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A Multi-Level Model of Music-Evoked ...
~
University of California, Davis.
A Multi-Level Model of Music-Evoked Emotions : = Stimulus Features, Personality, Familiarity, and Liking.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
A Multi-Level Model of Music-Evoked Emotions :/
其他題名:
Stimulus Features, Personality, Familiarity, and Liking.
作者:
Barrett, Frederick Streeter.
面頁冊數:
1 online resource (92 pages)
附註:
Source: Dissertation Abstracts International, Volume: 75-01(E), Section: B.
標題:
Clinical psychology. -
電子資源:
click for full text (PQDT)
ISBN:
9781303442117
A Multi-Level Model of Music-Evoked Emotions : = Stimulus Features, Personality, Familiarity, and Liking.
Barrett, Frederick Streeter.
A Multi-Level Model of Music-Evoked Emotions :
Stimulus Features, Personality, Familiarity, and Liking. - 1 online resource (92 pages)
Source: Dissertation Abstracts International, Volume: 75-01(E), Section: B.
Thesis (Ph.D.)--University of California, Davis, 2013.
Includes bibliographical references
Features of music, both manually rated and computationally derived, have dominated research on music-evoked emotional experiences. Few studies have attempted to account for individual differences in emotional experiences during music listening, despite compelling evidence that these individual differences exist. Fewer studies still have addressed the role of liking and familiarity in terms of predicting emotional experiences. I propose and directly test a theoretical model that positions liking as a moderator of the influence of computationally derived stimulus features on the emotional state of the listener. I also test the role of affective personality traits as mediators of this moderation relationship. This constitutes the first direct test of the predictive value of liking in this moderation role. It also yields a nuanced story of affective personality traits selectively tuning the relationship between stimulus features, liking, and emotional experience. This work presents a new theoretical framework for considering emotional experiences evoked by popular and familiar music.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018
Mode of access: World Wide Web
ISBN: 9781303442117Subjects--Topical Terms:
649607
Clinical psychology.
Index Terms--Genre/Form:
554714
Electronic books.
A Multi-Level Model of Music-Evoked Emotions : = Stimulus Features, Personality, Familiarity, and Liking.
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Source: Dissertation Abstracts International, Volume: 75-01(E), Section: B.
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Features of music, both manually rated and computationally derived, have dominated research on music-evoked emotional experiences. Few studies have attempted to account for individual differences in emotional experiences during music listening, despite compelling evidence that these individual differences exist. Fewer studies still have addressed the role of liking and familiarity in terms of predicting emotional experiences. I propose and directly test a theoretical model that positions liking as a moderator of the influence of computationally derived stimulus features on the emotional state of the listener. I also test the role of affective personality traits as mediators of this moderation relationship. This constitutes the first direct test of the predictive value of liking in this moderation role. It also yields a nuanced story of affective personality traits selectively tuning the relationship between stimulus features, liking, and emotional experience. This work presents a new theoretical framework for considering emotional experiences evoked by popular and familiar music.
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click for full text (PQDT)
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