Proposes a low-code/no-code pipeline for modeling and generating personalized conversational agents, implemented on an open-source platform with a pilot usability study.
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US census data analysis shows parenthood and marriage create distinct mobility costs and amenity access, classifying cities by suitability for singles, married couples, or parents.
This paper discusses design challenges and evaluation difficulties for AI-powered AAC interfaces, proposing more robust methods that incorporate users' multifaceted and intersectional needs.