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[{"key": "dc.contributor.advisor", "value": "Woods, Naomi", "language": "", "element": "contributor", "qualifier": "advisor", "schema": "dc"}, {"key": "dc.contributor.author", "value": "Peltoniemi, Janne", "language": "", "element": "contributor", "qualifier": "author", "schema": "dc"}, {"key": "dc.date.accessioned", "value": "2023-06-12T06:16:44Z", "language": null, "element": "date", "qualifier": "accessioned", "schema": "dc"}, {"key": "dc.date.available", "value": "2023-06-12T06:16:44Z", "language": null, "element": "date", "qualifier": "available", "schema": "dc"}, {"key": "dc.date.issued", "value": "2023", "language": "", "element": "date", "qualifier": "issued", "schema": "dc"}, {"key": "dc.identifier.uri", "value": "https://jyx.jyu.fi/handle/123456789/87622", "language": null, "element": "identifier", "qualifier": "uri", "schema": "dc"}, {"key": "dc.description.abstract", "value": "Teko\u00e4ly tukee ihmisen toimintaa kasvavalla nopeudella ja monialaisesti. Musiikkialalla, teknologiset ratkaisut ja ohjelmistot kytkeytyv\u00e4t k\u00e4ytt\u00e4j\u00e4kokemuksiin\nmonien eri kanavien kautta. N\u00e4it\u00e4 ovat esim. musiikin kuuntelu, saatavuus ja\ntarjonta, peliala, kuluttajak\u00e4ytt\u00e4ytyminen, aivotutkimus, terveysala, musiikin\ntuottaminen ja esitt\u00e4minen, musiikin harjoittelu ja musiikin hy\u00f6dynt\u00e4minen ammatillisissa erikoisaloissa (kirurgit, lent\u00e4j\u00e4t). K\u00e4ytt\u00e4j\u00e4kokemuksiin sis\u00e4ltyy kuitenkin oletuksia, jotka saattavat olla virheellisi\u00e4 tai ainakin poikkeavia teko\u00e4lyn\ngeneroimassa tarjonnassa. K\u00e4ytt\u00e4j\u00e4kokemus ilmenee musiikissa hyvin yksil\u00f6llisesti. Erityisesti musiikin tuntemukset liittyv\u00e4t paljolti yksil\u00f6n omaan taustaan,\nkokemuksiin ja musiikilliseen ymm\u00e4rrykseen. Aikaisemmissa tutkimuksissa\nmusiikin laadun ja tuntemusten suhdetta on analysoitu, mutta usein kausaliteetti\non j\u00e4\u00e4nyt ohueksi. T\u00e4m\u00e4 voi osaltaan johtua siit\u00e4, ett\u00e4 musiikkin\u00e4ytteiden teoreettiset perusteet j\u00e4\u00e4v\u00e4t heikoiksi ja yhteytt\u00e4 kuuntelijan musiikilliseen\nymm\u00e4rrykseen ei tunnisteta. T\u00e4ss\u00e4 tutkimuksessa on analysoitu 10 musiikillista\nn\u00e4ytett\u00e4, joiden taustalla on teoreettinen perustelu laadusta ja erityisesti musiikillisesta j\u00e4nnitteest\u00e4. N\u00e4ytteet edustavat jazz-musiikkia, jossa v\u00e4rien, tunnelmien ja tilan vaihtelu mahdollistavat analyysin kahden erilaisen ryhm\u00e4n v\u00e4lill\u00e4,\nmuusikkojen ja ei-muusikkojen. Tutkimusmenetelm\u00e4n\u00e4 on sovellettu Design\nscience research (DSR) suunnittelututkimusta ja edelleen kokeellista tutkimusta\n(Experimental research), jossa on yhdistetty kvantitatiivista ja kvalitatiivista tutkimusta triangulaationa. Tulosten perusteella painottuvat kaksi tekij\u00e4\u00e4; (i) musiikin laadun hienojakoisuus ja (ii) kuuntelijan/k\u00e4ytt\u00e4j\u00e4n musiikillinen tausta ja\nymm\u00e4rrys, jotka olisi tunnistettava kohdennetuissa musiikkipalveluissa ja -sovelluksissa. Digitaaliset teko\u00e4ly\u00e4 (AI) hy\u00f6dynt\u00e4v\u00e4t musiikkisovellukset tarjoavat\nk\u00e4ytt\u00e4jilleen usein kappaleita, jotka perustuvat melko heikohkoon yksil\u00f6kohtaiseen parametrointiin. Lis\u00e4ksi musiikin sis\u00e4lt\u00e4mi\u00e4 hienojakoja, teoreettisia j\u00e4nnitteit\u00e4, ei juurikaan hy\u00f6dynnet\u00e4 teko\u00e4lyn tarjonnassa. Tulosten perusteella on\nluotu arkkitehtuurinen sovellusmalli teko\u00e4lyn tuloksellisempaan k\u00e4ytt\u00e4miseen.\nMusiikilliset ominaisuudet saattavat usein liitty\u00e4 vahvoihin k\u00e4ytt\u00e4jien tuntemuksiin, kuten onnellisuusteen tai ahdistukseen, riippuen k\u00e4ytt\u00e4j\u00e4n musiikillisesta\nymm\u00e4rryksest\u00e4. Monissa tapauksissa teko\u00e4ly saattaakin erehty\u00e4 ehdottamaan\nk\u00e4ytt\u00e4j\u00e4lle sis\u00e4lt\u00f6\u00e4, jonka vaikutus ilmenee p\u00e4invastaisena oletettuun n\u00e4hden.\nToisin sanoen ja metaforisestikin todettuna, hissimusiikki ei ole ratkaisu", "language": "fi", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.abstract", "value": "AI technology is supporting and assisting humans at in increasing speed and in\nvarious ways. In music, a massive number of technological solutions and software applications are involved in the user experience (UX) whether it is listening\nto music, eGames, shopping behavior, brainwaves, health care, mental orientation, music production and performance, music rehearsing or focus-oriented demands in professional fields (surgeons, flight pilots). Still, big gaps exist in user\nassumptions, which may be biasing the further utilization of AI technology. User\nexperience in music is a very unique process with individual variances. When\nreflected in emotions, the individual responses are largely connected to background experiences and skills of a person, e.g. musical competence. Previous\nliterature has been attempting to solve causalities in emotional response\nregarding certain music qualities. However, studies are unambiguous in their\nconclusive implications on this, partly due to somewhat weak efforts to analyze,\nselect and produce theoretically firm musical contents supporting the musicianship levels, or the trained ear of the user/listener, to describe it. In this study, 10\naudio stimuli were carefully designed and selected by using jazz music as the\nrepresentative genre. In jazz, the variation of colors, sounds and ambience are in\nfavor of this type of research setting, where two different groups \u2013 non-musicians\nand musicians \u2013 are compared in their emotional responses. Design science research (DSR) and specifically experimental research was applied with qualitative\nand quantitative methods to analyze the differences between fifteen participants.