JZUS - Journal of Zhejiang University SCIENCE

Frontiers of Information Technology & Electronic Engineering 2016 Vol.17 No.4 P.325-337

Using emotions for the development of human-agent societies

Author(s): J. A. Rincon, J. Bajo, A. Fernandez, V. Julian, C. Carrascosa
Affiliation(s): Department of Computer Systems and Computation, Universitat Politecnica de Valencia, Valencia 46022, Spain; more
Corresponding email(s): jrincon@dsic.upv.es, jbajo@fi.upm.es, alberto.fernandez@urjc.es, vinglada@dsic.upv.es, carrasco@dsic.upv.es
Key Words: Multi-agent systems, Virtual environments, Emotional agents

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Abstract: Human-agent societies refer to applications where virtual agents and humans coexist and interact transparently into a fully integrated environment. One of the most important aspects in this kind of applications is including emotional states of the agents (humans or not) in the decision-making process. In this sense, this paper presents the applicability of the JaCalIVE (Jason Cartago implemented intelligent virtual environment) framework for developing this kind of society. Specifically, the paper presents an ambient intelligence application where humans are immersed into a system that extracts and analyzes the emotional state of a human group. A social emotional model is employed to try to maximize the welfare of those humans by playing the most appropriate music in every moment.

人机交互社会构建中情感的应用

目的：基于JaCalIVE框架开发对人类情感状态在人机交互中的应用，旨在构建一个人机更为融洽的社会环境。
创新点：将人作为一种智能体构建多智能群体社会环境，以人的情感状态为要素开发了一种环境智能应用。
方法：首先分别介绍了社会情绪模型和JaCalIVE智能虚拟环境框架。继而提出了问题模型：通过音乐的变化提升群体的情绪状态。基于JaCalIVE开发了一种环境智能应用用以分析酒吧情景下的群体情感状态，进而自动选择播放合适的音乐来最大化地改善群体情感状态。最后，通过仿真实验验证了所构建系统的有效性。
结论：本文所提出的环境智能系统能够以非侵入的方式提取并分析群体的社会情感，据此可以有效选择情景音乐。

关键词：多智能体系统；虚拟环境；情感智能体

Reference

[1]Ali, F., Amin, M., 2014. The influence of physical environment on emotions, customer satisfaction and behavioural intentions in Chinese resort hotel industry. J. Glob. Bus. Adv., 7(3):249-266.

[2]Bales, R.F., 2001. Social Interaction Systems: Theory and Measurement. Transaction Publishers, USA.

[3]Barella, A., Ricci, A., Boissier, O., et al., 2012. MAM5: multi-agent model for intelligent virtual environments. Proc. 10th European Workshop on Multi-Agent Systems, p.16-30.

[4]Billhardt, H., Julian, V., Corchado, J.M., et al., 2014. An architecture proposal for human-agent societies. Proc. Int. Workshop on Highlights of Practical Applications of Heterogeneous Multi-Agent Systems, p.344-357.

[5]Ducatel, K., Bogdanowicz, M., Scapolo, F., et al., 2001. Scenarios for Ambient Intelligence in 2010. Office for Official Publications of the European Communities.

[6]Fernandez, A., Ossowski, S., 2011. A multiagent approach to the dynamic enactment of semantic transportation services. IEEE Trans. Intell. Transp. Syst., 12(2):333-342.

[7]Hale, K.S., Stanney, K.M., 2002. Handbook of Virtual Environments: Design, Implementation, and Applications. CRC Press, USA.

[8]Han, D.M., Lim, J.H., 2010. Smart home energy management system using IEEE 802.15.4 and ZigBee. IEEE Trans. Consum. Electron., 56(3):1403-1410.

[9]Hendler, J., 2007. Where are all the intelligent agents? IEEE Intell. Syst., 22:2-3.

[10]Holzapfel, A., Stylianou, Y., 2007. A statistical approach to musical genre classification using non-negative matrix factorization. Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing, p.693-696.

[11]Huhns, M.N., Singh, M.P., Burstein, M., et al., 2005. Research directions for service-oriented multiagent systems. IEEE Internet Comput., 9(6):65.

[12]Intille, S.S., 2002. Designing a home of the future. IEEE Perva. Comput., 1(2):76-82.

[13]Lawrence, S., Giles, C.L., Tsoi, A.C., et al., 1997. Face recognition: a convolutional neural-network approach. IEEE Trans. Neur. Netw., 8(1):98-113.

[14]Li, T., Ogihara, M., Li, Q., 2003. A comparative study on content-based music genre classification. Proc. 26th Annual Int. ACM SIGIR Conf. on Research and Development in Information Retrieval, p.282-289.

[15]Mangina, E., Carbo, J., Molina, J.M., 2009. Agent-Based Ubiquitous Computing. Atlantis Press, France.

[16]Mehrabian, A., 1980. Basic Dimensions for a General Psychological Theory: Implications for Personality, Social, Environmental, and Developmental Studies. Oelgeschlager, Gunn & Hain, USA.

[17]Mehrabian, A., 1997. Analysis of affiliation-related traits in terms of the PAD temperament model. J. Psychol., 131(1):101-117.

[18]Nanty, A., Gelin, R., 2013. Fuzzy controlled PAD emotional state of a NAO robot. Proc. Conf. on Technologies and Applications of Artificial Intelligence, p.90-96.

[19]Ortony, A., 1990. The Cognitive Structure of Emotions. Cambridge University Press, USA.

[20]Ossowski, S., 2013. Agreement Technologies: 8 (Law, Governance and Technology Series). Springer, the Netherlands.

[21]Osuna, E., Freund, R., Girosit, F., 1997. Training support vector machines: an application to face detection. Proc. IEEE Computer Society Conf. on Computer Vision and Pattern Recognition, p.130-136.

[22]Rincon, J.A., Garcia, E., Julian, V., et al., 2014. Developing adaptive agents situated in intelligent virtual environments. Proc. 9th Int. Conf. on Hybrid Artificial Intelligence Systems, p.98-109.

[23]Rincon, J.A., Julian, V., Carrascosa, C., 2015a. Applying a social emotional model in human-agent societies. Proc. Int. Workshops of Practical Applications of Agents, Multi-Agent Systems, p.377-388.

[24]Rincon, J.A., Julian, V., Carrascosa, C., 2015b. Social emotional model. Proc. 13th Int. Conf. on Practical Applications of Agents, Multi-Agent Systems, p.199-210.

[25]Satyanarayanan, M., 2001. Pervasive computing: vision and challenges. IEEE Pers. Commun., 8(4):10-17.

[26]Satyanarayanan, M., 2002. A catalyst for mobile and ubiquitous computing. IEEE Perva. Comput., 1(1):2-5.

[27]Talupur, M., Nath, S., Yan, H., 2001. Classification of Music Genre. Project Report for 15781.

[28]Viola, P., Jones, M.J., 2004. Robust real-time face detection. Int. J. Comput. Vis., 57(2):137-154.

[29]Weiser, M., 1991. The computer for the 21st century. Sci. Am., 265(3):94-104.

[30]Zambonelli, F., Jennings, N.R., Wooldridge, M., 2003. Developing multiagent systems: the Gaia methodology. ACM Trans. Softw. Eng. Meth., 12(3):317-370.

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