| Project/Area Number |
18K11455
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Review Section |
Basic Section 61030:Intelligent informatics-related
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| Research Institution | Otemae University |
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Principal Investigator |
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| Project Period (FY) |
2018-04-01 – 2021-03-31
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| Project Status |
Completed (Fiscal Year 2020)
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| Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2020: ¥520,000 (Direct Cost: ¥400,000、Indirect Cost: ¥120,000)
Fiscal Year 2019: ¥520,000 (Direct Cost: ¥400,000、Indirect Cost: ¥120,000)
Fiscal Year 2018: ¥3,250,000 (Direct Cost: ¥2,500,000、Indirect Cost: ¥750,000)
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| Keywords | 顔文字 / 感情 / 性格 / 自動生成 / 生成 / 分類 / 辞書 |
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| Outline of Final Research Achievements |
In this study, we investigate and verify the automatic generation of emoticons. Five major results have been obtained: 1. Evaluation of the difficulty of emotion estimation from sentences, 2. detection of negative expressions, 3. Summarization of emoticons, 4. Sentence segmentation of long sentences, and 5. Personality-aware speech generation.
On the other hand, the automatic generation of emoticons, which was the main objective of the project, has been stopped in the middle of the research because the social situation has made it impossible to secure the effort. Our progress is up to the point of detecting personality as user preferences (emotions, actions, and behaviors).
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| Academic Significance and Societal Importance of the Research Achievements |
本研究は，テキストベースのオンラインコミュニケーションを円滑化が最大の貢献であり，特に，COVID-19以降はリモートワークが主体となり，テキストコミュニケーションの必要性が高まっている．一同に会して行うコミュニケーションとは異なり，より少ない情報から的確に相手の意図を汲み取る能力が要求される．こういった社会情勢においては，感情や状況，動作を非言語情報として伝えられる顔文字の利用価値は増す末高まると考えられる．
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