Full Text:   <2592>

Summary:  <2026>

CLC number: TP13

On-line Access: 2016-04-05

Received: 2015-10-18

Revision Accepted: 2016-02-17

Crosschecked: 2016-03-09

Cited: 3

Clicked: 5931

Citations:  Bibtex RefMan EndNote GB/T7714


V. Julian


-   Go to

Article info.
Open peer comments

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

J. A. Rincon, J. Bajo, A. Fernandez, V. Julian, C. Carrascosa. Using emotions for the development of human-agent societies[J]. Frontiers of Information Technology & Electronic Engineering, 2016, 17(4): 325-337.

@article{title="Using emotions for the development of human-agent societies",
author="J. A. Rincon, J. Bajo, A. Fernandez, V. Julian, C. Carrascosa",
journal="Frontiers of Information Technology & Electronic Engineering",
publisher="Zhejiang University Press & Springer",

%0 Journal Article
%T Using emotions for the development of human-agent societies
%A J. A. Rincon
%A J. Bajo
%A A. Fernandez
%A V. Julian
%A C. Carrascosa
%J Frontiers of Information Technology & Electronic Engineering
%V 17
%N 4
%P 325-337
%@ 2095-9184
%D 2016
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.1500343

T1 - Using emotions for the development of human-agent societies
A1 - J. A. Rincon
A1 - J. Bajo
A1 - A. Fernandez
A1 - V. Julian
A1 - C. Carrascosa
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 17
IS - 4
SP - 325
EP - 337
%@ 2095-9184
Y1 - 2016
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.1500343

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.




Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


[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.

Open peer comments: Debate/Discuss/Question/Opinion


Please provide your name, email address and a comment

Journal of Zhejiang University-SCIENCE, 38 Zheda Road, Hangzhou 310027, China
Tel: +86-571-87952783; E-mail: cjzhang@zju.edu.cn
Copyright © 2000 - 2024 Journal of Zhejiang University-SCIENCE