HCI2001 - Computational Interaction Design
Undergraduate course, DLSU CCS ST, 2024
HCI2001 - Computational Interaction Design
Computational Interaction Design provides students with advanced concepts on the use of algorithms and mathematical models to explain and improve the design of human-computer interaction. The course commences with an overview of non-automated Traditional HCI approaches, transitioning to Computational HCI. Here, design processes are enriched through modeling techniques, data collection, and robust algorithms. Students gain proficiency in explicit mathematical models of user-system behavior, updating them with observed data. Key topics encompass modeling human input, cognitive modeling, optimization, and Human-In-The-Loop approaches to computational design. Participants learn to formulate and solve design and interaction problems through robust data-driven analysis, simulation, and optimization.
General Documents
- AY 2023-2024 T2 Syllabus
Slides and Course Materials (will be populated along the weeks)
Lectures
- 00a - Course Introduction
- 00b - Introduction to Computational Interaction Design
- 01a - Input Fundamentals
- 01c - Input and Pointing Design Space
- 01d - Gestures and the Motor System
- 02a - Cognition, Attention and Memory
- 02b - Bayesian HCI
- 02c - Machine Learning in HCI
Lab Works
- Week 01 - Designing the Ultimate UI
- Week 02 - Deploying Fitts Study
- Week 03 - Minority Report - Transfer Functions
- Week 04 - No work - Async for COIN Project Proposal
- Week 05 - LSTM
- Week 06 - No work - Async for COIN Project Work
- Week 07 - Presentations of COIN Project checkpoints
- Week 08 - Field Work