Impact of Voice Assistants’ Conversational Style on Cognitive Driver Distraction

Le résumé fourni par la source

The integration of large language models (LLMs) in voice assistants has introduced a new level of naturalness and functionality into human-assistant interactions, also in cars.These enhancements lead to more engaging interactions that carry the potential cost of increasing cognitive driver distraction.This assumption was tested in a simulated driving study, in which 30 participants interacted with an assistant adopting an informal and a formal conversational style.As a result, the informal style tends to be more distracting, especially when discussing personal topics, which provides implications for the design of LLM-based voice assistants in automotive environments.

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