\nThe results contribute to the literature by implicating two important issues; (i)\nthe fine-quality of provided music is an essential factor and (ii) listener\u2019s musical\ncompetence needs to be solved to match the offered music content. Based on the\nresults, digital AI app is designed for more efficient matching. Digitalized music\nservices (AI) are massively offering music tracks to listeners based on quite\nloosely personalized parameters and furthermore, even a non-existent analysis\nof the tensions, which can arouse very strong extreme emotions, such as overjoy\nand anxiety \u2013 depending on the musical experience or musicianship of the listener. In many cases, present music services may lead to biased suggestions\nwhich are opposing the expectations of the listener. In other words, and also metaphorically, elevator music is not the solution.", "language": "en", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Submitted by Paivi Vuorio (paelvuor@jyu.fi) on 2023-06-12T06:16:44Z\nNo. of bitstreams: 0", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Made available in DSpace on 2023-06-12T06:16:44Z (GMT). No. of bitstreams: 0\n Previous issue date: 2023", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.format.extent", "value": "67", "language": "", "element": "format", "qualifier": "extent", "schema": "dc"}, {"key": "dc.language.iso", "value": "eng", "language": null, "element": "language", "qualifier": "iso", "schema": "dc"}, {"key": "dc.rights", "value": "In Copyright", "language": null, "element": "rights", "qualifier": null, "schema": "dc"}, {"key": "dc.subject.other", "value": "architecture", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "emotional response", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "tensions", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.title", "value": "Artificial intelligence \u2013 be aware \u2013 elevator music does not fit for all : comparison between non-musicians and musicians with AI architectural plan", "language": "", "element": "title", "qualifier": null, "schema": "dc"}, {"key": "dc.type", "value": "master thesis", "language": null, "element": "type", "qualifier": null, "schema": "dc"}, {"key": "dc.identifier.urn", "value": "URN:NBN:fi:jyu-202306123691", "language": "", "element": "identifier", "qualifier": "urn", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Master\u2019s thesis", "language": "en", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Pro gradu -tutkielma", "language": "fi", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Informaatioteknologian tiedekunta", "language": "fi", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Faculty of Information Technology", "language": "en", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Informaatioteknologia", "language": "fi", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Information Technology", "language": "en", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "Jyv\u00e4skyl\u00e4n yliopisto", "language": "fi", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "University of Jyv\u00e4skyl\u00e4", "language": "en", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Tietoj\u00e4rjestelm\u00e4tiede", "language": "fi", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Information Systems Science", "language": "en", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "yvv.contractresearch.funding", "value": "0", "language": "", "element": "contractresearch", "qualifier": "funding", "schema": "yvv"}, {"key": "dc.type.coar", "value": "http://purl.org/coar/resource_type/c_bdcc", "language": null, "element": "type", "qualifier": "coar", "schema": "dc"}, {"key": "dc.rights.copyright", "value": "\u00a9 The Author(s)", "language": null, "element": "rights", "qualifier": "copyright", "schema": "dc"}, {"key": "dc.rights.accesslevel", "value": "openAccess", "language": null, "element": "rights", "qualifier": "accesslevel", "schema": "dc"}, {"key": "dc.type.publication", "value": "masterThesis", "language": null, "element": "type", "qualifier": "publication", "schema": "dc"}, {"key": "dc.subject.oppiainekoodi", "value": "601", "language": "", "element": "subject", "qualifier": "oppiainekoodi", "schema": "dc"}, {"key": "dc.subject.yso", "value": "teko\u00e4ly", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "musiikki", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "tunteet", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "muusikot", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "kuunteleminen", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "jazz", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "artificial intelligence", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "music", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "emotions", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "musicians", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "listening", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "jazz", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.rights.url", "value": "https://rightsstatements.org/page/InC/1.0/", "language": null, "element": "rights", "qualifier": "url", "schema": "dc"}]
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