submissions, 26%
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CHI 2025
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- sigchi
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Cited By
View all- Filimonov I(2022)AUTOMATION OF A NETWORK OF PROBLEMS USING PROGRAMMING TOOLSVestnik komp'iuternykh i informatsionnykh tekhnologii10.14489/vkit.2022.11.pp.052-065(52-65)Online publication date: Nov-2022
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