Natural Language Query

An interaction paradigm where users pose questions or issue commands in everyday language rather than using structured search syntax, predefined filters, or navigation controls. In accessibility contexts, natural language querying is particularly valuable for screen reader users because it allows them to efficiently extract specific information from large content sets without linearly navigating through everything. For example, a blind user browsing a restaurant menu can ask "what are the gluten-free appetizers under ten dollars" instead of listening to every item. Natural language queries are typically processed by large language models that interpret the user's intent and generate relevant responses from a knowledge base. Key challenges include handling ambiguous queries, voice transcription errors, and ensuring responses are grounded in actual content rather than model hallucinations.