Affective Dialogue Computing
Affective Dialogue Computing is a computational framework within dialogue systems for learning that integrates emotion-aware modeling and affect-sensitive interaction strategies to recognize, interpret, and respond to learners' emotional states in order to enhance engagement, motivation, and learning outcomes.
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1.2K
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89
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32
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2017–2026
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Automatic Dialogue Generation with Expressed Emotions
Chenyang Huang, Osmar R. Zai͏̈ane, Amine Trabelsi et al. · 2018 · 145 citations · Full text
EmpDG: Multi-resolution Interactive Empathetic Dialogue Generation
Qintong Li, Hongshen Chen, Zhaochun Ren et al. · 2020 · 137 citations · Full text
Affect-Driven Dialog Generation
Pierre Colombo, Wojciech Witoń, Ashutosh Modi et al. · 2019 · 109 citations · Full text
Nurul Lubis, Sakriani Sakti, Koichiro Yoshino et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2018 · 78 citations · Full text
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32

Hefei University of Technology
Hefei, China
2 h-index
5 publications
115 citations

University of Alberta
Edmonton, Canada
2 h-index
5 publications
607 citations
Peng Cheng Laboratory
Shenzhen, China
1 h-index
1 publications
17 citations
Manchester University
Fort Wayne, United States
1 h-index
3 publications
234 citations

Renmin University of China
Beijing, China
1 h-index
5 publications
310 citations

Hokkaido University
Sapporo, Japan
1 h-index
3 publications
30 citations

National University of Defense Technology
Changsha, China
1 h-index
4 publications
56 citations
Alelo (United States)
Los Angeles, United States
1 h-index
1 publications
58 citations
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TAC · 2 publications · 134 citations
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Conference · 1 publications · 62 citations
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1 publications · 45 citations
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1 publications · 58 citations
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Repository · 1 publications · 10 citations
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