@article{oai:ipsj.ixsq.nii.ac.jp:02006996,
 author = {坂本,珠凜 and 村井,源 and Jurin Sakamoto and Hajime Murai},
 issue = {2},
 journal = {情報処理学会論文誌},
 month = {Feb},
 note = {本研究は，登場人物の過去に位置づく「背景史」が登場人物の自己実現プロセス（背景史受容）に与える影響を解明し，背景史包含型物語の自動生成の基盤を築くことを目的とする．マンガ大賞受賞作7作品から抽出した1,678シーンを，背景史の種々の要素に相当する4種の背景史属性タグでアノテーションした．背景史分析の一致度検証では被験者15名に合計37シーンのアノテーションを依頼し，4種の背景史属性タグで第二候補までのKappa係数が0.68以上と高い一致度を示した．また，背景史受容に至る一連の物語展開（背景史連鎖）を142件のデータセットとして構築した．各背景史連鎖の類型化の結果，回復・解放・表明・同情・奮起・反省・教訓の7類型を抽出し，類型別に背景史属性タグの出現傾向を比較した．さらに因子分析により12の因子を抽出し，シーン単位の背景史共起パターンを明らかにした．, This study aims to clarify how background histories―past events assigned to story characters―affect the characters' self-realization process (background-history acceptance) and to lay the groundwork for future automatic story-generation systems that incorporate such histories. We annotated 1,678 scenes drawn from seven Manga Taisho award-winning works with four category sets that capture different aspects of background histories. An inter-annotator reliability study was conducted in which 15 participants independently labeled 37 scenes; Van Someren et al.'s κ for all four category sets―counting first- and second-choice labels―was ≥ 0.68, indicating substantial agreement. In addition, we compiled a dataset of 142 background-history chains, each representing the sequence of narrative events leading to a character's acceptance of their past. Clustering the chains yielded seven typologies―Recovery, Relief, Declaration, Sympathy, Encouragement, Reflection, and Lesson―and we compared the distribution of background-history categories across these types. Exploratory factor analysis identified 12 latent factors, revealing patterns in how multiple background-history elements co-occur within a single scene.},
 pages = {202--216},
 title = {一致度検証と類型分析に基づく背景史包含型物語の生成基盤構築},
 volume = {67},
 year = {2026}
}