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For whom should large-scale repositories of knowledge, e.g., Wikipedia, phrase their content: article subject-matter experts, laypeople, or students? Similarly, what about technical documentation? Digital textbooks?

What if content authors could provide multiple intended audiences – differing with respect to their reading levels, language fluencies, and background knowledge – with multiple interrelated variations of Web resources?

What if content authors could provide software with styled content outlines and this software would formulate prompts for and interactions with artificial-intelligence systems to generate natural-language content for multiple intended audiences?

What if end-users could dynamically adjust their fine-grained content-related preferences by adjusting one or more “adaptation parameters” to maximize the subjective readability and comprehensibility of Web resources for themselves?

The Adaptation and Personalization Community Group intends to explore and to discuss these and many more related questions!

Technical topics of interest to our group include artificial intelligence, adaptive hypermedia, adaptive explanation, adaptive learning, adaptive instructional systems, and user modeling.

To browse and participate in our discussion area, please visit here.