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Developing an emotional-based application for human-agent societies

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Developing an emotional-based application for human-agent societies

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dc.contributor.author Rincón Arango, Jaime Andrés es_ES
dc.contributor.author Julian Inglada, Vicente Javier es_ES
dc.contributor.author Carrascosa Casamayor, Carlos es_ES
dc.date.accessioned 2017-06-14T07:57:30Z
dc.date.available 2017-06-14T07:57:30Z
dc.date.issued 2016-11
dc.identifier.issn 1432-7643
dc.identifier.uri http://hdl.handle.net/10251/82818
dc.description The final publication is available at Springer via http://dx.doi.org/10.1007/s00500-016-2289-5 es_ES
dc.description.abstract The purpose of this paper is to present an emotional-based application for human-agent societies. This kind of applications are those where virtual agents and humans coexist and interact transparently into a fully integrated environment. Specifically, the paper presents an application where humans are immersed into a system that extracts and analyzes the emotional states of a human group trying to maximize the welfare of those humans by playing the most appropriate music in every moment. This system can be used not only online, calculating the emotional reaction of people in a bar to a new song, but also in simulation, to predict the people s reaction to changes in music or in the bar layout. es_ES
dc.description.sponsorship This work is partially supported by the MINECO/FEDER TIN2015-65515-C4-1-R and the FPI Grant AP2013-01276 awarded to Jaime-Andres Rincon. en_EN
dc.language Inglés es_ES
dc.publisher Springer Verlag (Germany) es_ES
dc.relation.ispartof Soft Computing es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Multi-agent systems es_ES
dc.subject Face recognition es_ES
dc.subject Emotional agents es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Developing an emotional-based application for human-agent societies es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s00500-016-2289-5
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.relation.projectID info:eu-repo/grantAgreement/MECD//AP2013-01276/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica es_ES
dc.description.bibliographicCitation Rincón Arango, JA.; Julian Inglada, VJ.; Carrascosa Casamayor, C. (2016). Developing an emotional-based application for human-agent societies. Soft Computing. 20(11):4217-4228. https://doi.org/10.1007/s00500-016-2289-5 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://link.springer.com/article/10.1007/s00500-016-2289-5 es_ES
dc.description.upvformatpinicio 4217 es_ES
dc.description.upvformatpfin 4228 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 20 es_ES
dc.description.issue 11 es_ES
dc.relation.senia 316458 es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
dc.contributor.funder Ministerio de Educación, Cultura y Deporte es_ES
dc.description.references Ali F, Amin M (2013) The influence of physical environment on emotions, customer satisfaction and behavioural intentions in chinese resort hotel industry. In: KMITL-AGBA conference Bangkok, pp 15–17 es_ES
dc.description.references Barella A, Ricci A, Boissier O, Carrascosa C (2012) MAM5: Multi-agent model for intelligent virtual environments. In: 10th European workshop on multi-agent systems (EUMAS 2012), pp 16–30 es_ES
dc.description.references Becker-Asano C, Wachsmuth I (2010) Affective computing with primary and secondary emotions in a virtual human. Auton Agents Multi-Agent Syst 20(1):32–49. doi: 10.1007/s10458-009-9094-9 es_ES
dc.description.references Billhardt H, Julián V, Corchado J, Fernández A (2014) An architecture proposal for human-agent societies. In: Highlights of practical applications of heterogeneous multi-agent systems. The PAAMS collection, Communications in Computer and Information Science, vol 430, Springer, pp 344–357, doi: 10.1007/978-3-319-07767-3_31 es_ES
