Autonomous driving paper index
New approaches to understanding the role of music in the encoding and retrieval of episodic and autobiographical memories
One-line summary
The phenomenon of music transporting a listener back to a particular time and place has long captured the interest of music cognition researchers, with research over the past two decades substantially advancing understanding of how music shapes memories.
Engineering notes
Key topics: autonomous driving. See the paper for implementation details and experimental results.
Chinese explanation / 中文解读
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Original abstract
The phenomenon of music transporting a listener back to a particular time and place has long captured the interest of music cognition researchers, with research over the past two decades substantially advancing understanding of how music shapes memories. However, important questions – concerning the unique contributions of different features of music to both encoding and retrieval processes, the neural mechanisms underlying music-supported memory, and the role of music in accurate memory for everyday events – remain open. This thesis seeks to address such outstanding gaps across four empirical investigations. In the first study, a survey is used to examine how musico-acoustic features relate to the emotional qualities, phenomenological content, and retrieval efficiency of music-evoked autobiographical memories. In the second study, a novel virtual reality paradigm is used to investigate how music characteristics influence episodic encoding in immersive virtual contexts. In the third study, the virtual reality paradigm is integrated with electroencephalography to study the neural mechanisms underlying music-supported episodic encoding. Finally, in the fourth study, a novel experience sampling paradigm is introduced to explore the role of music characteristics on encoding and retrieval success of the same everyday events. Among findings which reinforce the role of music emotionality in memory processes, I show that stimulus features of music – including its level of energeticness-to-acousticness and vocal prominence – contribute to episodic and autobiographical memory processes; attentional focus during encoding, whether directed internally or toward the music itself, plays a meaningful role in memory formation; and the effects of factors such as music liking may shift over time as memories move from episodic traces to stable and personally-relevant autobiographical memories. By contributing ecologically valid explorations of music-supported memory, this thesis begins to bridge the gap between music-supported encoding and retrieval, offering insights into how music characteristics uniquely shape the formation and stability of autobiographical memories.
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