LLM navigation agent

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Revision as of 06:26, 6 October 2023 by Mikkeli (talk | contribs) (Created page with "The 2010 paper [https://dl.acm.org/doi/abs/10.1145/1753326.1753516 Where should I turn: moving from individual to collaborative navigation strategies to inform the interaction design of future navigation systems] states an interesting finding that the navigation in driving between a driver and a co-driver is largely '''collaborative, interactive, and conversational''', which is reasonable, acceptable and conforms to daily experiences. In contrast, most software navigat...")
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The 2010 paper Where should I turn: moving from individual to collaborative navigation strategies to inform the interaction design of future navigation systems states an interesting finding that the navigation in driving between a driver and a co-driver is largely collaborative, interactive, and conversational, which is reasonable, acceptable and conforms to daily experiences.

In contrast, most software navigators, be it a mobile map application or onboard navigator / infotainment system, are usually lacking interactions with the driver. They are good at route planning and giving instructions, but have very poor, if any, capability to respond to an arbitrary inquiry popped by the driver.

With powerful Large language models (LLMs) emerging and becoming globally accessible, as well as the continued progress in ASR and TTS technologies, it seems like the possibility of software navigator having vocal conversations with the driver is growing. This is a project aimed to create such a navigator agent (I know I won't finish it, though) or at least yield some valuable (to whom?) results.