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Pregled bibliografske jedinice broj: 1211913

Passive and active imagery evoked by music during GIM sessions


Dukić, Helena; Parncutt, Richard
Passive and active imagery evoked by music during GIM sessions // 2. European Guided Imagery and Music online conference 2020
Kopenhagen, Danska, 2020. str. 29-29 (predavanje, međunarodna recenzija, sažetak, znanstveni)


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Naslov
Passive and active imagery evoked by music during GIM sessions

Autori
Dukić, Helena ; Parncutt, Richard

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Skup
2. European Guided Imagery and Music online conference 2020

Mjesto i datum
Kopenhagen, Danska, 24.09.2020. - 26.09.2020

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
music narrativity, ‘Nurturing’ programme

Sažetak
THEME This study had three aims ; to investigate if passive (protagonist observes) and active (protagonists acts) imagery evoked by GIM’s ‘Nurturing’ programme (seven pieces) appeared in a narrative form (passive-active-passive), to examine if the passive and active imagery each corresponded to a particular rate of change of imagery (fast or slow) and to explore which music features elicited which type of imagery. METHOD 23 client sessions were recorded and transcribed, and the reported imagery was categorized as passive or active by three coders. Additionally, the transcription was divided into coherent segments of 10sec and an average number of images in each segment was calculated to estimate the rate of change of imagery. To investigate the relationship between imagery and musical structure, structural (event density, harmonic rhythm, interval size) and expressive (1st derivative of dynamics, pulse clarity) features were extracted from each piece using MIRToolBox, creating a multiple regression model. RESULTS Results show that five of the seven pieces evoked both active and passive imagery for most listeners in a three-part narrative form. Faster rate of change of images corresponded to passive imagery ; slower rate of change corresponded to active imagery. In instrumental pieces, the significant predictors of passive imagery were event density (negative correlation), interval size (negative), and 1st derivative of dynamics (positive) and of active imagery event density (positive), interval size (positive) and 1st derivative of dynamics (negative). The structural features affected the content of the imagery by either engaging the client emotionally and cognitively with high event density and large interval size (active imagery) or not (passive imagery). The expressive features affected the rate of change of imagery by either sustaining a particular image for a longer time with gradual change of dynamics (active imagery) or by shifting the clients’ attention rapidly from one object to another with rapid change of dynamics (passive imagery).

Izvorni jezik
Engleski

Znanstvena područja
Psihologija, Glazbena umjetnost



POVEZANOST RADA


Profili:

Avatar Url Helena Dukić (autor)


Citiraj ovu publikaciju:

Dukić, Helena; Parncutt, Richard
Passive and active imagery evoked by music during GIM sessions // 2. European Guided Imagery and Music online conference 2020
Kopenhagen, Danska, 2020. str. 29-29 (predavanje, međunarodna recenzija, sažetak, znanstveni)
Dukić, H. & Parncutt, R. (2020) Passive and active imagery evoked by music during GIM sessions. U: 2. European Guided Imagery and Music online conference 2020.
@article{article, author = {Duki\'{c}, Helena and Parncutt, Richard}, year = {2020}, pages = {29-29}, keywords = {music narrativity, ‘Nurturing’ programme}, title = {Passive and active imagery evoked by music during GIM sessions}, keyword = {music narrativity, ‘Nurturing’ programme}, publisherplace = {Kopenhagen, Danska} }
@article{article, author = {Duki\'{c}, Helena and Parncutt, Richard}, year = {2020}, pages = {29-29}, keywords = {music narrativity, ‘Nurturing’ programme}, title = {Passive and active imagery evoked by music during GIM sessions}, keyword = {music narrativity, ‘Nurturing’ programme}, publisherplace = {Kopenhagen, Danska} }




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