000145744 001__ 145744
000145744 005__ 20250923084441.0
000145744 0247_ $$2doi$$a10.3390/app142210251
000145744 0248_ $$2sideral$$a140670
000145744 037__ $$aART-2024-140670
000145744 041__ $$aeng
000145744 100__ $$0(orcid)0000-0002-6584-7259$$aÁlvarez, Pedro$$uUniversidad de Zaragoza
000145744 245__ $$aEmotion-Driven Music and IoT Devices for Collaborative Exer-Games
000145744 260__ $$c2024
000145744 5060_ $$aAccess copy available to the general public$$fUnrestricted
000145744 5203_ $$aExer-games are interactive experiences in which participants engage in physical exercises to achieve specific goals. Some of these games have a collaborative nature, wherein the actions and achievements of one participant produce immediate effects on the experiences of others. Music serves as a stimulus that can be integrated into these games to influence players’ emotions and, consequently, their actions. In this paper, a framework of music services designed to enhance collaborative exer-games is presented. These services provide the necessary functionality to generate personalized musical stimuli that regulate players’ affective states, induce changes in their physical performance, and improve the game experience. The solution requires to determine the emotions that each song may evoke in players. These emotions are considered when recommending the songs that are used as part of stimuli. Personalization seeds based on players’ listening histories are also integrated in the recommendations in order to foster the effects of those stimuli. Emotions and seeds are computed from the information available in Spotify data services, one of the most popular commercial music providers. Two small-scale experiments present promising preliminary results on how the players’ emotional responses match the affective information included in the musical elements of the solution. The added value of these affective services is that they are integrated into an ecosystem of Internet of Things (IoT) devices and cloud computing resources to support the development of a new generation of emotion-based exer-games.
000145744 536__ $$9info:eu-repo/grantAgreement/ES/DGA/T21-23R$$9info:eu-repo/grantAgreement/EUR/MINECO/TED2021-130374B-C22
000145744 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000145744 590__ $$a2.5$$b2024
000145744 592__ $$a0.521$$b2024
000145744 591__ $$aENGINEERING, MULTIDISCIPLINARY$$b50 / 175 = 0.286$$c2024$$dQ2$$eT1
000145744 591__ $$aCHEMISTRY, MULTIDISCIPLINARY$$b123 / 239 = 0.515$$c2024$$dQ3$$eT2
000145744 591__ $$aMATERIALS SCIENCE, MULTIDISCIPLINARY$$b283 / 460 = 0.615$$c2024$$dQ3$$eT2
000145744 591__ $$aPHYSICS, APPLIED$$b101 / 187 = 0.54$$c2024$$dQ3$$eT2
000145744 593__ $$aEngineering (miscellaneous)$$c2024$$dQ2
000145744 593__ $$aComputer Science Applications$$c2024$$dQ2
000145744 593__ $$aProcess Chemistry and Technology$$c2024$$dQ2
000145744 593__ $$aInstrumentation$$c2024$$dQ2
000145744 593__ $$aMaterials Science (miscellaneous)$$c2024$$dQ2
000145744 593__ $$aFluid Flow and Transfer Processes$$c2024$$dQ2
000145744 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000145744 700__ $$aGarcía de Quirós, Jorge
000145744 700__ $$0(orcid)0000-0001-5549-7649$$aFabra, Javier$$uUniversidad de Zaragoza
000145744 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf.
000145744 773__ $$g14, 22 (2024), 10251 [25 pp.]$$pAppl. sci.$$tApplied Sciences (Switzerland)$$x2076-3417
000145744 8564_ $$s623418$$uhttps://zaguan.unizar.es/record/145744/files/texto_completo.pdf$$yVersión publicada
000145744 8564_ $$s2699038$$uhttps://zaguan.unizar.es/record/145744/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000145744 909CO $$ooai:zaguan.unizar.es:145744$$particulos$$pdriver
000145744 951__ $$a2025-09-22-14:50:53
000145744 980__ $$aARTICLE