dc.description.references Billhardt H, Julián V, Corchado JM, Fernández A (2015) Human-agent societies: challenges and issues. Int J Artif Intell 13(1):28–44 es_ES
dc.description.references Broekens J (2007) Emotion and reinforcement: Affective facial expressions facilitate robot learning. Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics) 4451 LNAI:113–132. doi: 10.1007/978-3-540-72348-6_6 es_ES
dc.description.references Canento F, Fred A, Silva H, Gamboa H, Lourenço A (2011) Multimodal biosignal sensor data handling for emotion recognition. In: Sensors, 2011 IEEE, pp 647–650 es_ES
dc.description.references Delac K, Grgic M, Grgic S (2005) Statistics in face recognition: analyzing probability distributions of PCA, ICA and LDA performance results. In: ISPA 2005 proceedings of the 4th international symposium on image and signal processing and analysis, 2005, pp 289–294. doi: 10.1109/ISPA.2005.195425 es_ES
dc.description.references Esparcia S, Sánchez-Anguix V, Aydogan R (2013) A negotiation approach for energy-aware room allocation systems. In: 1st Workshop on conflict resolution in decision making (COREDEMA 2013), Springer, vol 365, pp 280–291 es_ES
dc.description.references GOELEVEN E, De Raedt R, LEYMAN L, Verschuere B (2008) The karolinska directed emotional faces: a validation study. Cognit Emot 22(6):1094–1118 es_ES
dc.description.references Gouaïch A, Michel F, Guiraud Y (2005) MIC*: a deployment environment for autonomous agents. Springer, Berlin es_ES
dc.description.references Hale K, Stanney K (2002) Handbook of virtual environments: design, implementation, and applications. Human Factors and Ergonomics, Taylor and Francis, Oxfordshire es_ES
dc.description.references Han DM, Lim JH (2010) Smart home energy management system using IEEE 802.15. 4 and zigbee. Consumer Electronics, IEEE Transactions on 56(3):1403–1410. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5606276 es_ES
dc.description.references Holzapfel A, Stylianou Y (2007) A statistical approach to musical genre classification using non-negative matrix factorization. In: ICASSP 2007, IEEE international conference on, acoustics, speech and signal processing, 2007. IEEE, vol 2, pp 2–693 es_ES
dc.description.references Intille SS (2002) Designing a home of the future. IEEE Pervasive Comput 1(2):76–82 es_ES
dc.description.references Ioannou SV, Raouzaiou AT, Tzouvaras VA, Mailis TP, Karpouzis KC, Kollias SD (2005) Emotion recognition through facial expression analysis based on a neurofuzzy network. Neural Netw 18(4):423–435. doi: 10.1016/j.neunet.2005.03.004 es_ES
dc.description.references Jain D, Kobti Z (2011) Simulating the effect of emotional stress on task performance using OCC. Adv Artif Intell, Springer, pp 204–209. http://link.springer.com/chapter/10.1007/978-3-642-21043-3_24 es_ES
dc.description.references Journal I, Technological F, Singla K (2014) Audio noise reduction using different filters 1,2 1(11):1373–1375 es_ES
dc.description.references Kim MH, Joo YH, Park JB (2005) Emotion detection algorithm using frontal face image. In: International conference on computer application in shipbuilding es_ES
dc.description.references Leon E, Clarke G, Callaghan V, Doctor F (2010) Affect-aware behaviour modelling and control inside an intelligent environment. Pervasive Mob Comput 6(5):559–574. doi: 10.1016/j.pmcj.2009.12.002 es_ES
dc.description.references Mangina E, Carbo J, Molina JM (2009) Agent-based ubiquitous computing. Atlantis Press : World Scientific, Amsterdam; Paris. doi: 10.2991/978-94-91216-31-2 es_ES
dc.description.references Masthoff J (2011) Group recommender systems: Combining individual models. Recommender systems handbook. Springer, Berlin, pp 677–702 es_ES
