- -

Using emotions for the development of human-agent societies

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

Using emotions for the development of human-agent societies

Mostrar el registro sencillo del ítem

Ficheros en el ítem

dc.contributor.author Rincon, J. A. es_ES
dc.contributor.author Bajo, J. es_ES
dc.contributor.author Fernandez, A. es_ES
dc.contributor.author Julian Inglada, Vicente Javier es_ES
dc.contributor.author Carrascosa Casamayor, Carlos es_ES
dc.date.accessioned 2021-07-08T03:31:12Z
dc.date.available 2021-07-08T03:31:12Z
dc.date.issued 2016-04 es_ES
dc.identifier.issn 2095-9184 es_ES
dc.identifier.uri http://hdl.handle.net/10251/168936
dc.description.abstract [EN] 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 framework for developing this kind of societies. 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 in order to try to maximize the welfare of those humans by playing the most appropriate music in every moment. es_ES
dc.description.sponsorship Project supported by the Ministerio de Economia y Competitividad of the Spanish Government and the European Regional Development Fund of the European Union (No. TIN2015-65515-C4-1-R) es_ES
dc.language Inglés es_ES
dc.publisher Zhejiang University Press es_ES
dc.relation.ispartof Frontiers of Information Technology & Electronic Engineering es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Emotion es_ES
dc.subject Multi-Agent System es_ES
dc.subject JaCalIVE es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Using emotions for the development of human-agent societies es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1631/FITEE.1500343 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TIN2015-65515-C4-1-R/ES/ARQUITECTURA PERSUASIVA PARA EL USO SOSTENIBLE E INTELIGENTE DE VEHICULOS EN FLOTAS URBANAS/ es_ES
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Rincon, JA.; Bajo, J.; Fernandez, A.; Julian Inglada, VJ.; Carrascosa Casamayor, C. (2016). Using emotions for the development of human-agent societies. Frontiers of Information Technology & Electronic Engineering. 17(4):325-337. https://doi.org/10.1631/FITEE.1500343 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1631/FITEE.1500343 es_ES
dc.description.upvformatpinicio 325 es_ES
dc.description.upvformatpfin 337 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 17 es_ES
dc.description.issue 4 es_ES
dc.relation.pasarela S\304329 es_ES
dc.contributor.funder European Regional Development Fund es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
dc.description.references 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. http://dx.doi.org/10.1504/JGBA.2014.064109 es_ES
dc.description.references Bales, R.F., 2001. Social Interaction Systems: Theory and Measurement. Transaction Publishers, USA. es_ES
dc.description.references 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. es_ES
dc.description.references 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. http://dx.doi.org/10.1007/978-3-319-07767-3_31 es_ES
dc.description.references Ducatel, K., Bogdanowicz, M., Scapolo, F., et al., 2001. Scenarios for Ambient Intelligence in 2010. Office for Official Publications of the European Communities. es_ES
dc.description.references 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. http://dx.doi.org/10.1109/TITS.2011.2106776 es_ES
dc.description.references Hale, K.S., Stanney, K.M., 2002. Handbook of Virtual Environments: Design, Implementation, and Applications. CRC Press, USA. es_ES
dc.description.references 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. http://dx.doi.org/10.1109/TCE.2010.5606276 es_ES
dc.description.references Hendler, J., 2007. Where are all the intelligent agents? IEEE Intell. Syst., 22:2–3. es_ES
dc.description.references 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. http://dx.doi.org/10.1109/ICASSP.2007.366330 es_ES
dc.description.references Huhns, M.N., Singh, M.P., Burstein, M., et al., 2005. Research directions for service-oriented multiagent systems. IEEE Internet Comput., 9(6):65. es_ES
dc.description.references Intille, S.S., 2002. Designing a home of the future. IEEE Perva. Comput., 1(2):76–82. es_ES
dc.description.references 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. http://dx.doi.org/10.1109/72.554195 es_ES
dc.description.references 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. http://dx.doi.org/10.1145/860435.860487 es_ES
dc.description.references Mangina, E., Carbo, J., Molina, J.M., 2009. Agent-Based Ubiquitous Computing. Atlantis Press, France. http://dx.doi.org/10.2991/978-94-91216-31-2 es_ES
dc.description.references Mehrabian, A., 1980. Basic Dimensions for a General Psychological Theory: Implications for Personality, Social, Environmental, and Developmental Studies. Oelgeschlager, Gunn & Hain, USA. es_ES
dc.description.references Mehrabian, A., 1997. Analysis of affiliation-related traits in terms of the PAD temperament model. J. Psychol., 131(1):101–117. http://dx.doi.org/10.1080/00223989709603508 es_ES
dc.description.references 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. http://dx.doi.org/10.1109/TAAI.2013.30 es_ES
dc.description.references Ortony, A., 1990. The Cognitive Structure of Emotions. Cambridge University Press, USA. es_ES
dc.description.references Ossowski, S., 2013. Agreement Technologies: 8 (Law, Governance and Technology Series). Springer, the Netherlands. http://dx.doi.org/10.1007/978-94-007-5583-3 es_ES
dc.description.references 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. http://dx.doi.org/10.1109/CVPR.1997.609310 es_ES
dc.description.references 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. http://dx.doi.org/10.1007/978-3-319-07617-1_9 es_ES
dc.description.references 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. http://dx.doi.org/10.1007/978-3-319-19033-4_33 es_ES
dc.description.references 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. http://dx.doi.org/10.1007/978-3-319-18944-4_17 es_ES
dc.description.references Satyanarayanan, M., 2001. Pervasive computing: vision and challenges. IEEE Pers. Commun., 8(4):10–17. http://dx.doi.org/10.1109/98.943998 es_ES
dc.description.references Satyanarayanan, M., 2002. A catalyst for mobile and ubiquitous computing. IEEE Perva. Comput., 1(1):2–5. http://dx.doi.org/10.1109/MPRV.2002.993138 es_ES
dc.description.references Talupur, M., Nath, S., Yan, H., 2001. Classification of Music Genre. Project Report for 15781. es_ES
dc.description.references Viola, P., Jones, M.J., 2004. Robust real-time face detection. Int. J. Comput. Vis., 57(2):137–154. http://dx.doi.org/10.1023/B:VISI.0000013087.49260.fb es_ES
dc.description.references Weiser, M., 1991. The computer for the 21st century. Sci. Am., 265(3):94–104. http://dx.doi.org/10.1038/scientificamerican0991-94 es_ES
dc.description.references Zambonelli, F., Jennings, N.R., Wooldridge, M., 2003. Developing multiagent systems: the Gaia methodology. ACM Trans. Softw. Eng. Meth., 12(3):317–370. http://dx.doi.org/10.1145/958961.958963 es_ES


Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem