{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T22:31:26Z","timestamp":1770330686686,"version":"3.49.0"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643685625","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,12,5]],"date-time":"2024-12-05T00:00:00Z","timestamp":1733356800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,12,5]]},"abstract":"<jats:p>This study introduces the Collision Clarification Generator (CCG), a Large Language Model-based system designed to assist in documenting traffic accidents. The CCG comprises three modules: Questioning, Information Extraction, and Accident Sequence Generation, which collectively streamline the process of gathering and structuring accident information. The system employs predefined question templates and a standardized Traffic Accident Record Format (TARF) to ensure comprehensive data collection. Evaluation of the CCG involved both human assessment and LLM-based automatic evaluation. Results showed an F1 score of 0.909 in human evaluation, and scores exceeding 7 out of 10 for accuracy and completeness in LLM-based assessment. These findings demonstrate the CCG\u2019s effectiveness in accurately documenting accident information, potentially facilitating subsequent legal and insurance processes.<\/jats:p>","DOI":"10.3233\/faia241236","type":"book-chapter","created":{"date-parts":[[2024,12,6]],"date-time":"2024-12-06T00:00:31Z","timestamp":1733443231000},"source":"Crossref","is-referenced-by-count":1,"title":["A Narrative Assistant for Traffic Accidents Based on Large Language Models (LLM)"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-1875-2122","authenticated-orcid":false,"given":"Jo-Chi","family":"Kung","sequence":"first","affiliation":[{"name":"Dept. of Computer Science & Information Engineering, National Central University, Taiwan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1101-6337","authenticated-orcid":false,"given":"Chia-Hui","family":"Chang","sequence":"additional","affiliation":[{"name":"Dept. of Computer Science & Information Engineering, National Central University, Taiwan"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-4048-6150","authenticated-orcid":false,"given":"Huai-Hsuan","family":"Huang","sequence":"additional","affiliation":[{"name":"Dept. of Computer Science & Information Engineering, National Central University, Taiwan"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-0441-0363","authenticated-orcid":false,"given":"Kuo-Chun","family":"Chien","sequence":"additional","affiliation":[{"name":"Dept. of Computer Science & Information Engineering, National Central University, Taiwan"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Legal Knowledge and Information Systems"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA241236","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,6]],"date-time":"2024-12-06T00:00:32Z","timestamp":1733443232000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA241236"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,5]]},"ISBN":["9781643685625"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia241236","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12,5]]}}}