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LLM and Natural Language Interaction / In-Vehicle and Autonomous Driving Voice Assistant Contexts

Can online text crowdsourcing effectively evaluate the naturalness and conciseness of voice assistant prompts?

helpResearch questionIn-Vehicle and Autonomous Driving Voice Assistant Contexts

Can online text crowdsourcing effectively evaluate the naturalness and conciseness of voice assistant prompts?

CUI '22A Question of Fidelity: Comparing Different User Testing Methods for Evaluating In-Car Prompts

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helpResearch questionIn-Vehicle and Autonomous Driving Voice Assistant Contexts

Can dynamically adjusting voice command format effectively improve information processing and reaction efficiency while driving?

CHI '24AdaptiveVoice: Cognitively Adaptive Voice Interface for Driving Assistance

helpResearch questionIn-Vehicle and Autonomous Driving Voice Assistant Contexts

How do changes in users' cognitive load affect their preferences for different voice command formats?

CHI '24AdaptiveVoice: Cognitively Adaptive Voice Interface for Driving Assistance

helpResearch questionIn-Vehicle and Autonomous Driving Voice Assistant Contexts

Can combining cognitive-load-adaptive voice assistants with HUD (head-up display) further optimize the driving experience?

CHI '24AdaptiveVoice: Cognitively Adaptive Voice Interface for Driving Assistance

helpResearch questionIn-Vehicle and Autonomous Driving Voice Assistant Contexts

How do different dialogue domains (e.g., safety-related, comfort-oriented) shape prompt language design preferences for in-vehicle voice assistants?

CUI '23Secure, Comfortable or Functional: Exploring Domain-Sensitive Prompt Design for In-Car Voice Assistants

helpResearch questionIn-Vehicle and Autonomous Driving Voice Assistant Contexts

How do syntactic properties of prompt language (e.g., sentence structure, length, active vs. passive voice) affect user experience in in-vehicle voice assistants?

CUI '23Secure, Comfortable or Functional: Exploring Domain-Sensitive Prompt Design for In-Car Voice Assistants

helpResearch questionIn-Vehicle and Autonomous Driving Voice Assistant Contexts

Do conversation types (functional, informational, proactive) influence domain sensitivity in in-vehicle voice assistant prompt design?

CUI '23Secure, Comfortable or Functional: Exploring Domain-Sensitive Prompt Design for In-Car Voice Assistants

Related papers

AdaptiveVoice: Cognitively Adaptive Voice Interface for Driving Assistance

Shaoyue Wen, Songming Ping, Jialin Wang