Conversational AIConversational User ExperienceLLMSpeech Interfaces
This session explores the unique challenges of designing speech interfaces for in-vehicle use, focusing on drivers’ specific cognitive needs compared to other users. It examines key use cases, along with the syntactic and semantic strategies required to create effective voice interactions in cars. The session also looks ahead to the growing role of conversational AI, especially the shift from rule-based systems to LLM-driven intent recognition. Additionally, it provides practical insights into in-car assistants, adaptive outputs, multi-intent handling, and the complexities of vehicle-specific prompts.
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Hard problems solved on stage. Great conversations and energy off stage.