Exploration and Evaluation of Psychological Burden Factors Experienced by Vehicle Occupants in Traffic Environments A Data-Driven Approach Using Natural Language Processing
交通環境が搭乗者にもたらす心理的負担要因の探索と評価 自然言語処理を用いたデータ駆動型アプローチ
- Delivery
- Available on this site
- Format
- Price
- Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880
- Publication code
- 20266094
- Paper/Info type
- Proceedings (Autumn)
No.112-26
- Pages
- 1-2(Total 2 p)
- Date of publication
- Oct 2026
- Publisher
- JSAE
- Language
- Japanese
- Event
- 2026 JSAE Annual Congress (Autumn)
Detailed Information
| Author(J) | 1) 淺井 二千夏, 2) 岩井 律子, 3) 熊田 孝恒 |
|---|---|
| Author(E) | 1) Nichika Asai, 2) Ritsuko Iwai, 3) Takatsune Kumada |
| Affiliation(J) | 1) セールスフォース･ジャパン, 2) 理化学研究所, 3) 京都大学 |
| Affiliation(E) | 1) Salesforce Japan, 2) RIKEN, 3) Kyoto University |
| Abstract(J) | 近年自動運転技術の発展は著しい一方，搭乗者の主観的快適性については十分ではない．そこで本研究では，搭乗者に心理的負担を喚起する交通環境の探索的整理を行った後，自然言語処理及び大規模言語モデルを用いた質問紙自動生成の提案，構築された心理的負担尺度と搭乗者のパーソナリティ特性との関連性の検討を行った． Translation |
| Abstract(E) | In recent years, autonomous driving technology has rapidly advanced; however, the subjective comfort of vehicle occupants has not yet been sufficiently investigated. Therefore, this study explored traffic environments that induce psychological burden on vehicle occupants, proposed an automatic questionnaire generation method using natural language processing and large language models, and examined the relationship between the constructed psychological burden scale and occupants' personality traits. |
