lightbulbPractical problemIn-Vehicle and Autonomous Driving Voice Assistant Contexts
Fixed-format voice assistants while driving cannot adapt to changes in user cognitive load, reducing safety.LLM and Natural Language Interaction / In-Vehicle and Autonomous Driving Voice Assistant Contexts
Fixed-format voice assistants while driving cannot adapt to changes in user cognitive load, reducing safety.
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lightbulbPractical problemIn-Vehicle and Autonomous Driving Voice Assistant Contexts
In-vehicle voice assistant prompt design often ignores trade-offs between safety and user experience during driving.CUI '23Secure, Comfortable or Functional: Exploring Domain-Sensitive Prompt Design for In-Car Voice Assistants
lightbulbPractical problemIn-Vehicle and Autonomous Driving Voice Assistant Contexts
Drivers may have low trust and acceptance of autonomous driving voice assistants, affecting driving safety.CUI '22Effects of Wording and Gendered Voices on Acceptability of Voice Assistants in Future Autonomous Vehicles
lightbulbPractical problemIn-Vehicle and Autonomous Driving Voice Assistant Contexts
Designers struggle to evaluate driver-friendliness of in-vehicle voice prompts at low cost and high efficiency.CUI '22A Question of Fidelity: Comparing Different User Testing Methods for Evaluating In-Car Prompts
lightbulbPractical problemIn-Vehicle and Autonomous Driving Voice Assistant Contexts
Proactively operating voice assistants while driving is distracting and affects driving safety.UbiComp '21Learning When Agents Can Talk to Drivers Using the INAGT Dataset and Multisensor Fusion