Plausible but incorrect AI responses create design challenges and user distrust. Discover evidence-based UI patterns to help users identify fabrications.
Study your users’ real-life behaviors and make data-informed design decisions
Page Laubheimer
Guest Speaker at NN/G, Product Research & Strategy
Page Laubheimer is a former NN/G employee who worked on research, teaching, leadership, and design thought leadership. His expertise focused on web applications, AI, and projects in complex domains. His many research findings and recommendations were also informed by his background in library and information science, and his work often involved information architecture, navigation design, taxonomy construction, and ontology management.
Courses taught by Page
Courses taught by Page
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Analytics and User Experience
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Application Design for Web and Desktop
Components, design patterns, workflows, and ways of interacting with complex data
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Designing AI Experiences
Design innovative, trusted, and useful AI products and features
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Designing Complex Apps for Specialized Domains
Create and evaluate applications for advanced decision making, complicated workflows, and complex domains
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Information Architecture
Organize and structure information to improve findability and discoverability
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Measuring UX and ROI
Use metrics from quantitative research to demonstrate value
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Survey Design and Execution
Use surveys to drive and evaluate UX design
Publications
Publications
More about Page
More about Page
Experience
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Newfangled Web Developers
Project Manager -
National Institute of Environmental Health Sciences
Library Reference Graduate Assistant
Education
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M.S. in Library Science
University of North Carolina at Chapel Hill -
B.A. in Humanities
New College of Florida