Browse > Article
http://dx.doi.org/10.17661/jkiiect.2021.14.4.239

Development of An Interactive System Prototype Using Imitation Learning to Induce Positive Emotion  

Oh, Chanhae (SK Inc. C&C)
Kang, Changgu (School of Computer Engineering, Gyeongsang National University)
Publication Information
The Journal of Korea Institute of Information, Electronics, and Communication Technology / v.14, no.4, 2021 , pp. 239-246 More about this Journal
Abstract
In the field of computer graphics and HCI, there are many studies on systems that create characters and interact naturally. Such studies have focused on the user's response to the user's behavior, and the study of the character's behavior to elicit positive emotions from the user remains a difficult problem. In this paper, we develop a prototype of an interaction system to elicit positive emotions from users according to the movement of virtual characters using artificial intelligence technology. The proposed system is divided into face recognition and motion generation of a virtual character. A depth camera is used for face recognition, and the recognized data is transferred to motion generation. We use imitation learning as a learning model. In motion generation, random actions are performed according to the first user's facial expression data, and actions that the user can elicit positive emotions are learned through continuous imitation learning.
Keywords
Artificial intelligence(AI); Face Recognition; Imitation Learning; Interaction System; Reinforce Learning;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Barnabas Takacs, Klara Csizinszky, Daniele Mazzei, Lajos Simonl. "A psychological framework to objectively evaluate socially capable robots for interactive tutoring systems." 15th International Conference on Control, Automation and Systems (ICCAS). IEEE, 2015.
2 Lisa FanMatthias Scheut , Monika Lohani, Marissa McCoy, Charlene Stokes. "Do we need emotionally intelligent artificial agents? First results of human perceptions of emotional intelligence in humans compared to robots." International Conference on Intelligent Virtual Agents. Springer, Cham, 2017.
3 Alemi, Omid, and Philippe Pasquier. "WalkNet: A neural-network-based interactive walking controller." International Conference on Intelligent Virtual Agents. Springer, Cham, 2017.
4 Neto, Amyr Borges Fortes, Catherine Pelachaud, and Soraia Raupp Musse. "Giving emotional contagion ability to virtual agents in crowds." International Conference on Intelligent Virtual Agents. Springer, Cham, 2017.
5 David C. Jeong, Dan Feng, Nicole C. Kramer, Lynn C. Miller, Stacy Marsella, "Negative feedback in your face: examining the effects of proxemics and gender on learning." International conference on intelligent virtual agents. Springer, Cham, 2017.
6 Parviainen, Jaana, and Mark Coeckelbergh. "The political choreography of the Sophia robot: beyond robot rights and citizenship to political performances for the social robotics market." AI & SOCIETY (2020):1-10.
7 Jason Wu, Sayan Ghosh, Mathieu Chollet, Steven Ly, Sharon Mozgai, Stefan Scherer, "Nadia: Neural network driven virtual human conversation agents." Proceedings of the 18th International Conference on Intelligent Virtual Agents. 2018.
8 Samsung Ballie at CES 2020 [Website]. (2020. 0 7. 20.) Retrieved from https://news.samsung.com /us/samsung-ballie-ces-2020/
9 NUITRACK [computer software]
10 Arthur Juliani, Vincent-Pierre Berges, Ervin Teng, Andrew Cohen, Jonathan Harper, Chris Elion, Chris Goy, Yuan Gao, Hunter Henry, Marwan Mattar, Danny Lange, "Unity: A general platform for intelligent agents." arXiv preprint arXiv:1809.02627 (2018).
11 Iwan de Kok, Felix Hulsmann, Thomas Waltemate, Cornelia Frank, Julian Hough, Thies Pfeiffer, David Schlangen, Thomas Schack, Mario Botsch, Stefan Kopp, "The intelligent coaching space: a demonstration." International Conference on Intelligent Virtual Agents. Springer, Cham, 2017.
12 Ada [Website]. (2019, 10, 11. ) Retrieved from https://www.microsoft.com/artist-in-residence/collaborations/ada/
13 John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, Oleg Klimov, "Proximal policy optimization algorithms." arXiv preprint arXiv:1707.06347 (2017).