dc.description.references McCarthy JF, Anagnost TD (1998) Musicfx: An arbiter of group preferences for computer supported collaborative workouts. In: Proceedings of the 1998 ACM conference on computer supported cooperative work, ACM, New York, NY, USA, CSCW ’98, pp 363–372 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. doi: 10.1080/00223989709603508 es_ES
dc.description.references Ortony A (1990) The cognitive structure of emotions. Cambridge University Press, Cambridge es_ES
dc.description.references Piana S, Odone F, Verri A, Camurri A (2014) Real-time Automatic Emotion Recognition from Body Gestures. arXiv preprint pp 1–7. arXiv:1402.5047 es_ES
dc.description.references Richert W, Coelho LP (2013) Building machine learning systems with python. Packt Publishing, Birmingham es_ES
dc.description.references Rincon J, Carrascosa C, Garcia E (2014a) Developing Intelligent Virtual Environments using MAM5 Meta-Model. In: International conference on practical applications of agents and multi-agent systems, Springer, pp 379–382 es_ES
dc.description.references Rincon J, Julian V, Carrascosa C (2015) Social emotional model. In: 13th International conference on practical applications of agents and multi-agent systems, LNAI, vol 9086, pp 199–210 es_ES
dc.description.references Rincon JA, Garcia E, Julian V, Carrascosa C (2014b) Developing adaptive agents situated in intelligent virtual environments. In: International conference on hybrid artificial intelligence systems, 8480 in LNCS, Springer, pp 98–109 es_ES
dc.description.references Sánchez-Anguix V, Julian V, Botti V, García-Fornes A (2013) Studying the impact of negotiation environments on negotiation teams’ performance. Inf Sci 219:17–40 es_ES
dc.description.references Sánchez-Anguix V, Aydogan R, Julian V, Jonker C (2014) Unanimously acceptable agreements for negotiation teams in unpredictable domains. Electron Commer Res Appl 13(4):243–265 es_ES
dc.description.references Satyanarayanan M (2002) A catalyst for mobile and ubiquitous computing. Pervasive Computing, IEEE 1(1):2–5. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=993138 es_ES
dc.description.references Saunier J, Carrascosa C, Galland S, Kanmeugne PS (2015) Agent bodies: An interface between agent and environment. In: Agent environments for multi-agent systems IV, Springer, pp 25–40 es_ES
dc.description.references Scott T, Green WB, Stuart A (2005) Interactive effects of low-pass filtering and masking noise on word recognition. J Am Acad Audiol 114(11):867–878 es_ES
dc.description.references Senechal T, Rapp V, Prevost L (2011) Facial feature tracking for emotional dynamic analysis. In: Blanc-Talon, J, Kleihorst, R, Philips, W, Popescu, D, Scheunders, P (eds.) Advanced Concepts for Intelligent Vision Systems. Lecture Notes in Computer Science, Vol 6915, pp 495–506 es_ES
dc.description.references Thalmann D, Musse SR, Braun A (2007) Crowd simulation, vol 1. Springer, Berlin es_ES
dc.description.references Tsonos D, Stavropoulou P, Kouroupetroglou G, Deligiorgi D, Papatheodorou N (2014) Emotional prosodic model evaluation for greek expressive text-to-speech synthesis. Lecture Notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics) 8514 LNCS(PART 2):166–174. doi: 10.1007/978-3-319-07440-5_16 es_ES
dc.description.references Tzanetakis G, Cook P (2002) Musical genre classification of audio signals. IEEE Trans Speech Audio Process 10(5):293–302. doi: 10.1109/TSA.2002.800560 es_ES
dc.description.references Viola P, Jones MJ (2004) Robust real-time face detection. Int J Comput Vis 57(2):137–154. doi: 10.1023/B:VISI.0000013087.49260.fb es_ES
dc.description.references Visutsak P (2012) Emotion classification using adaptive SVMs. Int J Comput Commun Eng 1(3):279–282 es_ES
dc.description.references Vukadinovic D, Pantic M (2005) Fully automatic facial feature point detection using Gabor feature based boosted classifiers. In: IEEE International conference on, systems, man and cybernetics, 2005 IEEE, vol 2, pp 1692–1698 es_ES


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