A Socially Acceptable Conversational Agent Based on Cognitive Modeling and Machine Learning-Reference-Cited by-同舟云学术

A Socially Acceptable Conversational Agent Based on Cognitive Modeling and Machine Learning

Published:2024 Issue: Volume: Page:312-322
ISSN:1860-949X
Container-title:Studies in Computational Intelligence
language:en
Short-container-title:

Author:

Dolgikh Anatoly A.,Samsonovich Alexei V.

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-50381-8_31

Reference20 articles.

1. Ali, M.R.: A virtual conversational agent for teens with autism spectrum disorder: experimental results and design lessons. In: Proceedings of the 20th ACM International Conference on Intelligent Virtual Agents (IVA ‘20). Association for Computing Machinery, New York, USA (2020)

2. Hartholt, A.: Introducing canvas: combining nonverbal behavior generation with user-generated content to rapidly create educational videos. In: Proceedings of the 20th ACM International Conference on Intelligent Virtual Agents (IVA ‘20). Association for Computing Machinery, New York, USA (2020)

3. Diaz, F. et al.: Empathic smart conversational agent for enhanced recovery from abdominal surgery at home. In: HCI International 2022-Late Breaking Posters: 24th International Conference on Human-Computer Interaction, HCII 2022, Virtual Event, June 26- July 1, 2022, Proceedings, Part I.-Cham: Springer Nature Switzerland (2022)

4. Elgarf, M., Skantze, G., Peters, C.: Once upon a story: can a creative storyteller robot stimulate creativity in children? In: Proceedings of the 21st ACM International Conference on Intelligent Virtual Agents (2021)

5. Blache, P.: An integrated model for predicting backchannel feedbacks/Philippe Blache, Massina Abderrahmane, St√©phane _ _ Rauzy, and Roxane Bertrand. 2020. In: Proceedings of the 20th ACM International Conference on Intelligent Virtual Agents (IVA ‘20). Association for Computing Machinery, New York (2020)