| Paper Abstract and Keywords |
| Presentation |
2026-03-20 10:30
Research on an automatic generation system for stakeholder-specific Safety Document using RAG Hayato Kato, Minami Yoda, Yutaka Matsuno (Nihon Univ.) KBSE2025-63 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In the development of advanced systems such as automated driving, building safety consensus among stakeholders with diverse backgrounds—including executives, engineers, and safety auditors—has become a critical challenge. Conventional automated reporting tools often produce uniform summaries, failing to optimize information granularity or rhetorical style for specific audiences. This study proposes a stakeholder-adaptive Safety Status Report (SSR) generation system by integrating the sociolinguistic concept of "Audience Design" into the RAG-based retrieval and generation pipeline. The system takes Goal Structuring Notation (GSN) and design specifications as input and dynamically optimizes report generation through role-based dynamic $K$-value control, query expansion, and rhetorical strategy selection.We conducted a two-phase evaluation: retrieval accuracy (Phase 1) and generation quality via LLM-as-a-judge (Phase 2). Phase 1 demonstrated the system's robust adaptation, achieving high noise reduction for business roles (avg. P@K 84.5%, MRR 1.000) and comprehensive evidence extraction for technical roles (avg. Recall 88.9%, up to 100%). Phase 2 confirmed high-quality generation, with high scores in fluency (4.75/5) and GSN alignment (4.33/5), effectively balancing technical simplification for management (4.25/5) with high informativeness for experts (4.17/5). While positioned as a draft generation tool, the results verify its effectiveness in resolving information asymmetry in safety assurance and establishing a foundation for rapid, objective decision-making. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Generative AI / RAG / Safety Status Report / Stakeholder / GSN / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 125, no. 423, KBSE2025-63, pp. 85-90, March 2026. |
| Paper # |
KBSE2025-63 |
| Date of Issue |
2026-03-12 (KBSE) |
| ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
| Download PDF |
KBSE2025-63 |
| Conference Information |
| Committee |
KBSE |
| Conference Date |
2026-03-19 - 2026-03-20 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Okinawa Prefectural General Welfare Center |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
|
| Paper Information |
| Registration To |
KBSE |
| Conference Code |
2026-03-KBSE |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Research on an automatic generation system for stakeholder-specific Safety Document using RAG |
| Sub Title (in English) |
|
| Keyword(1) |
Generative AI |
| Keyword(2) |
RAG |
| Keyword(3) |
Safety Status Report |
| Keyword(4) |
Stakeholder |
| Keyword(5) |
GSN |
| Keyword(6) |
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| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Hayato Kato |
| 1st Author's Affiliation |
Nihon University (Nihon Univ.) |
| 2nd Author's Name |
Minami Yoda |
| 2nd Author's Affiliation |
Nihon University (Nihon Univ.) |
| 3rd Author's Name |
Yutaka Matsuno |
| 3rd Author's Affiliation |
Nihon University (Nihon Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2026-03-20 10:30:00 |
| Presentation Time |
30 minutes |
| Registration for |
KBSE |
| Paper # |
KBSE2025-63 |
| Volume (vol) |
vol.125 |
| Number (no) |
no.423 |
| Page |
pp.85-90 |
| #Pages |
6 |
| Date of Issue |
2026-03-12 (KBSE) |