Publikation:

Dyads to Groups : Modeling Interactions with Affective Dialog Systems

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2013

Autor:innen

Rank, Stefan
Skowron, Marcin

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Published

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International Journal of Computational Linguistics Research. Digital Information Research Foundation. 2013, 4(1), pp. 22-37. ISSN 0976-416X. eISSN 0976-4178

Zusammenfassung

Affect Listeners are applied as tools for studying the role of emotions in online communication. They need to interact both in dyads as well as in group settings with multiple users. In this paper, we present the evolution of such affective dialog systems from a focus on dyadic interaction to multi-party interaction on chat networks. Starting from experiments on the use of these dialog systems in virtual dyadic settings, we outline the requirements, design and implementation decisions necessary to apply the systems to affective interactions with multiple users. Finally, we introduce two realisations of Interactive Affective Bots designed for such interaction scenarios that integrate modelling of individuals and groups as part of their decision mechanism.

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Fachgebiet (DDC)
004 Informatik

Schlagwörter

Emotion processing in texts, Agents Mining, Online communication, Dyadic settings, Dialog Systems

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ISO 690RANK, Stefan, Marcin SKOWRON, David GARCIA, 2013. Dyads to Groups : Modeling Interactions with Affective Dialog Systems. In: International Journal of Computational Linguistics Research. Digital Information Research Foundation. 2013, 4(1), pp. 22-37. ISSN 0976-416X. eISSN 0976-4178
BibTex
@article{Rank2013Dyads-66297,
  year={2013},
  title={Dyads to Groups : Modeling Interactions with Affective Dialog Systems},
  url={https://www.dline.info/jcl/v4n1.php},
  number={1},
  volume={4},
  issn={0976-416X},
  journal={International Journal of Computational Linguistics Research},
  pages={22--37},
  author={Rank, Stefan and Skowron, Marcin and Garcia, David}
}
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    <dc:contributor>Skowron, Marcin</dc:contributor>
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Interner Vermerk

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URL der Originalveröffentl.
https://www.dline.info/jcl/v4n1.php

Prüfdatum der URL

2023-01-27

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