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Unlike static and rigid user interfaces, generative and malleable user interfaces offer the potential to respond to diverse users’ goals and tasks. However, current approaches primarily rely on generating code, making it difficult for end-users to iteratively tailor the generated interface to their evolving needs. We propose employing task-driven... See more

One way I visualize this relationship between the form of traditional UI and the function of AI is through the metaphor of a ‘workbench’. Just as a carpenter's workbench is familiar and purpose-built, providing an organized environment for tools and materials, a well-designed interface can create productive context for AI interactions. Rather than... See more

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The Foundation Interface Lab, led by Dr. Haijun Xia and Dr. Jim Hollan, aims to develop dynamic, malleable, and adaptive interfaces that blend human cognition with intelligent computation, laying the foundation for future information environments that foster productive and convivial information activities.

Beyond prediction, we should strive to build AI systems that support human decision-making, understanding, and model-building.

So, what’s the bottom line? Let’s summarize:

— Strategic messaging isn’t just about words, it’s about creating clarity and purpose for your customers, team, and stakeholders.

— The networked, fast-paced culture of the 21st century needs companies that can take complex subjects and turn them into cogent, compelling, and inspiring human narratives.

—... See more

Perhaps this is what the early pioneers of computing felt, on the cusp of the 1980s. We had oriented entire research labs and organizations around bringing those punch cards down to the computer lab every day. We had achieved a lot with the powerful mainframes that crunched numbers and cracked codes. But people could not yet fathom the fundamental... See more