Developing an emotional-based application for human-agent societies

The final publication is available at Springer via http://dx.doi.org/10.1007/s00500-016-2289-5 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. 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. 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 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 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 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 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 Billhardt H, Julián V, Corchado JM, Fernández A (2015) Human-agent societies: challenges and issues. Int J Artif Intell 13(1):28–44 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 Canento F, Fred A, Silva H, Gamboa