Theory of Personalized HMI Design for Promoting Safe Driving Using Structural Equation Modeling
構造方程式モデリングを活用した安全運転促進のためのHMI個人適合設計論
- Delivery
- Available on this site
- Format
- Price
- Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880
- Publication code
- 20266315
- Paper/Info type
- Proceedings (Autumn)
No.158-26
- Pages
- 1-6(Total 6 p)
- Date of publication
- Oct 2026
- Publisher
- JSAE
- Language
- Japanese
- Event
- 2026 JSAE Annual Congress (Autumn)
Detailed Information
| Author(J) | 1) 室谷 帆人, 2) 吉田 恵美子, 3) 鈴木 桂輔 |
|---|---|
| Author(E) | 1) Kaito Murotani, 2) Emiko Yoshida, 3) Keisuke Suzuki |
| Affiliation(J) | 1) 香川大学, 2) あいおいニッセイ同和損害保険, 3) 香川大学 |
| Affiliation(E) | 1) Kagawa University, 2) Aioi Nissay Dowa Insurance, 3) Kagawa University |
| Abstract(J) | 実走行データと個人特性調査に基づき，潜在的要因（性格）と顕在的要因（運転行動）を統合した情報提示HMIデバイスの設計手法を提案した．SEMによる因果構造の可視化とAIにない明瞭なロジックで情報への信頼感を高めた．個人に最適化した警告により，トラスト醸成と安全運転を両立する，新たな設計論である． Translation |
| Abstract(E) | Based on one-week real-world driving data and surveys of individual characteristics, this study proposes an information-presentation HMI design methodology that integrates latent psychological factors (personality) with manifest factors (driving behavior). We enhanced the reliability of the presented information by visualizing causal structures via Structural Equation Modeling (SEM), thereby employing a transparent logic distinct from black-box AI. By delivering warnings optimally tailored to individual drivers, this novel design paradigm effectively achieves both user trust-building and safe driving, establishing a vital framework for the approaching Software-Defined Vehicle (SDV) era. |
