2023 Fiscal Year Final Research Report
Semi-automatic Generation of English Dialogue Scenarios Based on Service Process Model
| Project/Area Number |
20K23353
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| Research Category |
Grant-in-Aid for Research Activity Start-up
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| Allocation Type | Multi-year Fund |
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| Review Section |
1002:Human informatics, applied informatics and related fields
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| Research Institution | Kansai University |
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Principal Investigator |
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| Project Period (FY) |
2020-09-11 – 2024-03-31
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| Keywords | 知的会話システム / 第二言語コミュニケーション意欲 / 会話シナリオ / 学習教材 |
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| Outline of Final Research Achievements |
This research project has yielded two main achievements.
First, a semi-automated conversation scenario generation mechanism has been developed and implemented. This mechanism alleviates the burden on scenario designers by eliminating the need to design control flows based on learners' proficiency and motivation. Instead, designers can focus solely on specifying dialogue domain constraints, enabling the mechanism to generate comprehensive dialogue scenarios.
Second, to facilitate the reusability and dissemination of conversation scenarios in educational contexts, an integrated framework has been proposed. This approach concentrates on conversation scenarios and suggests implementation methods within the proposed platform. These methods are based on compiled guidelines that ensure the creation of educationally appropriate resources that are compatible with LMS. The framework aims to promote the adoption and effective utilization of conversation scenarios in various educational settings.
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| Free Research Field |
学習支援システム
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| Academic Significance and Societal Importance of the Research Achievements |
上記の会話シナリオオーサリングツール及び会話制御モデル更にそれにもとづいて行った調査をまとめた学術論文が本研究分野のトップ国際雑誌の一つであるRPTELに採録された. この成果は提案した仕組みの新規性と，複雑なシナリオの動的な切り替え機能や，会話シナリオのタスク実行順序を動的に変更可能な機能の有意義性が認められたと言える.
また，本研究が人工知能学会・研究会優秀賞に至っていることから，学習支援システム研究のみならずHCI，オントロジー工学，第二言語教育学，認知科学などの周辺領域にも波及性を有する有望な成果であると評価されたことを意味している．
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