Advanced Human-Computer Interaction
Learn to design user interfaces by understanding mental models, task analysis, and the societal impact of interface design.
Learn to design user interfaces by understanding mental models, task analysis, and the societal impact of interface design.
This advanced course explores the cognitive and contextual aspects of human-computer interaction. Students learn about mental models, representations, and how users interact with interfaces. The curriculum covers task analysis, GOMS models, and distributed cognition to help designers create more intuitive interfaces. Special attention is given to understanding user behavior in context through situated action and activity theory. The course also examines how interface design both influences and is influenced by society, preparing students to create more effective and responsible user experiences.
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What you'll learn
Design interfaces that align with users mental models
Apply task analysis methods for understanding user behavior
Implement GOMS models to articulate user interactions
Analyze distributed cognition in human-computer systems
Design interfaces considering societal context and impact
Address user errors through improved interface design
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, Exams
Access on Mobile, Tablet, Desktop
Limited Access access
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Module Description
This comprehensive course explores advanced concepts in human-computer interaction, focusing on cognitive processes, contextual design, and cultural implications. Students learn to understand and utilize mental models, conduct task analysis, and design interfaces that consider both individual user needs and broader societal impacts. The curriculum emphasizes practical application of theoretical concepts through examination of real-world interfaces and design challenges.
Fee Structure
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Instructor
Online Education Pioneer Advances Large-Scale Learning Through AI and Innovation
David Joyner is a distinguished leader in online education who serves as Executive Director of Online Education & OMSCS at Georgia Tech's College of Computing. With a Ph.D. in human-centered computing, he has made significant contributions to educational technology and AI-enhanced learning. His research focuses on leveraging artificial intelligence for student support, building vibrant online communities in large classes, and developing sustainable interactive learning materials. As an educator, he teaches five online courses reaching over 3,000 students per semester, while his published work includes over 50 papers and three books on online learning and computer science education. His excellence in online teaching has been recognized through multiple awards, including the 2022 College of Computing Outstanding Faculty Leadership Award and the 2019 USG Regents' Teaching Excellence Award. As chair of the ACM Learning @ Scale conference steering committee, he continues to shape the future of technology-mediated education at scale
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Frequently asked questions
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