Abstract

As intelligent cockpits transition toward experience-centered scenario design, designers must organize increasingly complex relationships among users, behaviors, and system responses. While Generative AI (GenAI) accelerates early-stage exploration, it often struggles to interpret designers’ intentions, resulting in semantic drift and inconsistencies. This study proposes NarratAIve, a structured narrative–driven framework for human–AI co-creation in intelligent cockpit design. The framework encodes users, actions, contexts, and feedback into computable narrative units that serve as clear semantic inputs for cross-modal AI generation. Through two workshops with 24 participants (including graduate students and industry experts), six cockpit concepts were produced, demonstrating how narrative acts as a controllable mechanism for guiding AI and enabling iterative alignment between narrative text and AI-generated spatial, interaction, and formal expressions. The findings show that structured narrative significantly improves design clarity, enhances human–AI negotiation, and expands the breadth and precision of scenario-based concept development.

Keywords

Narrative design; Human–AI co-creation; Intelligent cockpit;Human–AI alignment

Creative Commons License

Creative Commons Attribution-NonCommercial 4.0 International License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

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Jun 8th, 9:00 AM Jun 12th, 5:00 PM

NarratAIve: Using Narrative for Human–AI Co-Creation in Intelligent Cockpits

As intelligent cockpits transition toward experience-centered scenario design, designers must organize increasingly complex relationships among users, behaviors, and system responses. While Generative AI (GenAI) accelerates early-stage exploration, it often struggles to interpret designers’ intentions, resulting in semantic drift and inconsistencies. This study proposes NarratAIve, a structured narrative–driven framework for human–AI co-creation in intelligent cockpit design. The framework encodes users, actions, contexts, and feedback into computable narrative units that serve as clear semantic inputs for cross-modal AI generation. Through two workshops with 24 participants (including graduate students and industry experts), six cockpit concepts were produced, demonstrating how narrative acts as a controllable mechanism for guiding AI and enabling iterative alignment between narrative text and AI-generated spatial, interaction, and formal expressions. The findings show that structured narrative significantly improves design clarity, enhances human–AI negotiation, and expands the breadth and precision of scenario-based concept development.

 

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